Computational complexity is a discipline of computer science and mathematics which classifies computational problems depending on their inherent difficulty, i.e. categorizes algorithms according to their performance, and relates these classes to each other. P problems are a class of computational problems that can be solved in polynomial time using a deterministic Turing machine while solutions to NP problems can be verified in polynomial time, but we still do not know whether they can be solved in polynomial time as well. A (...) solution for the so-called NP-complete problems will also be a solution for any other such problems. Its artificial-intelligence analogue is the class of AI-complete problems, for which a complete mathematical formalization still does not exist. In this chapter we will focus on analysing computational classes to better understand possible formalizations of AI-complete problems, and to see whether a universal algorithm, such as a Turing test, could exist for all AI-complete problems. In order to better observe how modern computer science tries to deal with computational complexity issues, we present several different deep-learning strategies involving optimization methods to see that the inability to exactly solve a problem from a higher order computational class does not mean there is not a satisfactory solution using state-of-the-art machine-learning techniques. Such methods are compared to philosophical issues and psychological research regarding human abilities of solving analogous NP-complete problems, to fortify the claim that we do not need to have an exact and correct way of solving AI-complete problems to nevertheless possibly achieve the notion of strong AI. (shrink)

This paper presents a formalization of the classical proof of completeness in Henkin-style developed by Troelstra and van Dalen for intuitionistic logic with respect to Kripke models. The completeness proof incorporates their insights in a fresh and elegant manner that is better suited for mechanization. We discuss details of our implementation in the Lean theorem prover with emphasis on the prime extension lemma and construction of the canonical model. Our implementation is restricted to a system of intuitionistic propositional (...) logic with implication, conjunction, disjunction, and falsity given in terms of a Hilbert-style axiomatization. As far as we know, our implementation is the first verified Henkin-style proof of completeness for intuitionistic logic following Troelstra and van Dalen's method in the literature. (shrink)

Since the beginning of the 21st century, technologies like neural networks, deep learning and “artificial intelligence” (AI) have gradually entered the artistic realm. We witness the development of systems that aim to assess, evaluate and appreciate artifacts according to artistic and aesthetic criteria or by observing people’s preferences. In addition to that, AI is now used to generate new synthetic artifacts. When a machine paints a Rembrandt, composes a Bach sonata, or completes a Beethoven symphony, we say that this is (...) neither original nor real art, but simply the complex imitation and reproduction of existing products of human culture. We face the old question concerning the nature of creativity: what kind of recombination of ideas, unusual analogies, and conceptual connections are considered the mark of originality? Can AI produce artworks? Could machines reach a point at which we consider them genuinely creative? We also need to investigate the challenges posed by AI-art to the notion of authoriality: Who is the author of an artificially generated artifact? An artificial system could be considered just an artist’s and a programmer’s tool. However, we are also fascinated by the idea of autonomous artificial creativity in the aesthetic domain, as a manifestation of highly intelligent behavior. This paper will try to define some key questions around what could it mean to consider a machine creative or even equipped with artistic intentionality. (shrink)

Will AI take away your job? The answer is probably not. AI systems can be good predictive systems and be very good at pattern recognition. AI systems have a very repetitive approach to sets of data, which can be useful in certain circumstances. However, AI does make obvious mistakes. This is because AI does not have a sense of context. As Humans we have years of experience in the real world. We have vast amounts of contextual data stored in our (...) brains that make it possible to predict and to know boundaries of the real world so that even if we have never been in a particular situation, we are still able to deal with it. The unknown situation is where AI will fall down. In engineering, AI is being developed to monitor and control certain systems, this could extend to Nuclear Power Plants for example. If we examine control systems for Nuclear Power Plants on vessels, the system would likely be programmed using the safety of the reactor as the main priority. Automation is crucial in engineering systems like this, as the likelihood and cost of human error is high and human reaction times are slow in comparison to the system. However, there is always the possibility of unforeseen external factors that may override plant safety which cannot be programmed. If we look at a plant onboard a Submarine, for example, we see such additional factors as ship safety. In one example, the power plant might breach safety parameters, in which case an automatic system may shut down the reactor. However, there might be a greater urgency such as a flood in another compartment or an attack upon the vessel, that would override shutting down the reactor. The AI system can neither observe nor utilise information from the external environment to make this type of judgement, whereas the operator may be completely aware. To programme context into AI systems would be near impossible. We still need operators as we still need to understand the environment around us, which may contain an infinite number of possibilities. In a further example of this; if we examine the ICO (Information Commissioner's Office) guidance, it is clear that in clinical settings a human being will always be required to validate findings and to provide context. Sometimes having a lot of data just doesn't replace social interaction, intuition and experience. (shrink)

Simion and Kelp explain the trustworthiness of an AI based on that AI’s disposition to meet its obligations. Roughly speaking, according to Simion and Kelp, an AI is trustworthy regarding its task if and only if that AI is obliged to complete the task and its disposition to complete the task is strong enough. Furthermore, an AI is obliged to complete a task in the case where the task is the AI’s etiological function or design function. This account has a (...) strength in that it can provide a unificatory rationale for the trustworthy-making properties of AIs. According to this account, being explainable, being safe, and being transparent are the trustworthy-making properties of an AI because an AI can fulfill its etiological or design functions in the case where it is explainable, safe, and transparent. This paper shows that though Simion and Kelp’s account has a strength, this account is not satisfactory for two reasons. The first reason is that an AI’s trustworthiness is not determined just by the AI’s disposition to meet obligations, and the second reason is that it is difficult to explain how an AI’s etiological function and design function have to do with that AI’s obligations. To provide a full-fledged account, Simion and Kelp should dismiss these concerns. (shrink)

In AI safety research, the median timing of AGI arrival is often taken as a reference point, which various polls predict to happen in the middle of 21 century, but for maximum safety, we should determine the earliest possible time of Dangerous AI arrival. Such Dangerous AI could be either AGI, capable of acting completely independently in the real world and of winning in most real-world conflicts with humans, or an AI helping humans to build weapons of mass destruction, or (...) a national state coupled with AI-based government system. In this article, I demonstrate that the earliest timing of Dangerous AI, corresponding to 10 per cent of its arrival probability, is before 2030. Several partly independent sources of information are in accordance: 1. The growth of the hardware available for AI research makes human-brain-equivalents of compute available for AI research in the 2020s. It is fuelled by specialized AI-chips, the use of many chips in one processing unit, and the larger research budgets, among other things. 2. The neural network performance and other characteristics, like the number of parameters, is quickly increasing every year, and extrapolating this tendency suggests that roughly human-level performance in a few years, around 2025. 3. Expert polls show around 10 per cent of the probability of an early appearance of artificial general intelligence (AGI) in the next decade, that is, before 2030. 4. Hyperbolic growth in different big history models converges around 2025-2030 (the technological singularity). 5. Anthropic arguments (similar to the Doomsday argument) suggest that qualified observers are more likely to appear near the end of the AI research epoch, as the number of such observers grew exponentially. This number doubles every 5-10 years, and thus we are likely to find ourselves around a decade before the end of AI research, which will happen consequently around 2030. (shrink)

A few years ago, I wrote a short text illustrating a problematic situation regarding the judgment of whether a particular fictional person, Bento, led a happy life or not. I frequently use this text in my introductory classes as a didactic resource to explain the nature of philosophy, its role in our understanding of the world, and to demonstrate its main challenge: the aporetic nature of philosophical questions. These questions do not yield unanimous or incontrovertible solutions; they always demand choice (...) and engagement. The merit of this text (which will be reproduced in the dialogue below) lies in the fact that almost everyone, upon reading or hearing it, has an immediate and irresistible inclination to consider Bento's life either happy or unhappy. Opinions tend to differ on this matter. In all the countless times I presented it to an audience, the responses were never unanimous. Disagreements always arose, illustrating the aporetic nature of philosophical questions. As soon as I learned about ChatGPT and its extraordinary capabilities as an artificial intelligence (AI) system, I decided to test it with my text. Its answer to the question of Bento's happiness was remarkably clear; perhaps the most precise response I had ever received. I was genuinely impressed yet somewhat frustrated. Despite providing a rather sophisticated philosophical analysis of the situation, ChatGPT refused to make a choice, to decide whether or not the character led a happy life. It informed me that, as an AI system, it has no values and does not make choices. It neither likes nor dislikes; it does not prefer. This revelation shocked me because choosing, preferring, and deciding, even in the absence of complete information, are, in my view, not only the essence of philosophy but also the essence of human intelligence. Eager to see ChatGPT make choices, I adopted the strategy of asking it to assume a human persona, to pretend to be a person, and I began chatting with this individual. I reasoned that if it played the role of a person convincingly, it must make choices. And so, our philosophical conversation commenced. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

In AI safety research, the median timing of AGI creation is often taken as a reference point, which various polls predict will happen in second half of the 21 century, but for maximum safety, we should determine the earliest possible time of dangerous AI arrival and define a minimum acceptable level of AI risk. Such dangerous AI could be either narrow AI facilitating research into potentially dangerous technology like biotech, or AGI, capable of acting completely independently in the real world (...) or an AI capable of starting unlimited self-improvement. In this article, I present arguments that place the earliest timing of dangerous AI in the coming 10–20 years, using several partly independent sources of information: 1. Polls, which show around a 10 percent of the probability of an early creation of artificial general intelligence in the next 10-15 years. 2. The fact that artificial neural network (ANN) performance and other characteristics, like number of “neurons”, are doubling every year, and extrapolating this tendency suggests that roughly human-level performance will be reached in less than a decade. 3. The acceleration of the hardware performance available for AI research, which outperforms Moore’s law thanks to advances in specialized AI hardware, better integration of such hardware in larger computers, cloud computing and larger budgets. 4. Hyperbolic growth extrapolations of big history models. (shrink)

This paper serves as an intuition building mechanism for understanding the basics of AI, misalignment, and the reasons for why strong AI is being pursued. The approach is to engage with both pro and anti AI development arguments to gain a deeper understanding of both views, and hopefully of the issue as a whole. We investigate the basics of misalignment, common misconceptions, and the arguments for why we would want to pursue strong AI anyway. The paper delves into various aspects (...) of the problem, including existential risk, deception, hedonic adaptation, and the potential for the complete extinction of humanity. By integrating multiple elements of philosophy, this paper aims to provide a holistic understanding of the alignment problem and its significance for the future of humanity. (shrink)

The Salivaomics Knowledge Base (SKB) is designed to serve as a computational infrastructure that can permit global exploration and utilization of data and information relevant to salivaomics. SKB is created by aligning (1) the saliva biomarker discovery and validation resources at UCLA with (2) the ontology resources developed by the OBO (Open Biomedical Ontologies) Foundry, including a new Saliva Ontology (SALO). We define the Saliva Ontology (SALO; http://www.skb.ucla.edu/SALO/) as a consensus-based controlled vocabulary of terms and relations dedicated to the salivaomics (...) domain and to saliva-related diagnostics following the principles of the OBO (Open Biomedical Ontologies) Foundry. The Saliva Ontology is an ongoing exploratory initiative. The ontology will be used to facilitate salivaomics data retrieval and integration across multiple fields of research together with data analysis and data mining. The ontology will be tested through its ability to serve the annotation ('tagging') of a representative corpus of salivaomics research literature that is to be incorporated into the SKB. Background Saliva (oral fluid) is an emerging biofluid for non-invasive diagnostics used in the detection of human diseases. The need to advance saliva research is strongly emphasized by the National Institute of Dental and Craniofacial Research (NIDCR), and is included in the NIDCR's 2004- 2009 expert panel long-term research agenda [1]. The ability to monitor health status, disease onset, progression, recurrence and treatment outcome through noninvasive means is highly important to advancing health care management. Saliva is a perfect medium to be explored for personalized individual medicine including diagnostics, offering a non-invasive, easy to obtain means for detecting and monitoring diseases. Saliva testing potentially allows the patient to collect their own saliva samples at home, yielding convenience for the patient and savings in health costs, and facilitating multiple sampling. Specimen collection is less objectionable to patients and easier in children and elderly individuals. Due to these advantages. (shrink)

There is a need recognized by the National Institute of Dental & Craniofacial Research and the National Cancer Institute to advance basic, translational and clinical saliva research. The goal of the Salivaomics Knowledge Base (SKB) is to create a data management system and web resource constructed to support human salivaomics research. To maximize the utility of the SKB for retrieval, integration and analysis of data, we have developed the Saliva Ontology and SDxMart. This article reviews the informatics advances in saliva (...) diagnostics made possible by the Saliva Ontology and SDxMart. (shrink)

We describe the rationale for an application ontology covering the domain of human body fluids that is designed to facilitate representation, reuse, sharing and integration of diagnostic, physiological, and biochemical data, We briefly review the Blood Ontology (BLO), Saliva Ontology (SALO) and Kidney and Urinary Pathway Ontology (KUPO) initiatives. We discuss the methods employed in each, and address the project of using them as starting point for a unified body fluids ontology resource. We conclude with a description of how the (...) body fluids ontology initiative may provide support to basic and translational science. (shrink)

Hiện nay, chế độ sở hữu ở Việt Nam đã có những đổi mới cơ bản, nhưng vẫn còn những khác biệt rất lớn so với chế độ sở hữu ở các nền kinh tế thị trường hiện đại. Trong cơ cấu của chế độ sở hữu ở Việt Nam, tỷ trọng của sở hữu nhà nước còn quá lớn; kinh tế nhà nước giữ vai trò chủ đạo… Chính những khác biệt này đã làm cho nền kinh tế thị (...) trường Việt Nam bị méo mó và giảm lợi thế cạnh tranh quốc gia. Do vậy, công cuộc đổi mới và hoàn thiện chế độ sở hữu ở Việt Nam phải hướng tới việc khắc phục những hạn chế trên và đạt tới sức cạnh tranh ngang hàng với các nền kinh tế thị trường hiện đại khác. (shrink)

ĐỀ CƯƠNG HỌC PHẦN VĂN HÓA KINH DOANH 1. Tên học phần: VĂN HÓA KINH DOANH (BUSINESS CULTURE) 2. Mã học phần: BMGM1221 3. Số tín chỉ: 2 (24,6) (để học được học phần này, người học phải dành ít nhất 60 giờ chuẩn bị cá nhân).

(Mặt trận) - Chế độ sở hữu trong nền kinh tế thị trường định hướng xã hội chủ nghĩa Việt Nam trước hết phải tuân theo các nguyên tắc của nền kinh tế thị trường hiện đại. Trong các nguyên tắc của nền kinh tế thị trường hiện đại, nguyên tắc sở hữu tư nhân là nền tảng của nền kinh tế thị trường - là nguyên tắc quan trọng. Xa rời nguyên tắc này, dù chúng ta cố gắng xây (...) dựng nền kinh tế thị trường thì đó vẫn là một nền kinh tế thị trường khó được quốc tế công nhận. Sở hữu tư nhân hiện đại là chế độ sở hữu được cổ phần hóa, được xã hội hóa rất cao, công khai, minh bạch trên các thị trường chứng khoán. Tính xã hội cao của chế độ cổ phần hóa đã được C.Mác đánh giá, xem như là chế độ sở hữu quá độ sang hình thái kinh tế - xã hội mới. (shrink)

Hiện nay, chế độ sở hữu ở Việt Nam đã có những đổi mới cơ bản, nhưng vẫn còn những khác biệt rất lớn so với chế độ sở hữu ở các nền kinh tế thị trường hiện đại. Trong cơ cấu của chế độ sở hữu ở Việt Nam, tỷ trọng của sở hữu nhà nước còn quá lớn; kinh tế nhà nước giữ vai trò chủ đạo… Chính những khác biệt này đã làm cho nền kinh tế thị (...) trường Việt Nam bị méo mó và giảm lợi thế cạnh tranh quốc gia. Do vậy, công cuộc đổi mới và hoàn thiện chế độ sở hữu ở Việt Nam phải hướng tới việc khắc phục những hạn chế trên và đạt tới sức cạnh tranh ngang hàng với các nền kinh tế thị trường hiện đại khác. (shrink)

Despite the importance of human blood to clinical practice and research, hematology and blood transfusion data remain scattered throughout a range of disparate sources. This lack of systematization concerning the use and definition of terms poses problems for physicians and biomedical professionals. We are introducing here the Blood Ontology, an ongoing initiative designed to serve as a controlled vocabulary for use in organizing information about blood. The paper describes the scope of the Blood Ontology, its stage of development and some (...) of its anticipated uses. (shrink)

J’ai lu de nombreuses discussions récentes sur les limites du calcul et de l’univers en tant qu’ordinateur, dans l’espoir de trouver quelques commentaires sur le travail étonnant du physicien polymathe et théoricien de la décision David Wolpert, mais n’ont pas trouvé une seule citation et je présente donc ce résumé très bref. Wolpert s’est avéré quelques théoricaux d’impossibilité ou d’incomplétude renversants (1992 à 2008-voir arxiv dot org) sur les limites de l’inférence (computation) qui sont si généraux qu’ils sont indépendants de (...) l’appareil faisant le calcul, et même indépendamment des lois de la physique, ainsi ils s’appliquent à travers les ordinateurs, la physique, et le comportement humain. Ils utilisent la diagonalisation de Cantor, le paradoxe menteur et les worldlines (lignes du monde) pour fournir ce qui peut être le théorème ultime dans Turing Machine Theory, et apparemment fournir des aperçus de l’impossibilité, l’incomplétude, les limites du calcul, et l’univers comme ordinateur, dans tous les univers possibles et tous les êtres ou mécanismes possibles, générant, entre autres, un principe d’incertitude mécanique non quantique et une preuve de monothéisme. Il existe des connexions évidentes à l’œuvre classique de Chaitin, Solomonoff, Komolgarov et Wittgenstein et à l’idée qu’aucun programme (et donc aucun dispositif) ne peut générer une séquence (ou un dispositif) avec une plus grande complexité qu’il ne possède. On pourrait dire que cet ensemble de travaux implique l’athéisme puisqu’il ne peut y avoir d’entité plus complexe que l’univers physique et du point de vue wittgensteinien, « plus complexe » n’a aucun sens (n’a pas de conditions de satisfaction, c’est-à-dire véridique ou test). Même un « Dieu » (c’est-à-dire un « dispositif » avec un temps/ espace et une énergie illimité) ne peut pas déterminer si un « nombre » donné est « aléatoire», ni trouver un certain moyen de montrer qu’une « formule » donnée, un « théorème » ou une « phrase » ou un « dispositif » (tous ces jeux de langage complexes) fait partie d’un « système » particulier. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deux systemes peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir 'Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 2ème ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

This book is a collection of all the papers published in the special issue “Artificial Intelligence, Robots, and Philosophy,” Journal of Philosophy of Life, Vol.13, No.1, 2023, pp.1-146. The authors discuss a variety of topics such as science fiction and space ethics, the philosophy of artificial intelligence, the ethics of autonomous agents, and virtuous robots. Through their discussions, readers are able to think deeply about the essence of modern technology and the future of humanity. All papers were invited and completed (...) in spring 2020, though because of the Covid-19 pandemic and other problems, the publication was delayed until this year. I apologize to the authors and potential readers for the delay. I hope that readers will enjoy these arguments on digital technology and its relationship with philosophy. *** -/- Contents*** -/- Introduction : Descartes and Artificial Intelligence; Masahiro Morioka*** -/- Isaac Asimov and the Current State of Space Science Fiction : In the Light of Space Ethics; Shin-ichiro Inaba*** -/- Artificial Intelligence and Contemporary Philosophy : Heidegger, Jonas, and Slime Mold; Masahiro Morioka*** -/- Implications of Automating Science : The Possibility of Artificial Creativity and the Future of Science; Makoto Kureha*** -/- Why Autonomous Agents Should Not Be Built for War; István Zoltán Zárdai*** -/- Wheat and Pepper : Interactions Between Technology and Humans; Minao Kukita*** -/- Clockwork Courage : A Defense of Virtuous Robots; Shimpei Okamoto*** -/- Reconstructing Agency from Choice; Yuko Murakami*** -/- Gushing Prose : Will Machines Ever be Able to Translate as Badly as Humans?; Rossa Ó Muireartaigh***. (shrink)

Many philosophers have argued that large language models (LLMs) subvert the traditional undergraduate philosophy paper. For the enthusiastic, LLMs merely subvert the traditional idea that students ought to write philosophy papers “entirely on their own.” For the more pessimistic, LLMs merely facilitate plagiarism. We believe that these controversies neglect a more basic crisis. We argue that, because one can, with minimal philosophical effort, use LLMs to produce outputs that at least “look like” good papers, many students will complete paper assignments (...) in a way that fails to develop their philosophical abilities. We argue that this problem exists even if students can produce better papers with AI and even if instructors can detect AI-generated content with decent reliability. But LLMs also create a pedagogical opportunity. We propose that instructors shift the emphasis of their assignments from philosophy papers to “LLM dialogues”: philosophical conversations between the student and an LLM. We describe our experience with using these types of assignments over the past several semesters. We argue that, far from undermining quality philosophical instruction, LLMs allow us to teach philosophy more effectively than was possible before. (shrink)

We propose a nonmonotonic Description Logic of typicality able to account for the phenomenon of combining prototypical concepts, an open problem in the fields of AI and cognitive modelling. Our logic extends the logic of typicality ALC + TR, based on the notion of rational closure, by inclusions p :: T(C) v D (“we have probability p that typical Cs are Ds”), coming from the distributed semantics of probabilistic Description Logics. Additionally, it embeds a set of cognitive heuristics for concept (...) combination. We show that the complexity of reasoning in our logic is EXPTIME-complete as in ALC. (shrink)

Educators are increasingly concerned with the use of artificial intelligence (AI) in student writing. Much of the concern focuses on the issue of students using ChatGPT to complete their work. I introduce the CUPID model for instructors to use when thinking about how to pedagogically handle ChatGPT. The CUPID model lays out five general approaches: Catch, Utilize, Prevent, Ignore, and Disincentivize. I suggest that instructors should especially consider using certain assignments that fall under the approach “Disincentivize”. Philosophy instructors in particular (...) should assign more low-stakes writing, such as journals and reflection pieces. The adoption of low-stakes writing assignments aims to discourage students from relying on AI while promoting clarity of thought and deeper engagement with philosophical ideas. (shrink)

It has become somewhat of a platitude to call Aristotle the first epigenesist insofar as he thought form and structure emerged gradually from an unorganized, amorphous embryo. But modern biology now recognizes two senses of “epigenesis”. The first is this more familiar idea about the gradual emergence of form and structure, which is traditionally opposed to the idea of preformationism. But modern biologists also use “epigenesis” to emphasize the context-dependency of the process itself. Used in this sense development is not (...) simply the unfolding of a pre-determined sequence of changes specified in advance by the organism’s genotype. It is also sensitive to inputs from the internal and external environment, which help determine in real-time which of the many potential developmental pathways are actualized during the process. Within this paradigm developing embryos are viewed as dynamic and responsive systems that react to inputs from the internal and external environment ‘on the fly’. In this paper I argue that, while Aristotle was an epigenesist in the first sense, he would have rejected epigenesis in the more modern sense. First, Aristotle’s model of choice for a developing embryo is the automaton that executes a set of preset movements (GA 734b9-13, 741b7-15). The automatons he has in mind are not dynamic AI systems capable of modifying their behaviour on the fly in response to environmental cues but completely deterministic mechanisms whose movements are fixed by their original design. Second, given Aristotle’s views about the different kinds of causal powers there are, it looks like only intentional agents endowed with actual decision-making powers could be capable of the sort of plasticity at the core of a more dynamic epigenesis. For that kind of epigenesis requires powers for alternative outcomes, and Aristotle is explicit that such powers require rational desires (προαίρεσις) that control which of those alternatives to bring about. If I am right, then he could not have made sense of the idea of a developing embryo (as a non-intentional system) making adjustments to its phenotype on the fly in response to emerging problems and opportunities, given the conceptual resources available to him. (shrink)

Can we build machines with which we can have interesting conversations? Observing the new optimism of AI regarding deep learning and new language models, we set ourselves an ambitious goal: We want to find out how far we can get in creating a digital replica of a philosopher. This project has two aims; one more technical, investigating of how the best model can be built. The other one, more philosophical, explores the limits and risks which are accompanied by the creation (...) of digital replicas. In cooperation with Daniel Dennett, we took his complete works to fine-tune a GPT-3. In this paper, we share our first results with some piloting models and discuss legal and ethical questions about creating and interacting with digital replicas. (shrink)

The first decade of this century has seen the nascency of the first mathematical theory of general artificial intelligence. This theory of Universal Artificial Intelligence (UAI) has made significant contributions to many theoretical, philosophical, and practical AI questions. In a series of papers culminating in book (Hutter, 2005), an exciting sound and complete mathematical model for a super intelligent agent (AIXI) has been developed and rigorously analyzed. While nowadays most AI researchers avoid discussing intelligence, the award-winning PhD thesis (Legg, 2008) (...) provided the philosophical embedding and investigated the UAI-based universal measure of rational intelligence, which is formal, objective and non-anthropocentric. Recently, effective approximations of AIXI have been derived and experimentally investigated in JAIR paper (Veness et al. 2011). This practical breakthrough has resulted in some impressive applications, finally muting earlier critique that UAI is only a theory. For the first time, without providing any domain knowledge, the same agent is able to self-adapt to a diverse range of interactive environments. For instance, AIXI is able to learn from scratch to play TicTacToe, Pacman, Kuhn Poker, and other games by trial and error, without even providing the rules of the games. These achievements give new hope that the grand goal of Artificial General Intelligence is not elusive. This article provides an informal overview of UAI in context. It attempts to gently introduce a very theoretical, formal, and mathematical subject, and discusses philosophical and technical ingredients, traits of intelligence, some social questions, and the past and future of UAI. (shrink)

Many philosophers have argued that large language models (LLMs) subvert the traditional undergraduate philosophy paper. For the enthusiastic, LLMs merely subvert the traditional idea that students ought to write philosophy papers “entirely on their own.” For the more pessimistic, LLMs merely facilitate plagiarism. We believe that these controversies neglect a more basic crisis. We argue that, because one can, with minimal philosophical effort, use LLMs to produce outputs that at least “look like” good papers, many students will complete paper assignments (...) in a way that fails to develop their philosophical abilities. We argue that this problem exists even if students can produce better papers with AI and even if instructors can detect AI-generated content with decent reliability. But LLMs also create a pedagogical opportunity. We propose that instructors shift the emphasis of their assignments from philosophy papers to “LLM dialogues”: philosophical conversations between the student and an LLM. We describe our experience with using these types of assignments over the past several semesters. We argue that, far from undermining quality philosophical instruction, LLMs allow us to teach philosophy more effectively than was possible before. (shrink)

American Sign Language, or ASL as its acronym is commonly known, is a fascinating language, and many people outside of the Deaf community have begun to recognize its value and purpose. It is a visual language consisting of coordinated hand gestures, body movements, and facial expressions. Sign language is not a universal language; it varies by country and is heavily influenced by the native language and culture. The American Sign Language alphabet and the British Sign Language alphabet are completely contrary. (...) Fingerspelling is one-handed in ASL and two-handed in BSL, with the exception of the letter C. AI technologies, particularly deep learning, can play an important role in breaking down communication barriers between deaf or hearing-impaired people and other communities, significantly contributing to their social inclusion. Recent advances in sensing technologies and AI algorithms have paved the way for the development of a wide range of applications aimed at meeting the needs of the deaf and hearing-impaired communities. To that end, the purpose of this paper is By attempting to translate sign language using artificial intelligence algorithms, we focused in this paper on a transfer learning technique based on deep learning using a ResNet algorithm and compared it to previous papers in which we used VGG19[1]and mobileNet [2], where we get in the ResNet algorithm on the degree of Accuracy 93,48% e number of images (43500 in the dataset in size 64*64 pixel ) and the data split training data into training dataset (70%) and validation dataset(15%) and testing dataset(15%) and 20 epoch. (shrink)

The representations of deep convolutional neural networks (CNNs) are formed from generalizing similarities and abstracting from differences in the manner of the empiricist theory of abstraction (Buckner, Synthese 195:5339–5372, 2018). The empiricist theory of abstraction is well understood to entail infinite regress and circularity in content constitution (Husserl, Logical Investigations. Routledge, 2001). This paper argues these entailments hold a fortiori for deep CNNs. Two theses result: deep CNNs require supplementation by Quine’s “apparatus of identity and quantification” in order to (1) (...) achieve concepts, and (2) represent objects, as opposed to “half-entities” corresponding to similarity amalgams (Quine, Quintessence, Cambridge, 2004, p. 107). Similarity amalgams are also called “approximate meaning[s]” (Marcus & Davis, Rebooting AI, Pantheon, 2019, p. 132). Although Husserl inferred the “complete abandonment of the empiricist theory of abstraction” (a fortiori deep CNNs) due to the infinite regress and circularity arguments examined in this paper, I argue that the statistical learning of deep CNNs may be incorporated into a Fodorian hybrid account that supports Quine’s “sortal predicates, negation, plurals, identity, pronouns, and quantifiers” which are representationally necessary to overcome the regress/circularity in content constitution and achieve objective (as opposed to similarity-subjective) representation (Burge, Origins of Objectivity. Oxford, 2010, p. 238). I base myself initially on Yoshimi’s (New Frontiers in Psychology, 2011) attempt to explain Husserlian phenomenology with neural networks but depart from him due to the arguments and consequently propose a two-system view which converges with Weiskopf’s proposal (“Observational Concepts.” The Conceptual Mind. MIT, 2015. 223–248). (shrink)

THE CASE FOR GOVERNMENT BY ARTIFICIAL INTELLIGENCE. Tired of election madness? The rhetoric of politicians? Their unreliable promises? And less than good government? -/- Until recently, it hasn’t been hard for people to give up control to computers. Not very many people miss the effort and time required to do calculations by hand, to keep track of their finances, or to complete their tax returns manually. But relinquishing direct human control to self-driving cars is expected to be more of a (...) challenge, despite the predicted decrease in vehicle accidents thanks to artificial intelligence that isn’t subject to human distractions and errors of judgment. -/- If turning vehicle control over to artificial intelligence is a challenge, it is a very mild one compared with the idea that we might one day recognize and want to implement the advantages of human government by AI. But, like autonomous vehicle control, government by AI is likely to offer decided benefits. -/- In other publications, the author has studied a variety of widespread human limitations that, throughout human history, have led to much human suffering as well as ecological destruction. For the first time, these psychological and cognitive human shortcomings are taken into account in an essay that makes the case for government by artificial intelligence. (shrink)

Since the second half of the XXth century, researchers in cybernetics and AI, neural nets and connectionism, Artificial Life and new robotics have endeavoured to build different machines that could simulate functions of living organisms, such as adaptation and development, problem solving and learning. In this book these research programs are discussed, particularly as regard the epistemological issues of the behaviour modelling. One of the main novelty of this book consists of the fact that certain projects involving the building of (...) simulative machine models before the advent of cybernetics are been investigated for the first time, on the basis of little known, and sometimes completely forgotten or unpublished, texts and figures. These pre-cybernetics projects can be considered as steps toward the “discovery” of a modelling methodology that has been fully developed by those more recent research programs, and that shares some of their central goals and key methodological proposals. -/- More info in Springer link: http://www.springer.com/new+%26+forthcoming+titles+%28default%29/book/978-1-4020-0606-7 -/- This book is the English translation of La scoperta dell'artificiale, Dunod/Masson, Milan, 1998. (shrink)

In this paper, I shall review the reasons that let Putnam to propose functionalism and the reasons that subsequently led him to abandon it. I would like to discuss Putnam's views belonging to early Putnam and later Putnam. First, let us focus on early Putnam. Early Putnam tries to show the possibility of robot consciousness. As a functionalist, Putnam shows that the human being is an autonomous: that is, human mind is a computing machine. Later, he changes his position to (...) demonstrate not just his intellectual confidence, but also the virtue of seeing the bigger picture. Later Putnam realized this because this sort of utopianism is an illustration of what is called ‘scientism’. It is based on speculations regarding scientific possibilities. The problem is that it is completely unclear just what possibility has been envisaged when one speaks of robotic consciousness. While arguing against Turing machine, the later Putnam said that pessimism about the success of artificial intelligence (AI) in simulating human intelligence amounts to pessimism about possibility of describing the functioning of the brain. He raised the question: what connection is there between simulating intelligence and describing the brain? Even if the computer model of the brain is correct, it does not follow that AI will succeed. Simulation is just simulation, it does not mean exact replications of human mind. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost and globally (...) accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

The article "Philosophia of Pure Mind: Declassification of the basic Biblical Mysteries" offers a tool for solving biblical mysteries — this is the philosophy of pure mind, which brings to life conceptual thinking with private and extremely general comparative concepts — concepts of practical mind and categories of pure mind. From these positions, an active study of the fundamental biblical mysteries is carried out, and not just their description or discussion. The investigation implies their comprehension related to the understanding of (...) reality, which we find in the first lines of the Torah, in which comparative concepts are represented by gradation (light and darkness, day and night) and orthogonal views, i.e. the relationship between two pairs of opposites (day and night — evening and morning): "And there was evening, and it was morning: day one." Thus, through the concepts of practical mind, the author reveals the general idea of the Creator, reflecting the harmony of nature in Words, each of which is a comparative concept of one kind or another. This is the key to uncovering the Biblical mysteries, namely: how the Word of God relates to the mystery of the fall, to the mysteries of the Book of Creation (Sefer Yetzira), the mystery of the Holy Trinity and the Sign of the Cross. Finally, how the proposed thinking helps to understand and gain a more complete understanding of the essence of these mysteries within the framework of one more general problem. Moreover, the root of all these problems, in my opinion, is that the mind thinking of people, given to them, as well as to all living things from nature through sensations, was supplemented by a person with a multi-valued reason thinking with classification concepts of natural language. In this connection, the natural human mind, through unambiguous comparative concepts, was supplanted by reason, apparently absent in animals. All of this unfolds against the background of three successive Reformations, which gave rise to three Abrahamic religions dating back to the patriarch of the Semitic tribes, Abraham. Whereas the beginning of these reforms is associated with the struggle of Moses for faith in the invisible God Yahweh, perceived as a civil war between the supporters of Moses as one part of the Jews with another part of them worshipping the God of their ancestors, the creator of all things — Ilohim. The article concludes with an understanding of the 4th Reformation, which aimed to create a modern synthetic religion with the help of AI. (shrink)

Before commenting in detail on Making the Social World (MSW) I will first offer some comments on philosophy (descriptive psychology) and its relationship to contemporary psychological research as exemplified in the works of Searle (S) and Wittgenstein (W), since I feel that this is the best way to place Searle or any commentator on behavior, in proper perspective. It will help greatly to see my reviews of PNC, TLP, PI, OC,TARW and other books by these two geniuses of descriptive psychology. (...) -/- S makes no reference to W’s prescient statement of mind as mechanism in TLP, and his destruction of it in his later work. Since W, S has become the principal deconstructor of these mechanical views of behavior, and the most important descriptive psychologist (philosopher), but does not realize how completely W anticipated him nor, by and large, do others (but see the many papers and books of Proudfoot and Copeland on W, Turing and AI). S’s work is vastly easier to follow than W’s, and though there is some jargon, it is mostly spectacularly clear if you approach it from the right direction. See my reviews of W S and other books for more details. -/- Overall, MSW is a good summary of the many substantial advances over Wittgenstein resulting from S’s half century of work, but in my view, W still is unequaled for basic psychology once you grasp what he is saying (see my reviews). Ideally they should be read together: Searle for the clear coherent prose and generalizations on the operation of S2/S3, illustrated with W’s perspicacious examples of the operation of S1/S2, and his brilliant aphorisms. If I were much younger I would write a book doing exactly that. -/- Those wishing a comprehensive up to date account of Wittgenstein, Searle and their analysis of behavior from the modern two systems view may consult my article The Logical Structure of Philosophy, Psychology, Mind and Language as Revealed in Wittgenstein and Searle (2016). Those interested in all my writings in their most recent versions may download from this site my e-book ‘Philosophy, Human Nature and the Collapse of Civilization Michael Starks (2016)- Articles and Reviews 2006-2016’ by Michael Starks First Ed. 662p (2016). -/- All of my papers and books have now been published in revised versions both in ebooks and in printed books. -/- Talking Monkeys: Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet - Articles and Reviews 2006-2017 (2017) https://www.amazon.com/dp/B071HVC7YP. -/- The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle--Articles and Reviews 2006-2016 (2017) https://www.amazon.com/dp/B071P1RP1B. -/- Suicidal Utopian Delusions in the 21st century: Philosophy, Human Nature and the Collapse of Civilization - Articles and Reviews 2006-2017 (2017) https://www.amazon.com/dp/B0711R5LGX . (shrink)

Standpoint logic is a recently proposed formalism in the context of knowledge integration, which advocates a multi-perspective approach permitting reasoning with a selection of diverse and possibly conflicting standpoints rather than forcing their unification. In this paper, we introduce nested sequent calculi for propositional standpoint logics---proof systems that manipulate trees whose nodes are multisets of formulae---and show how to automate standpoint reasoning by means of non-deterministic proof-search algorithms. To obtain worst-case complexity-optimal proof-search, we introduce a novel technique in the context (...) of nested sequents, referred to as "coloring," which consists of taking a formula as input, guessing a certain coloring of its subformulae, and then running proof-search in a nested sequent calculus on the colored input. Our technique lets us decide the validity of standpoint formulae in CoNP since proof-search only produces a partial proof relative to each permitted coloring of the input. We show how all partial proofs can be fused together to construct a complete proof when the input is valid, and how certain partial proofs can be transformed into a counter-model when the input is invalid. These "certificates" (i.e. proofs and counter-models) serve as explanations of the (in)validity of the input. (shrink)

Techno-ethics is the area in the philosophy of technology which deals with emerging robotic and digital AI technologies. In the last decade, a new techno-ethical challenge has emerged: Autonomous Weapon Systems (AWS), defensive and offensive (the article deals only with the latter). Such AI-operated lethal machines of various forms (aerial, marine, continental) raise substantial ethical concerns. Interestingly, the topic of AWS was almost not treated in Jewish law and its research. This article thus proposes an introductory ethical-halakhic perspective on AWS, (...) in the Israeli context. The article has seven sections. Section 1 defines AWS and the main ethical concerns it evokes, while providing elementary definitions and distinctions. §2 locates AWS within the realm of Jewish laws of war (hilkhot-ẓava), which recognize the right for self-defense, as well as the status of universally accepted moral norms. §3 unfolds pragmatic ethical premises of a humane techno-ethics, which are required for the identifying AWS as a moral question: I. Relationality; II. Technology is not (completely) neutral; III. The fallaciousness of transhumanism. It is argued that these premises are compatible with halakhic tradition. §4 investigates the question of the morality of AWS, within the field of military AI ethics. It is clarified why the standard categories of war-ethics (ad bello, in bellum) do not capture the singular ethical problem of AWS, which pertains to the operation of military means, rather than their human targets. It is argued that reductive perception of the human mind is misleading about the feasibility of ‘ethical robots’, capable of independent moral discretion. To provide a thick examination of human agency from the perspective of Jewish tradition, §5 explores two stories from the biblical book of Samuel (the murder of Nob’s priests and of Uriah). The lessons about the significance of moral agency within the pubic-political military sphere are made explicit, as well as the possible costs resulting from the loss of human agency in the case of AWS. Given that realpolitik considerations are basic in halakhah, §6 considers some possible contemporary socio-political implications of the AWS, that may risk the sustainability of the democratic project. §7 concludes by pointing out humane contributions of Jewish law to contemporary techno-ethics. (shrink)

Une brève revue de la vie et de l’autobiographie spirituelle du mystique américain unique Adi Da (Franklin Jones). L’autocollant sur la couverture de certaines éditions dit «L’autobiographie spirituelle la plus profonde de tous les temps» et cela pourrait bien être vrai. Je suis dans mes 70 ans et j’ai lu de nombreux livres de professeurs spirituels et de spiritualité, et c’est l’un des plus grands. Certes, il est by loin le compte le plus complet et le plus clair du processus (...) d’illumination que j’ai jamais vu. Même si vous n’avez aucun intérêt du tout dans le plus fascinant de tous les processus psychologiques humains, c’est un document étonnant qui révèle beaucoup sur la religion, le yoga et la psychologie humaine et sonde les profondeurs et les limites des possibilités humaines. Je le décris en détail et je compare son enseignement à celui du mystique indien contemporain Osho. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deux systeme peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

Après un demi-siècle dans l’oubli, la nature de la conscience est maintenant le sujet le plus chaud dans les sciences du comportement et la philosophie. Commençant par le travail pionnier de Ludwig Wittgenstein dans les années 1930 (les Livres Bleus et Brown) et des années 50 à nos jours par son successeur logique John Searle, j’ai créé la table suivante comme un heuristique pour la poursuite de cette étude. Les lignes montrent divers aspects ou façons d’étudier et les colonnes montrent (...) les processus involontaires et les comportements volontaires comprenant les deux systèmes (deux processus) de la Structure Logique de la Conscience (LSC), qui peuvent également être considérés comme la structure logique de la rationalité (LSR-Searle), du comportement (LSB), de la personnalité (LSP), de la réalité (LSOR), de l’intentionnalité (LSI) - le terme philosophique classique, la psychologie détative , la psychologie descriptive de la pensée (DPT) - ou mieux, le langage de la psychologie descriptive de la pensée (LDPT), termes introduits ici et dans mes autres écrits très récents. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deuxemssyst peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

Ce n’est pas un livre parfait, mais il est unique, et si vous écrémez les 400 premières pages ou plus, les 300 dernières (sur quelque 700) sont une assez bonne tentative d’appliquer ce qui est connu sur le comportement aux changements sociaux de la violence et des manières au fil du temps. Le sujet fondamental est le suivant : comment notre génétique contrôle-t-elle et limite-t-elle le changement social ? Étonnamment, il ne parvient pas à décrire la nature de la sélection (...) des parents (fitness inclusif) qui explique une grande partie de la vie sociale animale et humaine. Il n’a pas non plus (comme presque tout le monde) un cadre clair pour décrire la structure logique de la rationalité (LSR—terme préféré de John Searle) que je préfère appeler la psychologie descriptive de la pensée de haut ordre (DPHOT). Il aurait dû dire quelque chose sur les nombreuses autres façons d’abuser et d’exploiter les gens et la planète, car ceux-ci sont maintenant beaucoup plus graves que de rendre d’autres formes de violence presque hors de propos. Étendre le concept de violence pour inclure les-conséquences mondiales à long terme de la réplication des gènes de quelqu’un, et avoir une compréhension de la nature de la façon dont fonctionne l’évolution (c.-à-d., la sélection des parents) fournira une perspective très différente sur l’histoire, les événements actuels, et comment les choses sont susceptibles d’aller dans les quelques centaines d’années. On pourrait commencer par noter que la diminution de la violence physique au cours de l’histoire a été compensée (et rendue possible) par le viol sans pitié de la planète (c’est-à-dire par la destruction par les gens de l’avenir de leur propre descendant). Pinker (comme la plupart des gens la plupart du temps) est souvent distrait par les superficialités de la culture quand c’est la biologie qui compte. Voir mes critiques récentes de Wilson 'The Social Conquest of Earth' et Nowak and Highfield’s 'SuperCooperators' ici et sur le net pour un bref résumé de la vacuité de «véritable altruisme»(sélection de groupe), et le fonctionnement de la sélection des parents et l’inutilité et la superficialité de décrire le comportement en termes culturels. C’est la question classique de la nature/nourrir et la nature l’emporte nourrir - infiniment. Ce qui importe vraiment, c’est la violence faite à la terre par l’augmentation incessante de la population et de la destruction des ressources (en raison de la médecine et de la technologie et de la répression des conflits par la police et l’armée). Environ 200.000 personnes de plus par jour (un autre Las Vegas tous les 10 jours, un autre Los Angeles chaque mois), les 6 tonnes ou plus de la base va dans la mer / personne / année - environ 1% du total du monde disparaissant chaque année, etc. signifie que si un miracle se produit la biosphère et la civilisation va largement s’effondrer au cours des deux prochains siècles, et il y aura la famine, la misère et la violence de tous les types. Les manières, les opinions et les tendances des gens à commettre des actes de violence ne sont d’aucune pertinence à moins qu’ils ne puissent faire quelque chose pour éviter cette catastrophe, et je ne vois pas comment cela va se produire. Il n’y a pas de place pour les arguments, et aucun point non plus (oui je suis un fataliste), donc je vais juste faire quelques commentaires comme s’ils étaient des faits. N’imaginez pas que j’ai un intérêt personnel dans la promotion d’un groupe au détriment des autres. J’ai 78, n’ont pas de descendants et pas de proches parents et ne s’identifient à aucun groupe politique, national ou religieux et considèrent ceux que j’appartiens par défaut aussi répugnant que tout le reste. Les parents sont les pires ennemis de la vie sur Terre et, compte tenu de la vue générale des choses, les femmes sont aussi violentes que les hommes quand on considère le fait que la violence des femmes (comme la plupart de celle faite par les hommes) se fait en grande partie au ralenti, à une distance dans le temps et l’espace et la plupart du temps effectuée par procuration -par leurs descendants et par les hommes. De plus en plus, les femmes portent des enfants, qu’elles aient un compagnon ou non et que l’effet d’empêcher une femme de se reproduire est en moyenne beaucoup plus important que d’arrêter un homme, car ils constituent le goulot d’étranglement reproducteur. On peut considérer que les gens et leur progéniture méritent richement toute la misère vient leur chemin et (à de rares exceptions près) les riches et les célèbres sont les pires délinquants. Meryl Streep ou Bill Gates ou J.K Rowling et chacun de leurs enfants peuvent détruire 50 tonnes de terre d’o re plus chaque année pendant des générations dans l’avenir, tandis qu’un fermier indien et son peut détruire 1 tonne. Si quelqu’un nie que c’est très bien, et à leurs descendants, je dis "Bienvenue à l’enfer sur Terre"(WTHOE). Aujourd’hui, l’accent est toujours mis sur les droits de l’homme, mais il est clair que si la civilisation doit avoir une chance, les responsabilités humaines doivent remplacer les droits de l’homme. Personne n’obtient des droits sans être un citoyen responsable et la première chose que cela signifie est la destruction de l’environnement minimal. La responsabilité la plus fondamentale n’est pas les enfants à moins que votre société vous demande de les produire. Une société ou un monde qui permet aux gens de se reproduire au hasard sera toujours exploité par des gènes égoïstes jusqu’à ce qu’il s’effondre (ou atteint un point où la vie est si horrible qu’il ne vaut pas la peine de vivre). Si la société continue à maintenir les droits de l’homme comme primaires, à leurs descendants, on peut dire avec confiance "WTHOE". Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deuxemssyst peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

«Les gens disent encore et encore que la philosophie ne progresse pas vraiment, que nous sommes toujours occupés avec les mêmes problèmes philosophiques que les Grecs. Mais les gens qui disent cela ne comprennent pas pourquoi il doit en être ainsi. C’est parce que notre langue est restée la même et continue de nous séduire à poser les mêmes questions. Tant qu’il continue à y avoir un verbe qui ressemble à s’il fonctionne de la même manière que de manger et (...) de boire, tant que nous avons encore les adjectifs 'identiques', 'faux', 'false', 'possible', tant que nous continuons à parler d’une rivière du temps, d’une étendue d’espace, etc., etc., les gens continueront à trébucher sur les mêmes difficultés déroutantes et se retrouveront à regarder quelque chose qui ne semble pas capable de se dégager. Et qui plus est, cela satisfait un désir pour le transcendant, parce que, dans la mesure où les gens pensent qu’ils peuvent voir les ‘«limites de la compréhension humaine », ils croient bien sûr ce ils peuvent voir au-delà de ceux-ci. Cette citation est de Ludwig Wittgenstein qui a redéfini la philosophie il ya 70 ans (mais la plupart des gens n’ont pas encore de le savoir). Dennett, bien qu’il ait été un philosophe pendant une quarantaine d’années, est l’un d’entre eux. Il est également curieux que lui et son antagoniste principal, John Searle, étudié sous les célèbres Wittgensteiniens (Searle avec John Austin, Dennett avec Gilbert Ryle) mais Searle plus ou moins obtenu le point et Dennett n’a pas, (bien qu’il est étirer les choses à appeler Searle ou Ryle Wittgensteinians). Dennett est un déterministe difficile (bien qu’il essaie de se faufiler la réalité dans la porte arrière), et peut-être cela est dû à Ryle, dont le célèbre livre "Le concept de l’esprit" (The Concept of Mind) (1949) continue d’être réimprimé. Ce livre a fait un excellent travail d’exorciser le fantôme, mais il a quitté la machine. Dennett aime faire les erreurs Wittgenstein, Ryle (et beaucoup d’autres depuis) ont exposé en détail. Notre utilisation des mots conscience, choix, liberté, intention, particule, pensée, détermine, vague, cause, arrivé, événement (et ainsi de suite sans fin) sont rarement une source de confusion, mais dès que nous quittons la vie normale et entrer dans la philosophie (et toute discussion détachée de l’environnement dans lequel la langue a évolué-c’est-à-dire le contexte exact dans lequel les mots avaient un sens) chaos règne. Comme la plupart, Dennett n’a pas un cadre cohérent - que Searle a appelé la structure logique de la rationalité. J’ai développé sur ce considérablement depuis que j’ai écrit cette revue et mes articles récents montrent en détail ce qui ne va pas avec l’approche de Dennett à la philosophie, que l’on pourrait appeler Scientism sur les stéroïdes. Permettez-moi de terminer par une autre citation de Wittgenstein-- «L’ambition est la mort de la pensée. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deux systèmes peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2020) et autres. (shrink)

Horwich donne une belle analyse de Wittgenstein (W) et est un érudit W de premier plan, mais à mon avis, ils sont tous en deçà d’une pleine appréciation, comme je l’explique longuement dans cet examen et beaucoup d’autres. Si l’on ne comprend pas W (et de préférence Searle aussi) alors je ne vois pas comment on pourrait avoir plus qu’une compréhension superficielle de la philosophie et de la pensée de l’ordre supérieur et donc de tout comportement complexe (psychologie, sociologie, anthropologie, (...) histoire, littérature, société). En un mot, W a démontré que lorsque vous avez montré comment une phrase est utilisée dans le contexte d’intérêt, il n’y a rien de plus à dire. Je vais commencer par quelques citations notables, puis donner ce que je pense sont les considérations minimales nécessaires pour comprendre Wittgenstein, la philosophie et le comportement humain. Tout d’abord, on pourrait noter que mettre "meta" en face de n’importe quel mot devrait être suspect. W a fait remarquer par exemple, que la métamathématique est mathématiques comme les autres. L’idée que nous pouvons sortir de la philosophie (c’est-à-dire la psychologie descriptive de la pensée de haut ordre) est elle-même une profonde confusion. Une autre irritation ici (et tout au long de l’écriture académique pour les 4 dernières décennies) est le sexisme linguistique inverse constant de «elle» et «la sienne» et «elle» ou «il / elle», etc, où «ils» et «leur» et «eux» ferait bien. De même, l’utilisation du mot Français «répertoire» où le «répertoire» anglais se portera plutôt bien. La lacune majeure est l’échec complet (bien que très commun) d’employer ce que je considère comme la vue extrêmement puissante et intuitive de deux systèmes de HOT et Searle cadre que j’ai décrit ci-dessus. C’est particulièrement poignant dans le chapitre sur le sens p111 et seq. (en particulier dans les notes de bas de page 2-7), où nous nageons dans l’eau très boueuse sans le cadre de l’automatisé vrai seul S1, propositionnelle dispositionnelle S2, COS etc. On peut également avoir une meilleure vue de l’intérieur et de l’extérieur en lisant par exemple, Johnston ou Budd (voir mes commentaires). Horwich fait cependant beaucoup de commentaires incisifs. J’ai particulièrement aimé son résumé de l’importation de la position anti-théorique de W sur p65. Il doit mettre davantage l’accent sur 'On Certainty', récemment l’objet de beaucoup d’efforts de Daniele Moyal- Sharrock, Coliva et d’autres et résumé dans mes récents articles. Horwich est de premier ordre et son travail vaut bien l’effort. On espère qu’il (et tout le monde) étudiera Searle et une certaine psychologie moderne ainsi que Hutto, Read, Hutchinson, Stern, Moyal-Sharrock, Stroll, Hacker et Baker, etc. pour atteindre une large vision moderne du comportement. La plupart de leurs papiers sont sur academia dot edu et philpapers dot org, mais pour PMS Hacker voir http : info dot sjc dot ox dot ac dot uk/ scr / hacker / DownloadPapers dot html. Il donne l’un des plus beaux résumés de l’endroit où une compréhension de Wittgenstein nous laisse que j’ai jamais vu. « Il ne doit y avoir aucune tentative d’expliquer notre activité linguistique/conceptuelle (PI 126) comme dans la réduction de l’arithmétique à la logique de Frege ; aucune tentative de lui donner des fondations épistémologiques (PI 124) comme dans les comptes basés sur le sens d’une connaissance a priori; aucune tentative de caractériser des formes idéalisées de celui-ci (PI 130) comme dans le sens logique; aucune tentative de réforme (PI 124, 132) comme dans la théorie de l’erreur de Mackie ou l’intuitionnisme de Dummett; aucune tentative de rationaliser (PI 133) comme dans le récit de Quine de l’existence; aucune tentative pour le rendre plus cohérent (PI 132) comme dans la réponse de Tarski aux paradoxes menteurs; et aucune tentative pour le rendre plus complet (PI 133) comme dans le règlement des questions d’identité personnelle pour des scénarios hypothétiques bizarres de « téléportation ». Enfin, permettez-moi de suggérer qu’avec la perspective que j’ai encouragée ici, W est au centre de la philosophie et de la psychologie contemporaines et n’est pas obscure, difficile ou non pertinente, mais scintillante, profonde et limpide et que de lui manquer est de manquer l’une des plus grandes aventures intellectuelles possibles. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deuxemssyst peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

Before commenting in detail on making the Social World (MSW) I will first offer some comments on philosophy (descriptive psychology) and its relationship to contemporary psychological research as exemplified in the works of Searle (S) and Wittgenstein (W), since I feel that this is the best way to place Searle or any commentator on behavior, in proper perspective. It will help greatly to see my reviews of PNC, TLP, PI, OC, TARW and other books by these two geniuses of descriptive (...) psychology. -/- S makes no reference to W’s prescient statement of mind as mechanism in TLP, and his destruction of it in his later work. Since W, S has become the principal deconstructor of these mechanical views of behavior, and the most important descriptive psychologist (philosopher), but does not realize how completely W anticipated him nor, by and large, do others (but see the many papers and books of Proudfoot and Copeland on W, Turing and AI). S’s work is vastly easier to follow than W’s, and though there is some jargon, it is mostly spectacularly clear if you approach it from the right direction. See my reviews of W S and other books for more details. -/- Overall, MSW is a good summary of the many substantial advances over Wittgenstein resulting from S’s half century of work, but in my view, W still is unequaled for basic psychology once you grasp what he is saying (see my reviews). Ideally, they should be read together: Searle for the clear coherent prose and generalizations on the operation of S2/S3, illustrated with W’s perspicacious examples of the operation of S1/S2, and his brilliant aphorisms. If I were much younger I would write a book doing exactly that. -/- Those wishing a comprehensive up to date framework for human behavior from the modern two systems view may consult my book ‘The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle’ 2nd ed (2019). Those interested in more of my writings may see ‘Talking Monkeys--Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet--Articles and Reviews 2006-2019 3rd ed (2019), The Logical Structure of Human Behavior (2019), and Suicidal Utopian Delusions in the 21st Century 4th ed (2019) . (shrink)

Avant de commenter en détail sur Making the Social World (MSW) Je vais d’abord offrir quelques commentaires sur la philosophie (psychologie descriptive) et son rapport à la recherche psychologique contemporaine comme illustré dans les œuvres de Searle (S) et Wittgenstein (W), puisque je pense que c’est la meilleure façon de placer Searle ou tout commentateur sur le comportement, en perspective appropriée. Il aidera grandement à voir mes critiques de PNC, TLP, PI, OC, TARW et d’autres livres par ces deux génies (...) de la psychologie descriptive. S ne fait aucune référence à la déclaration prémonitoire de L’esprit de W comme mécanisme dans TLP, et sa destruction de celui-ci dans son travail ultérieur. Depuis W, S est devenu le principal déconstructeur de ces vues mécaniques du comportement, et le psychologue descriptif le plus important (philosophe), mais ne se rend pas compte à quel point W l’a anticipé complètement ni, dans l’ensemble, faire d’autres (mais voir les nombreux papiers et livres de Proudfoot et Copeland sur W, Turing et AI). Le travail de S est beaucoup plus facile à suivre que celui de W, et bien qu’il y ait un certain jargon, il est surtout spectaculairement clair si vous l’approchez de la bonne direction. Voir mes commentaires de W S et d’autres livres pour plus de détails. Dans l’ensemble, MSW est un bon résumé des nombreux progrès substantiels sur Wittgenstein résultant du demi-siècle de travail de S, mais à mon avis, W est toujours inégalé pour la psychologie de base une fois que vous saisissez ce qu’il dit (voir mes commentaires). Idéalement, ils devraient être lus ensemble: Searle pour la prose clairement cohérente et les généralisations sur le fonctionnement de S2/S3, illustré avec les exemples perspicaces de W de l’opération de S1/S2, et ses aphorismes brillants. Si j’étais beaucoup plus jeune, j’écrirais un livre faisant exactement cela. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deuxemssyst peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2019) et autres. (shrink)

Depuis Gintis est un économiste senior et j’ai lu certains de ses livres précédents avec intérêt, je m’attendais à un peu plus de perspicacité dans le comportement. Malheureusement, il fait les mains mortes de la sélection de groupe et la phénoménologie dans les pièces maîtresses de ses théories du comportement, et cela invalide en grande partie le travail. Pire encore, puisqu’il montre un si mauvais jugement ici, il remet en question tout son travail précédent. La tentative de ressusciter la sélection (...) de groupe par ses amis à Harvard, Nowak et Wilson, il y a quelques années, c’était l’un des principaux scandales en biologie au cours de la dernière décennie, et j’ai raconté la triste histoire dans mon article 'Altruism, Jesus and the End of the World-how the Templeton Foundation bought a Harvard Professorship and attacked Evolution, Rationality and Civilization -- A review of E.O. Wilson 'The Social Conquest of Earth' (2012) et Nowak and Highfield 'SuperCooperators' (2012).' Contrairement à Nowak, Gintis ne semble pas être motivé par le fanatisme religieux, mais par le fort désir de générer une alternative aux sombres réalités de la nature humaine, facilitée par le manque (quasi universel) de compréhension de la biologie humaine fondamentale et le slateisme vierge des scientifiques comportementaux, d’autres universitaires et du grand public. Gintis attaque à juste titre (comme il l’a fait à maintes reprises) les économistes, les sociologues et d’autres scientifiques du comportement pour ne pas avoir un cadre cohérent pour décrire le comportement. Bien sûr, le cadre nécessaire pour comprendre le comportement est évolutif. Malheureusement, il ne parvient pas à en fournir un lui-même (selon ses nombreux critiques et je suis d’accord), et la tentative de greffer le cadavre pourri de la sélection de groupe sur toutes les théories économiques et psychologiques qu’il a généré dans ses décennies de travail, n’a fait qu’invalider tout son projet. Bien que Gintis fasse un vaillant effort pour comprendre et expliquer la génétique, comme Wilson et Nowak, il est loin d’être un expert, et comme eux, le calcul l’aveugle juste aux impossibilités biologiques et bien sûr c’est la norme en science. Comme Wittgenstein l’a noté sur la première page de la culture et de la valeur « Il n’y a pas de dénomination religieuse dans laquelle l’utilisation abusive des expressions métaphysiques a été responsable de tant de péchés qu’il l’a en mathématiques. » Il a toujours été clair que un gène qui provoque un comportement qui diminue sa propre fréquence ne peut pas persister, mais c’est le cœur de la notion de sélection de groupe. En outre, il a été bien connu et souvent démontré que la sélection de groupe réduit juste à la condition physique inclusive (sélection de parents), qui, comme Dawkins l’a noté, est juste un autre nom pour l’évolution par sélection naturelle. Comme Wilson, Gintis a travaillé dans cette arène pendant environ 50 ans et n’a toujours pas compris, mais après le scandale a éclaté, il ne m’a fallu que 3 jours pour trouver, lire et comprendre le travail professionnel le plus pertinent, comme détaillé dans mon article. Il est ahurissant de se rendre compte que Gintis et Wilson n’ont pas été en mesure d’y parvenir en près d’un demi-siècle. Je discute des erreurs de sélection de groupe et de phénoménologie qui sont la norme dans le milieu universitaire comme des cas spéciaux de l’échec quasi universel de comprendre la nature humaine qui détruisent l’Amérique et le monde. Ceux qui souhaitent un cadre complet à jour pour le comportement humain de la vue moderne de deux systemes peuvent consulter mon livre 'The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle' 2nd ed (2019). Ceux qui s’intéressent à plus de mes écrits peuvent voir «Talking Monkeys --Philosophie, Psychologie, Science, Religion et Politique sur une planète condamnée --Articles et revues 2006-2019 3e ed (2019) et Suicidal Utopian Delusions in the 21st Century 4th ed (2020) et autres. (shrink)

CAT4 is proposed as a general method for representing information, enabling a powerful programming method for large-scale information systems. It enables generalised machine learning, software automation and novel AI capabilities. This is Part 3 of a five-part introduction. The focus here is on explaining the semantic model for CAT4. Points in CAT4 graphs represent facts. We introduce all the formal (data) elements used in the classic semantic model: sense or intension (1st and 2nd joins), reference (3rd join), functions (4th join), (...) time and truth (logical fields), and symbolic content (name/value fields). Concepts are introduced through examples alternating with theoretical discussion. Some concepts are assumed from Part 1 and 2, but key ideas are re-introduced. The purpose is to explain the CAT4 interpretation, and why the data structure and CAT4 axioms have been chosen: to make the semantic model consistent and complete. We start with methods to translate information from database tables into graph DBs and into CAT4. We conclude with a method for translating natural language into CAT4. We conclude with a comparison of the system with an advanced semantic logic, the hyper-intensional logic TIL, which also aims to translate NL into a logical calculus. The CAT4 Natural Language Translator is discussed in further detail in Part 4, when we introduce functions more formally. Part 5 discusses software design considerations. (shrink)

This collection of articles was written over the last 10 years and edited them to bring them up to date (2017). All the articles are about human behavior (as are all articles by anyone about anything), and so about the limitations of having a recent monkey ancestry (8 million years or much less depending on viewpoint) and manifest words and deeds within the framework of our innate psychology as presented in the table of intentionality. As famous evolutionist Richard Leakey says, (...) it is critical to keep in mind not that we evolved from apes, but that in every important way, we are apes. If everyone was given a real understanding of this (i.e., of human ecology and psychology to actually give them some control over themselves), maybe civilization would have a chance. As things are however the leaders of society have no more grasp of things than their constituents and so collapse into anarchy is inevitable. -/- It is critical to understand why we behave as we do and so the first section presents articles that try to describe (not explain as Wittgenstein insisted) behavior. Section one starts with a brief review of the logical structure of rationality which provides some heuristics for the description of language (mind) and gives some suggestions as to how this relates to the evolution of social behavior. This centers around the two writers I have found the most important in this regard, Ludwig Wittgenstein and John Searle, whose ideas I combine and extend within the dual system (two systems of thought) framework that has proven so useful in recent thinking and reasoning research. As I note, there is in my view essentially complete overlap between philosophy, in the strict sense of the enduring questions that concern the academic discipline, and the descriptive psychology of higher order thought (behavior). Once one has grasped Wittgenstein’s insight that there is only the issue of how the language game is to be played, one determines the Conditions of Satisfaction (what makes a statement true or satisfied etc.) and that is the end of the discussion. -/- Since philosophical problems are the result of our innate psychology, or as Wittgenstein put it, due to the lack of perspicuity of language, they run throughout human discourse, so there is endless need for philosophical analysis, not only in the ‘human sciences’ of philosophy, sociology, anthropology, political science, psychology, history, literature, religion, etc., but in the ‘hard sciences’ of physics, mathematics, and biology. It is universal to mix the language game questions with the real scientific ones as to what the empirical facts are. Scientism is ever present and the master has laid it before us long ago, i.e., Wittgenstein (hereafter W) beginning with the Blue and Brown Books in the early 1930’s. -/- "Philosophers constantly see the method of science before their eyes and are irresistibly tempted to ask and answer questions in the way science does. This tendency is the real source of metaphysics and leads the philosopher into complete darkness." (BBB p18) -/- The key to everything about us is biology, and it is obliviousness to it that leads millions of smart educated people like Obama, Chomsky, Clinton and the Pope to espouse suicidal utopian ideals that inexorably lead straight to Hell On Earth. As W noted, it is what is always before our eyes that is the hardest to see. We live in the world of conscious deliberative linguistic System 2, but it is unconscious, automatic reflexive System 1 that rules. This is the source of the universal blindness described by Searle’s The Phenomenological Illusion (TPI), Pinker’s Blank Slate and Tooby and Cosmides’ Standard Social Science Model. -/- The astute may wonder why we cannot see System 1 at work, but it is clearly counterproductive for an animal to be thinking about or second guessing every action, and in any case there is no time for the slow, massively integrated System 2 to be involved in the constant stream of split second ‘decisions’ we must make. As W noted, our ‘thoughts’ (T1 or the ‘thoughts’ of System 1) must lead directly to actions. -/- It is my contention that the table of intentionality (rationality, mind, thought, language, personality etc.) that features prominently here describes more or less accurately, or at least serves as an heuristic for, how we think and behave, and so it encompasses not merely philosophy and psychology, but everything else (history, literature, mathematics, politics etc.). Note especially that intentionality and rationality as I (along with Searle, Wittgenstein and others) view it, includes both conscious deliberative System 2 and unconscious automated System 1 actions or reflexes. -/- Thus all the articles, like all behavior, are intimately connected if one knows how to look at them. As I note, The Phenomenological Illusion (oblivion to our automated System 1) is universal and extends not merely throughout philosophy but throughout life. I am sure that Chomsky, Obama, Zuckerberg and the Pope would be incredulous if told that they suffer from the same problem as Hegel, Husserl and Heidegger, (or that that they differ only in degree from drug and sex addicts in being motivated by stimulation of their frontal cortices by the delivery of dopamine via the ventral tegmentum and the nucleus accumbens) but it’s clearly true. While the phenomenologists only wasted a lot of people’s time, they are wasting the earth and their descendant’s future. Section one continues with other views of behavior which my reviews attempt to correct and put in context with minimal theory. -/- The next section describes the digital delusions which confuse the language games of System 2 with the automatisms of System one, and so cannot distinguish biological machines (i.e., people) from other kinds of machines (i.e., computers). The ‘reductionist’ claim is that one can ‘explain’ behavior at a ‘lower’ level, but what actually happens is that one does not explain human behavior but a ‘stand in’ for it. Hence the title of Searle’s classic review of Dennett’s book (“Consciousness Explained”)— “Consciousness Explained Away”. In most contexts ‘reduction’ of higher level emergent behavior to brain functions, biochemistry, or physics is incoherent. Even for chemistry or physics the path is blocked by chaos and uncertainty. Anything can be ‘represented’ by equations, but when they ‘represent’ higher order behavior, it is not clear what the ‘results’ mean. Reductionist metaphysics is a joke but most scientists and philosophers lack the appropriate sense of humor. -/- Another hi-tech delusion is that the we will be saved from the pure evil (selfishness) of System 1 by computers/AI/robotics/ nanotech/genetic engineering created by System 2. The No Free Lunch principal tells us there will be serious and possibly fatal consequences. The adventurous may regard this principle as a higher order emergent expression of the Second Law of Thermodynamics. -/- The last section describes The One Big Happy Family Delusion , i.e., that we are selected for cooperation with everyone and that the euphonious ideals of Democracy, Diversity and Equality will lead us into utopia. Again the No Free Lunch Principle ought to warn us it cannot be true, and we see throughout history and all over the contemporary world, that without strict controls, selfishness and stupidity gain the upper hand and soon destroy any nation that embraces it. In addition, the monkey mind steeply discounts the future, and so we sell our descendant’s heritage for temporary comforts greatly exacerbating the problems. -/- I describe versions of this delusion (i.e., that we are basically ‘friendly’ if just given a chance) as it appears in some recent books on sociology/biology/economics. I end with an essay on the great tragedy playing out in America and the world, which can be seen as a direct result of our evolved psychology manifested as the inexorable machinations of System 1. Our evolved psychology, eminently adaptive and eugenic on the plains of Africa ca. 50,000 years ago, when many of our ancestors left Africa, to ca. 6 million years ago, when we split from chimpanzees (i.e., in the EEA or Environment of Evolutionary Adaptation), but now maladaptive and dysgenic and the source of our Suicidal Utopian Delusions. So, like all discussions of behavior, this book is about evolutionary strategies, selfish genes and inclusive fitness. (shrink)

This collection of articles was written over the last 10 years and edited to bring them up to date (2017). The copyright page has the date of the edition and new editions will be noted there as I edit old articles or add new ones. All the articles are about human behavior (as are all articles by anyone about anything), and so about the limitations of having a recent monkey ancestry (8 million years or much less depending on viewpoint) and (...) manifest words and deeds within the framework of our innate psychology as presented in the table of intentionality. As famous evolutionist Richard Leakey says, it is critical to keep in mind not that we evolved from apes, but that in every important way, we are apes. If everyone was given a real understanding of this (i.e., of human ecology and psychology to actually give them some control over themselves), maybe civilization would have a chance. As things are however the leaders of society have no more grasp of things than their constituents and so collapse into anarchy is inevitable. The first group of articles attempts to give some insight into how we behave that is reasonably free of the theoretical delusions that are universal. In the next group, I show how these insights apply by reviewing some books in philosophy and psychology. Next I review books on science and religion and finally provide reviews and articles showing how understanding of both science and philosophy gives insight into the tragic delusions destroying the world. People believe that society can be saved by science, religion and politics, so I provide some suggestions as to why this is unlikely via short articles and reviews of recent books by well-known writers. It is critical to understand why we behave as we do and so the first section presents articles that try to describe (not explain as Wittgenstein insisted) behavior. I start with a brief review of the logical structure of rationality, which provides some heuristics for the description of language (mind, rationality, personality) and gives some suggestions as to how this relates to the evolution of social behavior. This centers around the two writers I have found the most important in this regard, Ludwig Wittgenstein and John Searle, whose ideas I combine and extend within the dual system (two ii systems of thought) framework that has proven so useful in recent thinking and reasoning research. As I note, there is in my view essentially complete overlap between philosophy, in the strict sense of the enduring questions that concern the academic discipline, and the descriptive psychology of higher order thought (behavior). Once one has grasped Wittgenstein’s insight that there is only the issue of how the language game is to be played, one determines the Conditions of Satisfaction (what makes a statement true or satisfied etc.) and that is the end of the discussion. Since philosophical problems are the result of our innate psychology, or as Wittgenstein put it, due to the lack of perspicuity of language, they run throughout human discourse and behavior, so there is endless need for philosophical analysis, not only in the ‘human sciences’ of philosophy, sociology, anthropology, political science, psychology, history, literature, religion, etc., but in the ‘hard sciences’ of physics, mathematics, and biology. It is universal to mix the language game questions with the real scientific ones as to what the empirical facts are. Scientism is ever present and the master has laid it before us long ago, i.e., Wittgenstein (hereafter W) beginning with the Blue and Brown Books in the early 1930’s. "Philosophers constantly see the method of science before their eyes and are irresistibly tempted to ask and answer questions in the way science does. This tendency is the real source of metaphysics and leads the philosopher into complete darkness." (BBB p18) The key to everything about us is biology, and it is obliviousness to it that leads millions of smart educated people like Obama, Chomsky, Clinton and the Pope to espouse suicidal utopian ideals that inexorably lead straight to Hell on Earth. As W noted, it is what is always before our eyes that is the hardest to see. We live in the world of conscious deliberative linguistic System 2, but it is unconscious, automatic reflexive System 1 that rules. This is the source of the universal blindness described by Searle’s The Phenomenological Illusion (TPI), Pinker’s Blank Slate and Tooby and Cosmides’ Standard Social Science Model. The astute may wonder why we cannot see System 1 at work, but it is clearly counterproductive for an animal to be thinking about or second guessing every action, and in any case, there is no time for the slow, massively integrated System 2 to be involved in the constant stream of split second ‘decisions’ we must make. As W noted, our ‘thoughts’ (T1 or the ‘thoughts’ of System 1) must lead directly to actions. iii It is my contention that the table of intentionality (rationality, mind, thought, language, personality etc.) that features prominently here describes more or less accurately, or at least serves as an heuristic for, how we think and behave, and so it encompasses not merely philosophy and psychology, but everything else (history, literature, mathematics, politics etc.). Note especially that intentionality and rationality as I (along with Searle, Wittgenstein and others) view it, includes both conscious deliberative System 2 and unconscious automated System 1 actions or reflexes. Thus, all the articles, like all behavior, are intimately connected if one knows how to look at them. As I note, The Phenomenological Illusion (oblivion to our automated System 1) is universal and extends not merely throughout philosophy but throughout life. I am sure that Chomsky, Obama, Zuckerberg and the Pope would be incredulous if told that they suffer from the same problem as Hegel, Husserl and Heidegger, (or that that they differ only in degree from drug and sex addicts in being motivated by stimulation of their frontal cortices by the delivery of dopamine (and over 100 other chemicals) via the ventral tegmentum and the nucleus accumbens), but it’s clearly true. While the phenomenologists only wasted a lot of people’s time, they are wasting the earth and their descendant’s futures. Many of the articles describe the ‘digital delusions’, which confuse the language games of System 2 with the automatisms of System 1, and so cannot distinguish biological machines (i.e., people) from other kinds of machines (i.e., computers). The ‘reductionist’ claim is that one can ‘explain’ behavior at a ‘lower’ level, but what actually happens is that one does not explain human behavior but a ‘stand in’ for it. Hence the title of Searle’s classic review of Dennett’s book (“Consciousness Explained”)— “Consciousness Explained Away”. In most contexts ‘reduction’ of higher level emergent behavior to brain functions, biochemistry, or physics is incoherent. Also for ‘reduction’ of chemistry or physics, the path is blocked by chaos and uncertainty. Anything can be ‘represented’ by equations, but when they ‘represent’ higher order behavior, it is not clear (and cannot be made clear) what the ‘results’ mean. Reductionist metaphysics is a joke, but most scientists and philosophers lack the appropriate sense of humor. Other digital delusions are that we will be saved from the pure evil (selfishness) of System 1 by computers/AI/robotics/ nanotech/genetic engineering created by System 2. The No Free Lunch principal tells us there will be serious and possibly fatal consequences. The adventurous may regard this principle as a higher order emergent expression of the Second Law of Thermodynamics. Hi-tech enthusiasts hugely underestimate the problems iv resulting from unrestrained motherhood, and of course it is neither profitable nor politically correct (and now with third world supremacism dominant, not even possible) to be honest about it. The last section describes various versions of the ‘altruism delusion’ that we are selected for cooperation, and that the euphonious ideals of Democracy, Diversity and Equality will lead us into utopia, if we just manage things correctly (the possibility of politics). Again, the No Free Lunch Principle ought to warn us it cannot be true, and we see throughout history and all over the contemporary world, that without strict controls, selfishness and stupidity gain the upper hand and soon destroy any nation that embraces it. In addition, the monkey mind steeply discounts the future, and so we cooperate in selling our descendant’s heritage for temporary comforts, greatly exacerbating the problems. I describe versions of this delusion (i.e., that we are basically ‘friendly’ if just given a chance) as it appears in some recent books on sociology/biology/economics. I end with an essay on the great tragedy playing out in America and the world, which can be seen as a direct result of our evolved psychology manifested as the inexorable machinations of System 1. Our psychology, eminently adaptive and eugenic on the plains of Africa from ca. 6 million years ago, when we split from chimpanzees, to ca. 50,000 years ago, when many of our ancestors left Africa (i.e., in the EEA or Environment of Evolutionary Adaptation), is now maladaptive and dysgenic and the source of our Suicidal Utopian Delusions. So, like all discussions of behavior (philosophy, psychology, sociology, biology, anthropology, politics, law, literature, history, economics, soccer strategies, business meetings, etc.), this book is about evolutionary strategies, selfish genes and inclusive fitness (kin selection). Many accept the delusion that we are selected for cooperation with people generally (group selection or altruism) and not just our immediate relatives (kin selection or inclusive fitness), so I spend some time in the essays of the last section demolishing this fantasy. One thing rarely mentioned by the group selectionists is the fact that, even were ‘group selection’ possible, selfishness is at least as likely (probably far more likely in most contexts) to be group selected for as altruism. Just try to find examples of true altruism in nature –the fact that we can’t (which we know is not possible if we understand evolution) tells us that its apparent presence in humans is an artefact of modern life concealing the facts, and that it can no more be selected for than the tendency to suicide (which in fact it is). One does not really need science or mathematics to grasp this – it is crushingly obvious that an v organism cannot be selected for behavior that decreases the frequency of its own genes in the next generation. One might also benefit from considering a phenomenon never (in my experience) mentioned by group selectionists -- cancer. No group has as much in common as the (originally) genetically identical cells in our own bodies-a 100 trillion cell clone-- but we are all born with thousands and perhaps millions of cells that have already taken the first step on the path to cancer and generate millions to billions of cancer cells in our life. If we did not die of other things first, we (and perhaps all multicellular organisms) would all die of cancer. Only a massive and hugely complex mechanism built into our genome that represses or derepresses trillions of genes in trillions of cells, and kills and creates billions of cells a second, keeps the majority of us alive long enough to reproduce. One might take this to imply that a just, democratic and enduring society for any kind of entity on any planet in any universe is only a dream, and that no being or power could make it otherwise. It is not only ‘the laws’ of physics that are universal and inescapable, or perhaps we should say that inclusive fitness is a law of physics. The great mystic Osho said that the separation of God and Heaven from Earth and Humankind was the most evil idea that ever entered the Human mind. In the 20th century an even more evil notion arose—that humans are born with rights, rather than having to earn privileges. Thus, every day the population increases by 200,000, who must be provided with resources to grow and space to live, and who soon produce another 200,000 etc. And one almost never hears it noted that what they receive must be taken from those already alive. Their lives diminish those already here in both major obvious and countless subtle ways. Every new baby destroys the earth from the moment of conception. There cannot be human rights without human wrongs. It cannot be more obvious, but one will never see the streets full of protesters against motherhood. America and the world are in the process of collapse from excessive population growth, most of it for the last century and now all of it due to 3rd world people. Consumption of resources and the addition of 4 billion more ca. 2100 will collapse industrial civilization and bring about starvation, disease, violence and war on a staggering scale. The earth loses about 2% of it’s topsoil every year, so as it nears 2100, most of it’s food growing capacity will be gone. Billions will die and nuclear war is all but certain. In America, this is being hugely accelerated by massive immigration and immigrant reproduction, combined with abuses made possible by democracy. Depraved human nature inexorably turns the dream of democracy and diversity into a vi nightmare of crime and poverty. China will continue to overwhelm America and the world, as long as it maintains the dictatorship which limits selfishness. The root cause of collapse is the inability of our innate psychology to adapt to the modern world, which leads people to treat unrelated persons as though they had common interests. This, plus ignorance of basic biology and psychology, leads to the social engineering delusions of the partially educated who control democratic societies. Few understand that if you help one person you harm someone else—there is no free lunch and every single item anyone consumes destroys the earth beyond repair. Consequently, social policies everywhere are unsustainable and one by one all societies without stringent controls on selfishness will collapse into anarchy or dictatorship. Without dramatic and immediate changes, there is no hope for preventing the collapse of America, or any country that follows a democratic system. The popular notions supported by the Democratic Party and Third World Supremacists are that Democracy, Diversity, Equality and Social Justice will produce a Utopia in America and the world, but it is clear as crystal that they unavoidably foster selfishness and divisiveness and are producing collapse. Hence my concluding essay “Suicide by Democracy”. The most basic facts, almost never mentioned, are that there are not enough resources in America or the world to lift a significant percentage of the poor out of poverty and keep them there. Even the attempt to do this is already bankrupting America and destroying the world. The earth’s capacity to produce food decreases daily, as does our genetic quality. And now, as always, by far the greatest enemy of the poor is other poor and not the rich. -/- My writings are available as paperbacks and Kindles on Amazon. -/- Talking Monkeys: Philosophy, Psychology, Science, Religion and Politics on a Doomed Planet - Articles and Reviews 2006-2017 (2017) ASIN B071HVC7YP. -/- The Logical Structure of Philosophy, Psychology, Mind and Language in Ludwig Wittgenstein and John Searle--Articles and Reviews 2006-2016 (2017) ASIN B071P1RP1B. -/- Suicidal Utopian Delusions in the 21st century: Philosophy, Human Nature and the Collapse of Civilization - Articles and Reviews 2006-2017 (2017) 2nd printing with corrections (Feb 2018) ASIN B0711R5LGX -/- Suicide by Democracy: an Obituary for America and the World (2018) ASIN B07CQVWV9C -/- . (shrink)

In this paper, I'm questing the human insecurity and loneliness in a world struggling with a newfound understanding of mortality, change and technological intervention. I took Kazu Ishiguro's novel "Klara and the Sun" as it contains certain themes that depict not only the idea of struggling man in the new age, but also how the digital age is disrupting the human feelings. It reflects the patterns of the changing world while exploring the true meaning of love. Ishiguro has used a (...) science fictional lens to deeply explain how humans interact and connect and has also tried to analyze the loneliness, isolation, and emotional behavior of humans. Mentioning that, the writer has also shed light on different layers of the society and has beautifully penned the lives of people in different segments of the society. I suppose that we are ironically ill prepared for the new psychological world we are creating. Making robots which are emotionally powerful as Klara; while at the same time, hearing statements such as “technology is just a tool” that deny the power of our creations both on us as individuals and on our culture. I am concerned here with the ways technologies change our human identities and interrelations. Are the designers of these robots regarding them as just tools? Then why their users experience them as carriers of meanings and emotions? I am raising a controversial question here: is just a robot capable of exchanging emotion and love? Have humans been drained completely from the ability of reciprocating compassion and understanding? Now the point is not what computers can do or what computers will be like in the future, but rather, what we will be like? What we need to ask is not whether robots will be able to love us but rather why we might love robots. (shrink)