Programming artificial intelligence to make fairness assessments of texts through top-down rules, bottom-up training, or hybrid approaches, has presented the challenge of defining cross-cultural fairness. In this paper a simple method is presented which uses vectors to discover if a verb is unfair or fair. It uses already existing relational social ontologies inherent in Word Embeddings and thus requires no training. The plausibility of the approach rests on two premises. That individuals consider fair acts those that they would (...) be willing to accept if done to themselves. Secondly, that such a construal is ontologically reflected in Word Embeddings, by virtue of their ability to reflect the dimensions of such a perception. These dimensions being: responsibility vs. irresponsibility, gain vs. loss, reward vs. sanction, joy vs. pain, all as a single vector. The paper finds it possible to quantify and qualify a verb as fair or unfair by calculating the cosine similarity of the said verb’s embedding vector against FairVec—which represents the above dimensions. We apply this to Glove and Word2Vec embeddings. Testing on a list of verbs produces an F1 score of 95.7, which is improved to 97.0. Lastly, a demonstration of the method’s applicability to sentence measurement is carried out. (shrink)

Plagiarism detection is the process of finding similarities on electronic based documents. Recently, this process is highly required because of the large number of available documents on the internet and the ability to copy and paste the text of relevant documents with simply Control+C and Control+V commands. The proposed solution is to investigate and develop an easy, fast, and multi-language support plagiarism detector with the easy of one click to detect the document plagiarism. This process will be done with the (...) support of intelligent system that can learn, change and adapt to the input document and make a cross-fast search for the content on the local repository and the online repository and link the content of the file with the matching content everywhere found. Furthermore, the supported document type that we will use is word, text and in some cases, the pdf files –where is the text can be extracting from them- and this made possible by using the DLL file from Word application that Microsoft provided on OS. The using of DLL will let us to not constrain on how to get the text from files; and will help us to apply the file on our Delphi project and walk throw our methodology and read the file word by word to grantee the best working scenarios for the calculation. In the result, this process will help in the uprising the documents quality and enhance the writer experience related to his work and will save the copyrights for the official writer of the documents by providing a new alternative tool for plagiarism detection problem for easy and fast use to the concerned Institutions for free. (shrink)

Is there a field of social intelligence? Many various disciplines ap-proach the subject and it may only seem natural to suppose that different fields of study aim at explaining different phenomena; in other words, there is no spe-cial field of study of social intelligence. In this paper, I argue for an opposite claim. Namely, there is a way to integrate research on social intelligence, as long as one accepts the mechanistic account to explanation. Mechanistic inte-gration of different (...) explanations, however, comes at a cost: mechanism requires explanatory models to be fairly complete and realistic, and this does not seem to be the case for many models concerning social intelligence, especially models of economical behavior. Such models need either be made more realistic, or they would not count as contributing to the same field. I stress that the focus on integration does not lead to ruthless reductionism; on the contrary, mechanistic explanations are best understood as explanatorily pluralistic. (shrink)

The following looks at several problems and questions concerning our understanding of the word ‘intelligence’ and the phrase ‘artificial intelligence’ (AI), including: how to define these terms; whether intelligence can exist in AI; if artificial intelligence in AI is identifiable; and what (if any) kind of intelligence is important to AI.

THE WORD IN AFRICAN ONTOLOGY Socrates Ebo, PhD ABSTRACT The word in African ontology is more than mere expression of sounds. It is a being which is intra-mental and extra-mental. It is a creation of human mind and the human lips. But it is also an independent entity with enormous causal powers in the African universe of forces. It is an art as well as a means of communication. It is the embodiment of the history of the African (...) community. Embedded in the word, is the community’s ethics. Yet, the word is also a series of sounds which can be learnt and repeated. It can be uttered by anyone yet not everyone can put it to every use. The word can be profound in a context and meaningless in another context. The same word that is commonplace in common speech can be a causal force in a coded ritual. Yet, it is the word: ubiquitous and cryptic, mystic and plebeian; sacred and profane, artistic, yet plain bland on the lips of many. -/- . (shrink)

Today, humanity is trying to turn the artificial intelligence that it produces into natural intelligence. Although this effort is technologically exciting, it often raises ethical concerns. Therefore, the intellectual ability of artificial intelligence will always bring new questions. Although there have been significant developments in the consciousness of artificial intelligence, the issue of consciousness must be fully explained in order to complete this development. When consciousness is fully understood by human beings, the subject of “free will” (...) will be explained. Therefore, human consciousness should be re-examined and perceptions that we are not aware of from a philosophical point of view should be examined. The relevance of the perceptions we do not realize to the unconscious, and finally the impact on consciousness goes back to the sources of philosophy. Hegel, in particular, we may find information about these perceptions unusual. Consciousness cannot be separated from the unconscious. Consciousness should be rethought in the context of memory models and unconscious in this sense. Seeing how Hegel's human cognition acts, especially in Hegel's perception, raises the unconscious question again. If we expect something different from an artificial intelligence, we need to rethink the artificial cognitive model. This paper argues that without the unconscious component of artificial intelligence, it cannot approach human cognition. -/- Key Words: Artificial Intelligence, Creativity, Memory, perception . (shrink)

Advances in artificial intelligence and robotics increasingly call into question the distinction between simulation and reality of the human person. On the one hand, they suggest a computeromorphic understanding of human intelligence, and on the other, an anthropomorphization of AI systems. In other words: We increasingly conceive of ourselves in the image of our machines, while conversely we elevate our machines to new subjects. So what distinguishes human intelligence from artificial intelligence? The essay sets out a (...) number of criteria for this. (shrink)

Machine-based automation has long been a key factor in the modern era. However, lately, many people have been shocked by artificial intelligence (AI) applications, such as ChatGPT (OpenAI), that can perform tasks previously thought to be human-exclusive. With recent advances in natural language processing (NLP) technologies, AI can generate written content that is similar to human-made products, and this ability has a variety of applications. As the technology of large language models continues to progress by making use of colossal (...) reservoirs of digital information, AI is becoming more capable of recognizing patterns and associations within given contexts, making it especially helpful in assisting with various professional writing tasks [1]. In this paper, we will discuss several key points regarding the current state and future of AI in academia. Furthermore, since in certain aspects, acts can speak louder than words, we will also present some of our hands-on experiences of working with ChatGPT. (shrink)

We intend to demonstrate that human perception is better understood when thought from the perspective of Aristotelian-Thomistic Philosophy. After concluding for its existence, Descartes, in the 17th century, concludes that there are ideas that we all possess, such as the idea of “perfection”. This idea cannot result from experience, and it’s God the source of the idea of perfection in us, and the one who guarantees the existence not only of external reality but also of our own correct reasoning. Very (...) far from the God of Thomas Aquinas who is Alpha and Omega, Descartes' god is a god situated and secondary between the subject and reality which, in turn, is guaranteed by God, in a vicious circle between God and the subject. It’s a subjective or logical God, such as Kant's, but not a real God. Reality is, therefore, subjectively intelligible and truth objectively achieved, and the principle of causality is, in this way, subjectively valid. Reality is intelligible not because it’s provided by intelligible forms — by intelligible (and not only sensitive matter) that we, in fact, perceive — but because it is a reality presented by extension that is nothing more than a reflection of the logical-mathematical universe, thought by Modernity and which, with this thinker, is innate to the subject. This is a pure and finished reason. The extensive reality is purged of subjective elements; it is logical-mathematical (therefore, it is thought). It’s a kind of idealism and not realism and which results in a physicalist and materialist view of reality. Materialism, called physicalism in mainstream culture, consists of the idea that there is a world out there that is not experiential. It is material, but the way the word is used here has a strict conceptual definition. Matter is something that can be specifically described by numbers. It's a world without qualities. The world is purely quantitative and, because we are part of this world, we are also quantitative. The entire world of qualities that, deep down, constitutes our reality, is generated, according to materialism, in a not very well specified way and by a brain inside our head. The world outside has no flavors, colors, smells or sounds. We cannot see it because it has no qualities. The best we can do is imagine it as some kind of set of mathematical equations floating in the void. (shrink)

This essay attempts to render intelligible (you will pardon the pun) Kant's peculiar claims about the intelligible at A 539/B 567 – A 541/B 569 in the first Critique, in which he asserts that (1) ... [t]his acting subject would now, in conformity with his intelligible character, stand under no temporal conditions, because time is only a condition of appearances, but not of things in themselves. In him no action would begin or cease. Consequently it would not be subjected to (...) the law of all determination of everything alterable in time: everything which happens finds its causes in the appearances (of the previous state). In a word, his causality, in so far as it is intellectual, would not stand in the series of empirical conditions which the event in the world of sense makes necessary. (A 539/B 567 - A 540/B 568) ... in so far as it is noumenon, nothing happens in him, no alteration which requires dynamical determination in time .... One would quite rightly say of him, that it of itself begins his effects in the world of sense, without the action's beginning in him himself ... (A 541/B 569)2 What does Kant mean by claiming that intellectual causality is such that in one's intelligible character as noumenal agent, actions neither begin nor end, nor does anything happen in one? Do these claims have meaning merely by contrast to the familiar experience of empirical causality, in which actions have discrete durations and events occur? Is he merely inferring from this familiar sensible experience an ontologically and metaphysically independent, epistemically inaccessible "world," which can be conceptualized only through the negation of those terms and propositions that characterize this one? Or is he offering a.. (shrink)

A short essay that discusses whether it is possible for AI to do philosophy in its true sense of the word.

Endowing artificial systems with explanatory capacities about the reasons guiding their decisions, represents a crucial challenge and research objective in the current fields of Artificial Intelligence (AI) and Computational Cognitive Science [Langley et al., 2017]. Current mainstream AI systems, in fact, despite the enormous progresses reached in specific tasks, mostly fail to provide a transparent account of the reasons determining their behavior (both in cases of a successful or unsuccessful output). This is due to the fact that the classical (...) problem of opacity in artificial neural networks (ANNs) explodes with the adoption of current Deep Learning techniques [LeCun, Bengio, Hinton, 2015]. In this paper we argue that the explanatory deficit of such techniques represents an important problem, that limits their adoption in the cognitive modelling and computational cognitive science arena. In particular we will show how the current attempts of providing explanations of the deep nets behaviour (see e.g. [Ritter et al. 2017] are not satisfactory. As a possibile way out to this problem, we present two different research strategies. The first strategy aims at dealing with the opacity problem by providing a more abstract interpretation of neural mechanisms and representations. This approach is adopted, for example, by the biologically inspired SPAUN architecture [Eliasmith et al., 2012] and by other proposals suggesting, for example, the interpretation of neural networks in terms of the Conceptual Spaces framework [Gärdenfors 2000, Lieto, Chella and Frixione, 2017]. All such proposals presuppose that the neural level of representation can be considered somehow irrelevant for attacking the problem of explanation [Lieto, Lebiere and Oltramari, 2017]. In our opinion, pursuing this research direction can still preserve the use of deep learning techniques in artificial cognitive models provided that novel and additional results in terms of “transparency” are obtained. The second strategy is somehow at odds with respect to the previous one and tries to address the explanatory issue by avoiding to directly solve the “opacity” problem. In this case, the idea is that one of resorting to pre-compiled plausible explanatory models of the word used in combination with deep-nets (see e.g. [Augello et al. 2017]). We argue that this research agenda, even if does not directly fits the explanatory needs of Computational Cognitive Science, can still be useful to provide results in the area of applied AI aiming at shedding light on the models of interaction between low level and high level tasks (e.g. between perceptual categorization and explanantion) in artificial systems. (shrink)

The use of machine translation as artificial intelligence (AI) keeps increasing and the world’s most popular a translation tool is Google Translate (GT). This tool is not merely used for the benefits of learning and obtaining information from foreign languages through translation but has also been used as a medium of interaction and communication in hospitals, airports and shopping centres. This paper aims to explore machine translation accuracy in translating French-Indonesian culinary texts (recipes). The samples of culinary text were (...) taken from the internet. The research results show that the semiotic model of machine translation in GT is the translation from the signifier (forms) of the source language to the signifier (forms) of the target language by emphasizing the equivalence of the concept (signified) of the source language and the target language. GT aids to translate the existing French-Indonesian culinary text concepts through words, phrases and sentences. A problem encountered in machine translation for culinary texts is a cultural equivalence. GT machine translation cannot accurately identify the cultural context of the source language and the target language, so the results are in the form of a literal translation. However, the accuracy of GT can be improved by refining the translation of cultural equivalents through words, phrases and sentences from one language to another. (shrink)

The mythical bronze creature Talos (Greek: Τάλως) was worshiped initially as the god of light or the sun in the Hellenic Island of Crete. He is supposed to have lived in the peak Kouloukona of the Tallaia Mountains in the Gerontospelio cave. His relation towards bronze and fire and his continuous voyage circling the island of Crete most probably introduces the concept of the change of the four seasons. The sun was considered in the area of the South-East Mediterranean nations (...) as just judge, a guardian who monitors and judges from above all the actions of the commoners, a controller for the faithful application of laws in Crete [1]. Hesychios in his Lexicon notes that talos means sun and that the name Tallaios was initially attributed to Zeus [2]. The birth of the Olympian gods forged a new Pantheon and nomenclature forcing some of the old gods to fell into lower deities. This happened to Talos who soon became a mythical hero [1]. According to Apollodorus, the bronze creature was forged by the magnificent constructor Hephaestus as a gift to the mythical King Minoa to help him guard the island [3]. Although the verb “peritrohazo” (Greek: περιτροχαζω) was used, meaning a movement in a steady orbit (track), some depictions image him as a winged being. To protect the island, he was throwing rocks into unknown ships or in the case of a foreign landing he was burning with fire or with his flamed bronze body the intruders. He was holding copper plates with the laws of the island and his circle allowed him to pass all island sores three times daily [1,4-6]. Plato, speaks of him as a real person, suggesting he was the brother of King Rhadamanthys, thus a son of Zeus [5]. Talos may be considered as the token of the Cretan power, a symbol of technological development in the field of metalworking in prehistoric and Minoan times. An animated, programmed gigantic android to enforce its will. A primitive robot for basic actions having a power source, fire and ichor (Greek: ιχώρ) the sacred fluid in the vessels of the gods. The first manufactured being with his individual intelligence, a primary concept of artificial intelligence (AI) [7]. -/- Homer was the first to introduce the term automata (Greek: αυτόματα), to describe ingenious machines built by the supreme blacksmith god of invention and technology, God of metal and fire, Hephaestus, manufactured devices “acting of one’s own will” as the Hellenic word indicates [8]. Eons later, the humanoid automaton the “Automa cavaliere” (English: Automaton knight) appeared in the court of the nobleman and Duke of Milan Ludovico Maria Sforza. It was the year 1495, when Leonardo da Vinci presented his robotic knight, an innovative construction operated by a series of pulleys and cables, presenting though no individual mind. Although it was manufactured by a highly intelligent polymath, it could only be operated through an outer intelligence [9]. Advancements made during the Fourth Industrial Revolution allowed modern technology to manufacture intelligent machines to aid the field of invasive surgery. One of those most sophisticated devises is the da Vince Surgical Tower. -/- Launched in the setting of the 21st century, the DaVinci System is one of the most commonly employed tools/systems, which has prevailed in the field of robotic-assisted surgery [10]. One could claim that it practically reshaped the concept of surgery, providing doctors with immense capabilities, aiming towards the optimal post-operative outcome. Through visual augmentation, high resolution 3D video, enhanced precision and reduced complication rates [11] the DaVinci Si and the latest DaVinci Xi system have been implemented in a variety of surgeries, including but not limited to general, urologic, gynecologic, thoracic and even cardiac procedures; valve and coronary artery bypass graft operations [12,13]. Da Vinci is cleared globally for cardiosurgery and came in vogue to fulfill the dream of cardiac surgeons to operate in closet chest. It offers in patients the same benefits as those that open chest incision surgery procedures do [14]. -/- The more recent DaVinci Xi model was introduced to counteract commonly known drawbacks of the Si system, such as the inability to simultaneously manipulate the different abdominal quadrants [10]. It consists of four boom mounted robotic arms along with a mobile platform and a master console. The latter with the adaptable intraocular distance, the cushioned headrest, the modifiable arm bars and the flexible finger loops, is meticulously designed to meet the surgeon´s “demands” [12]. Every robotic arm has three degrees of freedom, which combined with the EndoWrist technology to imitate the delicate motion of the surgeon´s hand, acquires an extra seven degrees of freedom. Evidently, the combination of the user-friendly interface, the high-quality 3D intraoperative images, the multiple joints and sensors, as well as the surgeon himself, who can learn to handle the DaVinci Xi Surgical System in a relatively short period of time, has established the model in the surgical armamentarium, paving the way towards a continuously progressive future of minimally invasive and robotic surgery (Figure 1) [12]. -/- History testifies that the nomination of the AI surgical tower as da Vinci was wrongfully given to commemorate a majestic historical figure. It is clear that the mythical creature Talos which was fabricated by the ingenious god Hephaestus was the first true automaton in the line of AI origins. (shrink)

It is known that the Big Bang theory was based on the concept of creation ex nihilo, after ancient Greek philosophers. In this paper, we will make few remark on the concept of creatio ex nihilo (as a commentary to a recent paper by Kalachanis, Athanasios Anastasiou, Ioannis Kostikas, Efstratios Theodossious and Мilan S. Dimitrijevi), as well as two other approaches, i.e. Intelligent Design and Emergence Theory by Clayton/Yong. As continuation of our recent paper to appear in forthcoming issue of (...) J. Asia Mathematika, we argue that beside the above three approaches, a new concept called creatio ex-rotatione offers a resolution to the long standing disputes between beginning and eternity of the Universe. In other words, in this respect we agree with Vaas, i.e. it can be shown: “how a conceptual and perhaps physical solution of the temporal aspect of Immanuel Kant’s „first antinomy of pure reason“ is possible, i.e. how our universe in some respect could have both a beginning and an eternal existence. Therefore, paradoxically, there might have been a time before time or a beginning of time in time.” By the help of computational simulation, we also show how a model of early Universe with rotation can fit this new picture. (shrink)

Against ideas of dualism, logocentrism, anthropocentrism, animism, panpsychism, biocentrism, neurocentrism, foundationalism, computationalism, especially substantialism, reductionism and even physicalism, the author argues that life may be the only non-reductive concept, even the only ontological concept, with which we may explain our consciousness, intelligence and language. Life, as defined in this article, explains but not only human brains, and even not only biological organisms. Still, the mind, also as defined in this article, is the only one it explains. No mind may (...) exist if not be a life or lives, and no life may exist if not be a mind or a part of it. If it is the mind that needs to be explained, it must finally and fundamentally be explained as a life or lives. If the question is about the origin of the mind, a life or lives must be the ultimate answer. In other words, life is the only attribute of mind, and mind also the only attribute of life, and therefore, consciousness, intelligence and language must be the properties of all the living systems, including non-biological living systems. A model of mind is hypothesized based on the analysis of two kinds of lives and their relationship with matter and energy. It may be deduced from this model: 1. All the memories of a living brain are its intelligence. 2. Both consciousness and nonconscious are only meaningless languages used in the communication among lives in an awakened brain. 3. Life is the only meaning of all those memories and languages. Ontologically, life may even be the only meaning of all matter and energy. -/- (A version of this article was published by the Journal of NeuroPhilosophy on 26.10.2022). (shrink)

We propose that, for the purpose of studying theoretical properties of the knowledge of an agent with Artificial General Intelligence (that is, the knowledge of an AGI), a pragmatic way to define such an agent’s knowledge (restricted to the language of Epistemic Arithmetic, or EA) is as follows. We declare an AGI to know an EA-statement φ if and only if that AGI would include φ in the resulting enumeration if that AGI were commanded: “Enumerate all the EA-sentences which (...) you know.” This definition is non-circular because an AGI, being capable of practical English communication, is capable of understanding the everyday English word “know” independently of how any philosopher formally defines knowledge; we elaborate further on the non-circularity of this circular-looking definition. This elegantly solves the problem that different AGIs may have different internal knowledge definitions and yet we want to study knowledge of AGIs in general, without having to study different AGIs separately just because they have separate internal knowledge definitions. Finally, we suggest how this definition of AGI knowledge can be used as a bridge which could allow the AGI research community to import certain abstract results about mechanical knowing agents from mathematical logic. (shrink)

This article explores the enduring mysteries of consciousness and the afterlife, two enigmatic topics that have fascinated humanity for ages. Despite extensive scientific efforts, the existence of an afterlife remains unproven, and understanding consciousness remains a significant challenge. The research introduces new hypotheses through simple experiments with empirical evidence and theoretical foundations. It delves into the complexities of consciousness, its relationship with the brain, and the need for interdisciplinary approaches. Boldly contemplating the probability of a continuous consciousness after death, the (...) study argues that existing evidence strongly supports this idea. In other words, if we do not accept the hypothesis of an afterlife, we may not be able to discuss the experimental results in the context of any alternative theories. Beyond theoretical implications, it envisions practical outcomes, suggesting that insights into these mysteries could enhance human well-being and contribute to a more harmonious world. In summary, this article aims to shed light on age-old questions about consciousness and the afterlife. Through fresh methodologies, it seeks to provide new perspectives that could reshape our understanding of existence and inspire intellectuals to positive individual and societal advancements including psychological well-being and intelligence. -/- . (shrink)

Text-guided image generation models can be prompted to generate images using nonce words adversarially designed to robustly evoke specific visual concepts. Two approaches for such generation are introduced: macaronic prompting, which involves designing cryptic hybrid words by concatenating subword units from different languages; and evocative prompting, which involves designing nonce words whose broad morphological features are similar enough to that of existing words to trigger robust visual associations. The two methods can also be combined to generate images associated with more (...) specific visual concepts. The implications of these techniques for the circumvention of existing approaches to content moderation, and particularly the generation of offensive or harmful images, are discussed. (shrink)

c.4,000 word critical discussion of Fabre's book. Provides an overview of the book plus comments on the themes of (i) loyalty and treason and (ii) the ethics of spying and sex.

Machine learning systems (MLS) that model low-level processes are the cornerstones of current AI systems. These ‘indirect’ learners are good at classifying kinds that are distinguished solely by their manifest physical properties. But the more a kind is a function of spatio-temporally extended properties — words, situation-types, social norms — the less likely an MLS will be able to track it. Systems that can interact with objects at the individual level, on the other hand, and that can sustain this interaction, (...) can learn responses to increasingly abstract properties, including representational ones. This representational capacity, arguably the mark of intelligence, then, is not available to current MLS’s. (shrink)

This chapter addresses the morality of two types of national security electronic surveillance (SIGINT) programs: the analysis of communication “metadata” and dragnet searches for keywords in electronic communication. The chapter develops a standard for assessing coercive government action based on respect for the autonomy of inhabitants of liberal states and argues that both types of SIGINT can potentially meet this standard. That said, the collection of metadata creates opportunities for abuse of power, and so judgments about the trustworthiness and competence (...) of the government engaging in the collection must be made in order to decide whether metadata collection is justified in a particular state. Further, the moral standard proposed has a reflexive element justifying adversary states’ intelligence collection against one another. Therefore, high-tech forms of SIGINT can only be justified at the cost of justifying cruder versions of signals intelligence collection practiced by a state’s less-advanced adversaries. (shrink)

Artificial intelligence(AI) is a subject nurtured by western traditional philosophy and modern science, it studies how to build Intelligent machine system and expands human intelligence. The biggest problem of AI being treated is structural imbalance, which the technology is advanced, while the intelligent generation and AI Ethics are weakened. In the development of Chinese religion, The Book of Changes is not only the representative of primitive religion, but also promoted the birth of Taoism, it played an important role (...) in shaping Chinese Buddhism, and integrating Islam, Catholicism, and Christianity into Chinese religion. The biggest problem of Chinese religion being treated is how to get rid of the backwardness of ancient superstition and clear its position as well as function under the background of globalization and modernization. There are many intersections between AI and The Book of Changes in cognitive science, human intelligence, ethical construction and so on, which provides the possibility for both parties to have a mutual therapeutic dialogue. In a word, the AI's structural imbalance which brings the fragmentation and utilitarian problems can be treated from the intuitive, holistic and dialectical thinking of The Book of Changes. While the Chinese religion that has been deeply shaped by The Book of Changes can obtain prescriptions from the AI discipline system. (shrink)

Since its emergence in the 1960s, Artifcial Intelligence (AI) has grown to conquer many technology products and their felds of application. Machine learning, as a major part of the current AI solutions, can learn from the data and through experience to reach high performance on various tasks. This growing success of AI algorithms has led to a need for interpretability to understand opaque models such as deep neural networks. Various requirements have been raised from diferent domains, together with numerous (...) tools to debug, justify outcomes, and establish the safety, fairness and reliability of the models. This variety of tasks has led to inconsistencies in the terminology with, for instance, terms such as interpretable, explainable and transparent being often used interchangeably in methodology papers. These words, however, convey diferent meanings and are “weighted" diferently across domains, for example in the technical and social sciences. In this paper, we propose an overarching terminology of interpretability of AI systems that can be referred to by the technical developers as much as by the social sciences community to pursue clarity and efciency in the defnition of regulations for ethical and reliable AI development. We show how our taxonomy and defnition of interpretable AI difer from the ones in previous research and how they apply with high versatility to several domains and use cases, proposing a—highly needed—standard for the communication among interdisciplinary areas of AI. (shrink)

In this article, the results of conceptualization of the definition of mind as an object of interdisciplinary applied research are described. The purpose of the theoretical analysis is to generate a methodological discourse suitable for a functional understanding of the mind in the context of the problem of natural language processing as one of the components of developments in the field of artificial intelligence. The conceptual discourse was realized with the help of the author's method of structural-ontological analysis, and (...) developed in the mainstream of the system-methodological tradition of the school of G.P. Shchedrovitsky and intended for descriptive research of subject areas of interdisciplinary objects of scientific study. As a result of the structural and ontological analysis of the super-system, the relevant place and role of the directly studied system (mind) are determined, and its primary process and material are localized and structural and functional connections are described. At the basic level, the mind is conceptualized as an energy process unfolding in a spatio-temporal environment and accompanied by archetypal structuring of neural impulses into images. The genesis of the system is separately analyzed by constructing a structural-ontological matrix that reflects the initial stage of the development of the mind. The primary process is concretized with the help of hetero- and homeostatic dichotomy, and also the most significant features of the consistent transformation of the material of the system and its ascent to verbal morphology are described. The structural-ontological comparison of the functioning of the verbal intelligence with the preverbal level has been carried out. The transformation of neural impulses of needs into words, as verbal units fixing semiotic values is analyzed. Structural-ontological connections that determine the reactive and prospective characteristics of the functioning of the system are disclosed. The position of the chronological primacy of "semiotic readiness" for language with respect to the debut of the latter as an information-sign model of the environment is argued. The hypothesis of domination at the initial stage of the development of the mind of exopsychic functions over endopsychic ones is formulated. The theoretical substantiation of the hypothesis of the inevitability of the ontology of language in the functional understanding of the mind is given, corresponding structural and ontological arguments are given, including those based on the ideas about the information relationship between affects and needs, according to the views of P.V. Simonov. The arguments are presented in favor of the non-alternative methodology of A. Turing in studies of artificial intelligence. (shrink)

Any intelligent discussion of terrorism must demarcate its subject matter, for the term ‘terrorism’ is differently understood and where there is no accord on its meaning there is little chance for agreement on its application or normative status. The best course is to sketch a morally neutral definition that classifies as ‘terrorist’ as many widely-agreed upon cases as possible. Definitions that explicitly render terrorism illegitimate make classification contentious, and it is more informative to base moral assessment on an examination of (...) the case rather than through apriori stipulation. Most writers on the topic agree that terrorism is (i) a deliberate use or threat of violence, (ii) politically-motivated, and (iii) directed against non-military personnel, that is, against civilians or noncombatants. Taking these as the only essential features of terrorism, the simplest and more accurate reportive definition is this: Terrorism is deliberate, politically-motivated violence, or the threat of such, directed against civilians.1 By contrast, Ted Honderich describes terrorism as small-scale violence, driven by a political aim, that violates national or international law and is prima facie morally wrong. He thereby counts a good deal of resistance activity and guerilla warfare as terrorist, even when directed against military personnel, while excluding the large-scale military actions of governments. Of course, he may define the word as he chooses, but given its common.. (shrink)

Over the last two years, the third wave of artificial intelligence (AI) has emerged powerful tools for both artistic expression and scientific research. In design, image generators display an equivalent disruption to text generators, while the medium of text creates the new scope of writing prompts. This contribution discusses the ambivalences between text and image generators via two main theses: first about the potential of prompting and generated images as a medium of discourse; second, it examines the reasoning behind (...) their tendency to be mystified. Prompts can be automated through text generators and used to generate images on a wider scale, making it a praxis in which precise wording becomes crucial for generating anything. Generated images practice a form of mimesis. With Generative Adversial Networks (GANs) producing non-referential images, the discourse of illustration is concerning the obsolescence of authorship. AI is observed to manifest a dual character, serving as both tool and author, even though AI does not own the classification of a person and is not an author in legal terms. The utilization of text and image generators is intertwined with a mythicized notion due to their non-verifiable mode of operation. The myth of AI is a product of its indeterminacy. (shrink)

In the present article relationship of thought and language for the priority aspect, from al-Fārābī’s point of view is discussed. Based on the three meanings of nuṭq (: speech), speaking is a process in which human soul is concerned with the three levels of intellectual faculty, apprehended objects in the mind as well as the expression by language. Then, this reveals a close and inseparable relationship between language and thought. Again it is suggested that relying on the tripartite theory of (...) word, world, and intelligibles, by Al-Fārābī, at the time of the process of speaking, human soul makes use of all knowledge either acquired previously, or the knowledge obtaining as the content of experience in the actual speech situation. Thus, in connection with the priority aspect of the relationship between thought and language, I suppose, in an analytical aspect of priority, there is no priority relation between them, namely, they are interdependent. It can be supported by this view that thought and gaining knowledge are continued even while speaking. Besides, it has been argued that the human soul, as the chief agent of thinking and obtaining knowledge, is not completely passive; then human thought cannot have transcendental supremacy over language. (shrink)

UNRWA’s Mediation Process is a key element in the organization’s efforts to strengthen its internal justice system. The research aims to study the reality of mediator competencies, emotional intelligence and case characteristics variables, (UNRWA) Gaza. The research also aims at identifying the differences between respondents as attributed to their professional and personal traits of age, gender, educational level, distribution of department, dispute resolution experience and representation party. The researchers adopted mixed data collection methods; quantitative and qualitative. For qualitative, a (...) semi-structured interview was conducted with (9) officials including management, staff unions and expert external mediators. (63) Questionnaires were distributed to a systematic random sample population; (56) were received, with a response rate 88.9%. The results proved that there are no significant differences among respondents attributed to personal and professional traits of age, academic background, gender, department, years’ of experience, educational degree and representation party. The research has presented some recommendations concerning the factors affecting the mediation outcomes of workplace disputes resolution. The recommendations include: UNRWA should adopt mediation as a method to resolve disputes at workplace instead of following litigation before the courts, as many organizations today increasingly started to adopt mediation as a method to resolve disputes at workplace. This will help decreasing the high cost, non-flexibility, and threatening features of disputes and conflicts resolution before courts, as well as enhance the relationship between disputant parties. Mediators are essentially recommended to attend regular training such as guiding negotiation processes, employing group sessions properly, overcoming obstacles, summarizing & analytical skills and selecting emotional words and phrases, it is also important to encourage the mediation experts' training workshops and meetings. Regular training sessions will not only improve skills and abilities, but will also imply variety and flexibility. This leads to having competent qualified mediators who are able to resolve organization’s workplace disputes in a way, which satisfies the need of disputants. (shrink)

The goal of creating Artificial General Intelligence (AGI) – or in other words of creating Turing machines (modern computers) that can behave in a way that mimics human intelligence – has occupied AI researchers ever since the idea of AI was first proposed. One common theme in these discussions is the thesis that the ability of a machine to conduct convincing dialogues with human beings can serve as at least a sufficient criterion of AGI. We argue that this (...) very ability should be accepted also as a necessary condition of AGI, and we provide a description of the nature of human dialogue in particular and of human language in general against this background. We then argue that it is for mathematical reasons impossible to program a machine in such a way that it could master human dialogue behaviour in its full generality. This is (1) because there are no traditional explicitly designed mathematical models that could be used as a starting point for creating such programs; and (2) because even the sorts of automated models generated by using machine learning, which have been used successfully in areas such as machine translation, cannot be extended to cope with human dialogue. If this is so, then we can conclude that a Turing machine also cannot possess AGI, because it fails to fulfil a necessary condition thereof. At the same time, however, we acknowledge the potential of Turing machines to master dialogue behaviour in highly restricted contexts, where what is called “narrow” AI can still be of considerable utility. (shrink)

In philosophy of language, a distinction has been proposed by Diego Marconi between two aspects of lexical competence, i.e. referential and inferential competence. The former accounts for the relation-ship of words to the world, the latter for the relationship of words among themselves. The aim of the pa-per is to offer a critical discussion of the kind of formalisms and computational techniques that can be used in Artificial Intelligence to model the two aspects of lexical competence, and of the (...) main difficulties related to the use of these computational techniques. The first conclusion of our discussion is that the dis-tinction between inferential and referential semantics is instantiated in the literature of Artificial Intelli-gence by the distinction between symbolic and connectionist approaches. The second conclusion of our discussion is that the modelling of lexical competence needs the advent of hybrid models integrating symbolic and connectionist frameworks. Our hypothesis is that Conceptual Spaces, a framework devel-oped by Gärdenfors more than fifteen years ago, can offer a lingua franca that allows to unify and gener-alize many aspects of the representational approaches mentioned above and to integrate “inferential” (=symbolic) and “referential” (=connectionist) computational approaches on common ground. (shrink)

The landscape of cybersecurity is constantly evolving, with adversaries becoming increasingly sophisticated and persistent. This manuscript explores the utilization of artificial intelligence (AI) to address these evolving threats, focusing on the journey from threat detection to autonomous response. By examining AI-driven detection methodologies, advanced threat analytics, and the implementation of autonomous response systems, this paper provides insights into how organizations can leverage AI to strengthen their cybersecurity posture against modern threats. Key words: Ransomware, Anomaly Detection, Advanced Persistent Threats (APTs), (...) Automated Threat Response and Artificial Intelligence. (shrink)

(The Kindle book can be ordered for $3.21 from Amazon) -/- Thinking is a fundamental activity of our species – those that give names to other creatures and call themselves humans. Textbooks tell us that there is about 1.2 kg of matter called the brain inside the human body. It sounds small but actually is proportionally the biggest among all animals on Earth. -/- I became more aware of thinking at around 5th grade upon hearing about an ancient paradox. It (...) can be summarized as follows. -/- ¤ -/- Once upon a time, there was a stupid king. In his kingdom lived a sage who was highly respected for his intelligence. The King did not appreciate this fact. Maybe the Sage made fun of the King’s intellect, but I am not so sure. Anyway, one day, the King summoned the Sage, intending to kill him. -/- The King said, “Wise man, I heard you earn a living by thinking and arguing. Now I give you two options to die.” -/- The Sage said, “Please tell me the choices, Your Majesty.” -/- The King continued, “You live by your tongue, so I will let you say one sentence before you die. If what you say is true, you will die by hanging. If what you say is false, you will die by beheading.” -/- Little did the King know that this was a stupid order. After a short while, the Sage confidently spoke his “last words”, which actually were what saved his life: -/- “Your Majesty, I am about to be beheaded!” -/- ¤ -/- As a “wild animal” going out into life from a young age, my brain spent a lot of time and energy looking for food. Now that I have become older, my body no longer needs so much sustenance. However, my mind craves a different type of nourishment: food for thought. -/- Food for thought can directly lead to food (on the table). My main job as a scientist exemplifies what I have just stated. Maybe we were wrong. Maybe it has been “thought for food” all along, like in such a sequence as TFFTTTFTFFTTFFFT... -/- In the hyper-chaotic infosphere today, we are surrounded by the noises of information, not only as wavy shores or waterfalls but also mega-tsunamis, through Twitter, Facebook, Tiktok, Instagram, Youtube, etc. More than ever, tranquility and calmness are necessary. Like what you have seen in wilderness video clips, predators such as lions, bears, and alligators act lightning-fast when catching prey. But when food is served, the natural world returns to its peaceful, soothing silence. -/- This short book is in its own tidy infosphere, where each little story is also brief and self-contained. Despite this small appearance, I hope the content inside carries the value of tranquility and life observation. The book is petite, but pretty sure not malnourished. A not-too-small detail is that the way the content was shaped and distilled reflects some innovations of mine and my research team: the mindsponge theory, a new theory of serendipity, the bayesvl R package, the BMF analytics, as well as other experiences from working in the field of science. After all, scientific works were my main source of food (before this book sells well – if it does). -/- Welcome to the priceless sober moments – with a chicken-burger price tag! -/- I hope this book will bring readers some moments of calmness, peaceful smiles, and maybe a couple of good laughs too. -/- ~~~ -/- *This update: December 12, 2023 (Third edition, with additions). (shrink)

Introduction: representationalismMost theorists of cognition endorse some version of representationalism, which I will understand as the view that the human mind is an information-using system, and that human cognitive capacities are representational capacities. Of course, notions such as ‘representation’ and ‘information-using’ are terms of art that require explication. As a first pass, representations are “mediating states of an intelligent system that carry information” (Markman and Dietrich 2001, p. 471). They have two important features: (1) they are physically realized, and so (...) have causal powers; (2) they are intentional, in other words, they have meaning or representational content. This presumes a distinction between a representational vehicle—a physical state or structure that has causal powers and is responsible for producing behavior—and its content. Consider the following characterization of a device that computes the addition functionReaders will recognize the similarity t. (shrink)

In the words of Charles Peirce from 1901, “man is but a degenerate monkey, with a paranoic talent for self-satisfaction, no matter what scrapes he may get himself into, calling them ‘civilization…’” Peirce’s concept of degenerate monkey draws attention both to our neotenous or prolonged newborn-like nature as “degenerate” in the mathematical sense of a genetic falling away from more mature genomes of other primates, and also to our monkeying around with the long evolutionary narrative of foraging, through the advent (...) of agriculture, settlement, and civilization. -/- Homo sapiens, man the knower, is the way we humans like to distinguish ourselves from the rest of nature. But if we consider ourselves as degenerate monkeys, perhaps homo errans, man the blunderer, would have been a better term, calling attention to our softened instinctive intelligence, in contrast to the “unerring instincts of other races,” as Peirce put it. -/- I take Peirce’s term “degenerate monkey” as not limited to moderns, but applicable to homo sapiens sapiens, anatomically modern humans, generally. Considering humans as degenerate monkeys is a key to understanding human development, in my view, precisely because we need to attune ourselves to the instinctive intelligence of the environment, drawing its intelligence into our dematured, blundering selves through abductive inference, and therein finding our maturity. Without that attunement to the Others, monkey goes mad, monkeying in its mirror of itself, fatally fixated, like Narcissus, and with similar results: planet of the degenerate monkeys, monkeying to mayhem. -/- As Cornelius, the ape archaeologist and historian in The Planet of the Apes stated it, reading from the sacred scrolls: “Beware the beast Man, for he is the Devil's pawn. Alone among God's primates, he kills for sport or lust or greed. Yea, he will murder his brother to possess his brother's land. Let him not breed in great numbers, for he will make a desert of his home and yours. Shun him; drive him back into his jungle lair, for he is the harbinger of death.” Or as Ralph Waldo Emerson put it: “The end of the human race will be that it will eventually die of civilization.” . (shrink)

Philosophers of language and metaethicists are concerned with persistent normative and evaluative disagreements – how can we explain persistent intelligible disagreements in spite of agreement over the described facts? Tim Sundell recently argued that evaluative aesthetic and personal taste disputes could be explained as metalinguistic negotiations – conversations where interlocutors negotiate how best to use a word relative to a context. I argue here that metalinguistic negotiations are neither necessary nor sufficient for genuine evaluative and normative disputes to occur. (...) A comprehensive account of value talk requires stronger metanormative commitments than metalinguistic negotiations afford. (shrink)

Constitutivists hope to locate the foundations of ethics in the nature of action. They hope to find norms that are constitutive of agency. Recently David Enoch has argued that even if there are such norms, they cannot provide the last word when it comes to normativity, since they cannot tell us whether we have reason to be agents rather than shmagents. I argue that the force of the shmagency objection has been considerably overestimated, because philosophers on both sides of (...) the debate have failed to grasp the true source of the authority of agency’s constitutive norm. Some constitutivists believe that this authority is rooted in the inescapability of agency. Yet agency is not, in fact, inescapable. What actually grounds the authority of agency’s constitutive norm is the fact that there is no standpoint outside of agency from which we can intelligibly ask normative questions. (shrink)

As the word demos denotes, the democracy is generally considered as the rule or governance based on the general base of people in which monarchy or oligarchy form is excluded. We have a classical view about the four forms of government, which was proposed by Platonic concepts. Most idealistic form of government, in his prongs, could be found in Crete and Sparta, which was nevertheless not a democratic form. His accolade of these two nations, which, of course, would be (...) a kind of God’s product so to be most benevolent, humanly appealing, efficient and philanthropic. This means the democratic form of government is not best, but most favored alternative to police the society. The political terms, henceforth, would supervene the concept of democracy, and, for many reasons and on historical wake, democracy is generally accepted as practically most desired form of rule or governance. While some modern scholar revealed, a mini-republic can be a niche to contest the merits of various forms of governance. We can gauge a scope of elements we value through the governance process, human intrinsic, efficiency, equality, welfare and even individual happiness. As the time is a small city community, called a polis, in Plato and Socrates, a mini republic can be well envisaged in understanding the Platonic Republic. In that case, most benevolent ruler may be superior to any other form of governance, which can be a philosopher’s Republic. The ideal ruler would behave and govern with mighty intelligence and concomitant power to rule. It is idealistic to produce maximum happiness of polis constituents. The worst contras, however, a tyranny, comes that the constituents legitimately expel their ruler by a collective vote. This extreme contrast and the way of process also could be ascertained in the ancient form of oriental monarchy. The dynasty could be legitimately revoked to restore new heritage of emperor or Kings where a kind of rebellion, as elucidated by Locke, is well justified in the name of heaven’s command. Given the size of polis or governed territory, there are separate ways to redress the evils of tyranny while the Oriental culture has not recognized the kind of formal vote methods. Any means to expel the tyranny could be embraced to rebel. For our purpose of grasp through this working paper, I would theorize on the traditional elements of public policy and democratic form of government. (shrink)

Cognitive representations are typically analysed in terms of content, vehicle and format. While current work on formats appeals to intuitions about external representations, such as words and maps, in this paper we develop a computational view of formats that does not rely on intuitions. In our view, formats are individuated by the computational profiles of vehicles, i.e., the set of constraints that fix the computational transformations vehicles can undergo. The resulting picture is strongly pluralistic, it makes space for a variety (...) of different formats, and is intimately tied to the computational approach to cognition in cognitive science and artificial intelligence. (shrink)

Public reason liberalism is defined by the idea that laws and policies should be justifiable to each person who is subject to them. But what does it mean for reasons to be public or, in other words, suitable for this process of justification? In response to this question, Kevin Vallier has recently developed the traditional distinction between consensus and convergence public reason into a classification distinguishing three main approaches: shareability, accessibility and intelligibility. The goal of this paper is to defend (...) the accessibility approach by demonstrating its ability to strike an appealing middle course in terms of inclusivity between shareability and intelligibility. We first argue against Vallier that accessibility can exclude religious reasons from public justification. Second, we use scientific reasons as a case study to show that accessibility excludes considerably fewer reasons than shareability. Throughout the paper, we connect our discussion of accessibility to John Rawls’s model of public reason, so as to give substance to the accessibility approach and to further our understanding of Rawls’s influential model. (shrink)

The basic task of the essay is to exhibit science as a rational enterprise. I argue that in order to do this we need to change quite fundamentally our whole conception of science. Today it is rather generally taken for granted that a precondition for science to be rational is that in science we do not make substantial assumptions about the world, or about the phenomena we are investigating, which are held permanently immune from empirical appraisal. According to this standard (...) view, science is rational precisely because science does not make a priori metaphysical presuppositions about the world forever preserved from possible empirical refutation. It is of course accepted that an individual scientist, developing a new theory, may well be influenced by his own metaphysical presuppositions. In addition, it is acknowledged that a successful scientific theory, within the context of a particular research program, may be protected for a while from refutation, thus acquiring a kind of temporary metaphysical status, as long as the program continues to be empirically progressive. All such views unite, however, in maintaining that science cannot make permanent metaphysical presuppositions, held permanently immune from objective empirical evaluation. According to this standard view, the rationality of science arises, not from the way in which new theories are discovered, but rather from the way in which already formulated theories are appraised in the light of empirical considerations. And the fundamental problem of the rationality of science—the Humean problem of induction— concerns precisely the crucial issue of the rationality of accepting theories in the light of evidence. In this essay I argue that this widely accepted standard conception of science must be completely rejected if we are to see science as a rational enterprise. In order to assess the rationality of accepting a theory in the light of evidence it is essential to consider the ultimate aims of science. This is because adopting different aims for science will lead us, quite rationally, to accept different theories in the light of evidence. I argue that a basic aim of science is to explain. At the outset science simply presupposes, in a completely a priori fashion, that explanations can be found, that the world is ultimately intelligible or simple. In other words, science simply presupposes in an a priori way the metaphysical thesis that the world is intelligible, and then seeks to convert this presupposed metaphysical theory into a testable scientific theory. Scientific theories are only accepted insofar as they promise to help us realize this fundamental aim. At once a crucial problem arises. If scientific theories are only accepted insofar as they promise to lead us towards articulating a presupposed metaphysical theory, it is clearly essential that we can choose rationally, in an a priori way, between all the very different possible metaphysical theories that can be thought up, all the very different ways in which the universe might ultimately be intelligible. For holding different aims, accepting different metaphysical theories conceived of as blueprints for future scientific theories will, quite rationally, lead us to accept different scientific theories. Thus it is only if we can choose rationally between conflicting metaphysical blueprints for future scientific theories that we will be in a position to appraise rationally the acceptability of our present day scientific theories. We thus face the crucial problem: How can we choose rationally between conflicting possible aims for science, conflicting metaphysical blueprints for future scientific theories ? It is only if we can solve this fundamental problem concerning the aims of science that we can be in a position to appraise rationally the acceptability of existing scientific theories. There is a further point here. If we could choose rationally between rival aims, rival metaphysical blueprints for future scientific theories, then we would in effect have a rational method for the discovery of new scientific theories! Thus we reach the result: there is only a rational method for the appraisal of existing scientific theories if there is a rational method of discovery. I shall argue that the aim-oriented theory of scientific inquiry to be advocated here succeeds in exhibiting science as a rational enterprise in that it succeeds in providing a rational procedure for choosing between rival metaphysical blueprints: it thus provides a rational, if fallible, method of discovery, and a rational method for the appraisal of existing scientific theories—thus resolving the Humean problem. In Part I of the essay I argue that the orthodox conception of science fails to exhibit science as a rational enterprise because it fails to solve the Humean problem of induction. The presuppositional view advocated here does however succeed in resolving the Humean problem. In Part II of the essay I spell out the new aim-oriented theory of scientific method that becomes inevitable once we accept the basic presuppositional viewpoint. I argue that this new aim oriented conception of scientific method is essentially a rational method of scientific discovery, and that the theory has important implications for scientific practice. (shrink)

Geach and Thomson have argued that nothing is just plain good, because ‘good’ is, logically, an attributive adjective. The upshot, according to Geach and Thomson, is that consequentialism is unacceptable, since its very formulation requires a predicative use of ‘good’. Reactions to the argument have, for the most part, been uniform. Authors have converged on two challenging objections . First, although the logical tests that Geach and Thomson invoke clearly illustrate that ‘good’, as commonly used, is an attributive, they don’t (...) show that ‘good’ lacks an intelligible predicative interpretation. Second, even if the English word ‘good’ fails to express the property of goodness, we can just stipulate that ‘good*’ expresses goodness and thus formulate consequentialism accordingly. The second objection is one way of voicing skepticism about the method of drawing substantive philosophical conclusions from considerations about ordinary language. In this essay, we present an argument, inspired by Geach and Thomson, which isn’t susceptible to the same objections but which supports the same conclusion. The significance of our argument for ethics is obvious; it challenges the intelligibility of standard consequentialism, and even certain forms of non-consequentialism. One might be inclined to think that a more sophisticated consequentialism, which relies on ‘good {possible world/state of affairs/outcome}’ instead of just ‘good’, evades the criticism. But we explain why the criticism can’t be so easily evaded. (shrink)

The contribution of the body to cognition and control in natural and artificial agents is increasingly described as “off-loading computation from the brain to the body”, where the body is said to perform “morphological computation”. Our investigation of four characteristic cases of morphological computation in animals and robots shows that the ‘off-loading’ perspective is misleading. Actually, the contribution of body morphology to cognition and control is rarely computational, in any useful sense of the word. We thus distinguish (1) morphology (...) that facilitates control, (2) morphology that facilitates perception and the rare cases of (3) morphological computation proper, such as ‘reservoir computing.’ where the body is actually used for computation. This result contributes to the understanding of the relation between embodiment and computation: The question for robot design and cognitive science is not whether computation is offloaded to the body, but to what extent the body facilitates cognition and control – how it contributes to the overall ‘orchestration’ of intelligent behaviour. (shrink)

In his early essay, “Must We Mean What We Say”, Cavell argues that the claims of ordinary language philosophers regarding “what we say when” are not empirical generalizations about a given group of speakers but are rather to be understood as measuring the limits of what counts as a coherent act of thinking and speaking. Cavell’s charge against the skeptic about the external world is that he seeks to think and speak beyond these limits. In this paper I compare Cavell’s (...) response to the skeptic to Davidson’s. Both base their responses on a broadly Kantian approach that appeals to the conditions under which thinking or speaking about objects is possible. On this approach the skeptic isn’t giving a false answer to an intelligible question, but rather, the question to which the skeptic is giving an answer is shown to be in some way unintelligible. But while Davidson’s critique of the skeptic is based on the conditions of ascribing meaning to one’s words, and contents to one’s beliefs, Cavell’s critique is based on the failure of the skeptic to mean the words he uses in the way that he needs. This difference expresses an underlying disagreement about the meaning of “meaning”: for Davidson the world comes into view through the meaning of our words and concepts, through the contents of our beliefs; for Cavell, the world comes into view through the agreement in “criteria” that are a condition of applying words and concepts to the world. This difference illuminates what Cavell calls “the truth of skepticism”: the idea that “my relation to the world and to others in general is not one of knowing”. (shrink)

It is a commonplace that there are limits to the ways we can permissibly treat people, even in the service of good ends. For example, we may not steal someone’s wallet, even if we plan to donate the contents to famine relief, or break a promise to help a colleague move, even if we encounter someone else on the way whose need is somewhat more urgent. In other words, we should observe certain constraints against mistreating people, where a constraint is (...) a moral principle that we should not violate, even when that is the only way to prevent further, similar violations or other, greater evils. But, despite its intuitive appeal, the view that there are constraints has drawn considerable criticism, and attempts to provide a rationale for constraints have been, at best, substantially incomplete. In this paper, I develop a novel rationale for constraints that fills important gaps left by views in the literature. The account helps make sense of constraints by identifying a morally significant relation that we bear to people when, and only when, we observe certain constraints against mistreating them. Put roughly, observing these constraints is a condition for being worthy of a form of trust that I call civic trust, and being worthy of such trust is an essential part of living with others in the sort of harmony that characterizes morally permissible interaction. By focusing, in ways other accounts do not, on the role that observing constraints plays in our psychological lives, this approach not only makes the structure of constraints more intelligible, but also helps us better appreciate the force of our reason to observe constraints, and better understand the kind of moral community to which we should aspire. (shrink)

Inner speech travels under many aliases: the inner voice, verbal thought, thinking in words, internal verbalization, “talking in your head,” the “little voice in the head,” and so on. It is both a familiar element of first-person experience and a psychological phenomenon whose complex cognitive components and distributed neural bases are increasingly well understood. There is evidence that inner speech plays a variety of cognitive roles, from enabling abstract thought, to supporting metacognition, memory, and executive function. One active area of (...) controversy concerns the relation of inner speech to auditory verbal hallucinations in schizophrenia, with a common proposal being that sufferers of AVH misidentify their own inner speech as being generated by someone else. Recently, researchers have used artificial intelligence to translate the neural and neuromuscular signatures of inner speech into corresponding outer speech signals, laying the groundwork for a variety of new applications and interventions. (shrink)

The main thesis of Michael Della Rocca’s outstanding Spinoza book (Della Rocca 2008a) is that at the very center of Spinoza’s philosophy stands the Principle of Sufficient Reason (PSR): the stipulation that everything must be explainable or, in other words, the rejection of any brute facts. Della Rocca rightly ascribes to Spinoza a strong version of the PSR. It is not only that the actual existence and features of all things must be explicable, but even the inexistence – as well (...) as the absence of any feature of any thing – demands an explanation. Della Rocca does not stop here, however. He feeds his PSR monster with some more powerful steroids and suggests that Spinoza advocates what he terms “the twofold use of the PSR.” It is not only that everything must be explained and made intelligible, but it must ultimately be explained in terms of explainability or intelligibility itself. This twofold use of the PSR is the key to the entire book. Della Roca’s strategy throughout the book is to argue that any key feature of Spinoza’s system – be it causality, inherence, essence, consciousness, existence, rejection of teleology, goodness or political right – must be explained, and ultimately it must be explained in terms of intelligibility. “Spinoza single-mindedly digs and digs until we find that the phenomenon in question is nothing but some form of intelligibility itself, of explicability itself” (Della Rocca 2008a: 2). Della Rocca’s book came out together with a cluster of articles in which he develops in detail his new reading of Spinoza. In one of these articles, he warns the reader: “Don’t let me start” (Dell Rocca 2010: 1). The train that is about to embark leads to very bizarre terrain, and thus one should think twice before embarking on the “PSR Express.” In this paper I argue that the train was hijacked. This was a perfect crime: without anyone noticing it, the engine driver diverted the train to a new route, and as with other perfect crimes, it is none but the criminal himself who is capable of, and indeed will, bring about his own demise. As I will later argue, Della Rocca’s “PSR-on-steroids” will eventually cripple reason itself. But let us not run too fast, and start at the very beginning. I happily – or at least, so I think - board the “PSR Express.” I believe Spinoza is strongly committed to the PSR and makes very significant use of this principle, but, unlike Della Rocca, I do not think the PSR is the key to all mysteries Spinozist, nor do I believe Spinoza was committed to the reductionist program of explaining all things through intelligibility (i.e., the second use of the PSR). (shrink)

In this paper, I attempt to address a fundamental challenge for machine intelligence: to understand whether and how a machine’s internal states and external outputs can exhibit original non-derivative intentionality. This question has three aspects. First, what does it take for a machine to exhibit original de dicto intentionality? Second, what does it take to exhibit original de re intentionality? Third, what is required for the machine to defer to the external objective world by respecting the word-to-world direction (...) of fit? I attempt to answer the first challenge by providing a constitutive counts-as understanding of de dicto intentionality. This analysis involves repurposing Kant’s vision of a self-legislating agent as a specification of a machine that reprograms itself. I attempt to answer the second and third challenges by extending Kant’s synchronic model of de dicto intentionality with Brandom’s interpretation of Hegel’s diachronic model of de re intentionality, using Hegel’s notion of recollection to provide an understanding of what is involved in achieving deference to the external world. (shrink)

We discuss a research project that develops and applies algorithms for computational contextual vocabulary acquisition (CVA): learning the meaning of unknown words from context. We try to unify a disparate literature on the topic of CVA from psychology, first- and secondlanguage acquisition, and reading science, in order to help develop these algorithms: We use the knowledge gained from the computational CVA system to build an educational curriculum for enhancing students’ abilities to use CVA strategies in their reading of science texts (...) at the middle-school and college undergraduate levels. The knowledge gained from case studies of students using our CVA techniques feeds back into further development of our computational theory. Keywords: artificial intelligence, knowledge representation, reading, reasoning, science education, vocabulary acquisition. (shrink)

This article focuses on the reception of Aristotle’s Categories by the first three representatives of Greek Neoplatonism: Plotinus (204/205–270 CE), Porphyry (ca. 234–ca. 305 CE), Iamblichus (ca. 242–ca. 325 CE). The first section argues that Plotinus’ acquaintance with Aristotle’s treatises marked a fresh start vis-à-vis the previous Platonist tradition. Aristotle’s views, arguments and vocabulary are ubiquitous in Plotinus writings (the Enneads) and they must be considered an essential part of his philosophical project. Plotinus, however, does not share some of Aristotle’s (...) key theories and is critical of them. The second section focuses on Plotinus’ discussion of Aristotle’s Categories in the tripartite treatise On the Genera of Being (6.1–3). There he rejects the Peripatetic division into ten categories as providing an incomplete account of the genera of being that unduly omits “those which are most authentically beings”, i.e. Plato’s separate Forms. While drawing on earlier Platonist objections to Aristotle, Plotinus’ approach is original insofar as he criticizes Aristotle and his followers not only for omitting intelligible beings in the division of categories, but also for being unable, for this very reason, to work out an adequate division of sensible beings themselves. The third section is devoted to Porphyry, a student of Plotinus’ and the editor of his works. Porphyry worked intensively on Aristotle’s Categories, which he regarded as an introduction not only to logic, but to philosophy as a whole. Unlike Plotinus, Porphyry aimed to integrate Aristotle into Platonism and his engagement with the Categories was a key part of his project after Plotinus’ in-depth criticism. Porphyry’s approach is connected to his view of the subject-matter of the Categories, which he sees as focusing on words insofar as they signify beings, and not on beings as such. The fourth section focuses on some parallels between Plotinus’ Genera of Beings and Porphyry’s works, which may reflect the debate within Plotinus’ school. The fifth section focuses on Iamblichus of Chalcis. Both in theology and in the interpretation of Aristotle’s Categories, Iamblichus aimed to both continue and supplant Porphyry’s work. While Plotinus criticizes Aristotle’s categories for omitting intelligible beings, and while Porphyry accepts Aristotle’s categories insofar as they focus on words signifying sensible things, Iamblichus incorporates his Neoplatonist and Pythagorizing metaphysics into the interpretation of the Categories. (shrink)