The experience machine poses the most important problem for hedonist theories of well-being. I argue that desire satisfactionism about well-being faces a similar problem: the desire machine. Upon entering this machine, your desires are altered through some minor neurosurgery. In particular, the machine causes you to desire everything that actually happens. The experience machine constructs a simulated world that matches your preexisting desires. The desire machine reconstructs your conative state to (...) match the preexisting world. Desire satisfactionism recommends entering the desire machine because you will then have more satisfied desires, but this seems wrong. -/- In this paper, I consider how desire satisfactionists might avoid the result that entering the desire machine increases one’s well-being. First, I further motivate why this problem arises. Second, I consider coherence-based norms of rational desire change. Finally, I argue that introducing a substantive account of fitting desire is the only plausible solution, but that this response requires abandoning pure subjectivism about well-being. (shrink)

ArgumentIn 1895 when the Lumière brothers unveiled their cinematographic camera, many scientists were elated. Scientists hoped that the machine would fulfill a desire that had driven research for nearly half a century: that of capturing the world in its own image. But their elation was surprisingly short-lived, and many researchers quickly distanced themselves from the new medium. The cinematographic camera was soon split into two machines, one for recording and one for projecting, enabling it to further escape from (...) the laboratory. The philosopher Henri Bergson joined scientists, such as Etienne-Jules Marey, who found problems with the new cinematographic order. Those who had worked to make the dream come true found that their efforts had been subverted. This essay focuses on the desire to build a cinematographic camera, with the purpose of elucidating how dreams and reality mix in the development of science and technology. It is about desired machines and their often unexpected results. The interplay between what “is” (the technical), what “ought” (the ethical), and what “could” be (the fantastical) drives scientific research. (shrink)

Capitalism and technology, working for each other, like the two-headed monster Janus and also like a transnational condominium, have both created various machines that enslave us all by transforming human life on earth. What follows is a brief historical sketch of how capital and technology brought this about.

It is argued that Nozick's experience machine thought experiment does not pose a particular difficulty for mental state theories of well-being. While the example shows that we value many things beyond our mental states, this simply reflects the fact that we value more than our own well-being. Nor is a mental state theorist forced to make the dubious claim that we maintain these other values simply as a means to desirable mental states. Valuing more than our mental states is (...) compatible with maintaining that the impact of such values upon our well-being lies in their impact upon our mental lives. (shrink)

In this paper, I reconstruct Robert Nozick's experience machine objection to hedonism about well-being. I then explain and briefly discuss the most important recent criticisms that have been made of it. Finally, I question the conventional wisdom that the experience machine, while it neatly disposes of hedonism, poses no problem for desire-based theories of well-being.

The desirable gambles framework offers the most comprehensive foundations for the theory of lower pre- visions, which in turn affords the most general ac- count of imprecise probabilities. Nevertheless, for all its generality, the theory of lower previsions rests on the notion of linear utility. This commitment to linearity is clearest in the coherence axioms for sets of desirable gambles. This paper considers two routes to relaxing this commitment. The first preserves the additive structure of the desirable gambles framework and (...) the machinery for coherent inference but detaches the interpretation of desirability from the multiplicative scale invariance axiom. The second strays from the additive combination axiom to accommodate repeated gambles that return rewards by a non-stationary processes that is not necessarily additive. Unlike the first approach, which is a conservative amendment to the desirable gambles framework, the second is a rad- ical departure. Yet, common to both is a method for describing rewards called discounted utility. (shrink)

The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their functionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adaptations, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In particular, (...) the analogy with human-made machines falters when we move down to the level of molecular biology and genetics. Living organisms are far more messy and less transparent than human-made machines. Notoriously, evolution is an opportunistic tinkerer, blindly stumbling on ‘‘designs’’ that no sensible engineer would come up with. Despite impressive technological innovation, the prospect of artificially designing new life forms from scratch has proven more difficult than the superficial analogy with ‘‘programming’’ the right ‘‘software’’ would suggest. The idea of applying straightforward engineering approaches to living systems and their genomes— isolating functional components, designing new parts from scratch, recombining and assembling them into novel life forms—pushes the analogy with human artifacts beyond its limits. In the absence of a one-to-one correspondence between genotype and phenotype, there is no straightforward way to implement novel biological functions and design new life forms. Both the developmental complexity of gene expression and the multifarious interactions of genes and environments are serious obstacles for ‘‘engineering’’ a particular phenotype. The problem of reverse-engineering a desired phenotype to its genetic ‘‘instructions’’ is probably intractable for any but the most simple phenotypes. Recent developments in the field of bio-engineering and synthetic biology reflect these limitations. Instead of genetically engineering a desired trait from scratch, as the machine/engineering metaphor promises, researchers are making greater strides by co-opting natural selection to ‘‘search’’ for a suitable genotype, or by borrowing and recombining genetic material from extant life forms. (shrink)

Early modern automata, understood as efforts to ‘model’ life, to grasp its singular properties and/or to unveil and demystify its seeming inaccessibility and mystery, are not just fascinating liminal, boundary, hybrid, crossover or go-between objects, while they are all of those of course. They also pose a direct challenge to some of our common conceptions about mechanism and embodiment. They challenge the simplicity of the distinction between a purported ‘mechanistic’ worldpicture, its ontology and its goals, and on the other hand (...) an attempt to understand ourselves and animals more broadly as flesh-and-blood, affective entities (that is, not just breathing and perspiring, but also desiring and ‘sanguine’ machines, as La Mettrie might have put it). In what follows I reflect on the complexity of early modern mechanism faced with the (living) body, and its mirror image, contemporary theories of embodiment. At times, embodiment theory seems to be governed by a fascination with what the Artificial Life researcher Ezequiel Di Paolo has called ‘biochauvinism’ (Di Paolo, “Extended Life”): an unquestioned belief that ‘living bodies are special’. Yet how does the theorist define this special status? The question is apparently a simple one, or at least promptly yields an aporia which appears simple: to borrow a provocative phrase from Terry Eagleton, embodiment theory is obsessed by the body but terrified of biology. Yet at the same time, at least since Hubert Dreyfus and Andy Clark’s groundbreaking works, embodiment has been a legit part of cognitive science, yielding the even more recently emerged field of ‘embodied cognition’ (see the work of Larry Shapiro), which seeks to depart from traditional cognitive science, especially the latter’s understanding of cognition as computational, in order to instead underscore “the significance of an organism’s body in how and what the organism thinks,” in Shapiro’s words. (shrink)

In this article I explore various facets of Nozick’s famous thought experiment involving the experience machine. Nozick’s original target is hedonism—the view that the only intrinsic prudential value is pleasure. But the argument, if successful, undermines any experientialist theory, i.e. any theory that limits intrinsic prudential value to mental states. I first highlight problems arising from the way Nozick sets up the thought experiment. He asks us to imagine choosing whether or not to enter the machine and uses (...) our choice (or rather the choice he assumes most people will have) as evidence against experientialist theories. But for this strategy to succeed it must be possible to distinguish between self-interested and non-self-interested reasons for declining to enter the machine, and there is no obvious way to do this without begging the question against the hedonist. In successive sections I then (a) consider a common misconception of Nozick’s conclusion (that he thinks machine life is the worst life), (b) consider different intuitions about what is important to well-being but missing from machine life, and finally (c) explain what “the experience requirement” is, and describe its relationship to debates about experientialist theories. (shrink)

A critique of the prediction that technology will end humans' direct involvement in work. Contentions: a workless world is not without qualification desirable; it is not attainable by technology alone; the end sought does not in and by itself justify present job ending applications. Underlying these contentions: a claim that utopian visions with regard to work function as ideologies. Evidence for this claim derived from revisiting past non-industrial and industrial fantasies regarding a work-free utopia.

This study aims to grasp the two distinct artworks one is from the literary field: Penal Colony, written by F. Kafka and the other one is from painting: The Large Glass, designed by M. Duchamp. This text tries to unravel the similarities betwe- en these artworks in terms of two main significations around “The Officer” from Penal Colony and “The Bachelors” from The Large Glass. Because of their vital role on the re-production of status-quo, this text asserts that there is (...) a similarity between them in the name of being part of the dispositions of body and desire. First of all, the text focuses on Penal Colony, especially on “The Officer” in or- der to observe his obsession towards the order that ruled by former and the late officer of colony. Deleuze & Guattari conceptualize it as “abstract-machines” and it refers to a contingent state of being which is produced as an obligatory entity. Besides, The Officers’ application via a “labeling machine” on inmates creates a framewok of a dispositif in Foucauldian terminology. Secondly, it is emphasized that The Bachelors from the Large Glass for his context, due to its reference for the concept of desire and a metaphorical connotation for desire as “cocoa”. The Large Glass is also turn around the dispositif in a different way: love. It is stated that criticizing the love to nowhere which belongs to The Bachelors and it can be found that there is an abstract-machine again in back of this practice and it converts The Bachelors’ energeia to make an apparatus possible and operative. (shrink)

This Master’s thesis explores the relationship between Brain-Computer Interfaces (BCIs) and their human users from a functional, epistemological and phenomenological perspective. The analysis has four steps. I start out with a technical description of BCI systems in which I conceptually analyze different types of BCI applications. This results in the development of a taxonomy of applications which is the point of departure for further philosophical analysis. Thereafter, I explore the functional relationship between BCI applications and their users. That is to (...) say, I analyze functions of BCI applications, relate them to abilities of their users and explore how they extend these abilities. After that, the epistemological relation between BCI systems and their users is conceptualized by analyzing how they contribute to cognitive processes of their users, which is done by using the distributed cognition framework. And lastly, a postphenomenological framework is adapted to investigate how BCIs mediate the experiences of their users. This thesis ends with a reflection in which (1) possible developments in BCI research are placed in a broader historical-anthropological perspective, and (2) a moral consideration is given on the desirability of BCIs. (shrink)

Except in extraordinary circumstances, patients' clinical care should reflect their preferences. Incapacitated patients cannot report their preferences. This is a problem. Extant solutions to the problem are inadequate: surrogates are unreliable, and advance directives are uncommon. In response, some authors have suggested developing algorithmic "patient preference predictors" (PPPs) to inform care for incapacitated patients. In a recent paper, Earp et al. propose a new twist on PPPs. Earp et al. suggest we personalize PPPs using modern machine learning (ML) techniques. (...) In this paper, I argue that, contrary to Earp et al.'s claim, personalized patient preference predictors are neither technically feasible nor ethically desirable. (shrink)

Most online platforms are becoming increasingly algorithmically personalized. The question is if these practices are simply satisfying users preferences or if something is lost in this process. This article focuses on how to reconcile the personalization with the importance of being able to share cultural objects - including fiction – with others. In analyzing two concrete personalization examples from the streaming giant Netflix, several tendencies are observed. One is to isolate users and sometimes entirely eliminate shared world aspects. Another tendency (...) is to blur the boundary between shared cultural objects and personalized content, which can be misleading and disorienting. A further tendency is for personalization algorithms to be optimized to deceptively prey on desires for content that mirrors one’s own lived experience. Some specific - often minority targeting -“clickbait” practices received public blowback. These practices show disregard both for honest labeling and for our desires to have access and representation in a shared world. The article concludes that personalization tendencies are moving towards increasingly isolating and disorienting interfaces, but that platforms could be redesigned to support better social world orientation. (shrink)

The concept of time-travel is a modern idea which combines the imaginary signification of rational domination, the imaginary signification of technological omnipotence, the imaginary concept of eternity and the imaginary desire for immortality. It is a synthesis of central conceptual schemata of techno-science, such as the linearity and homogeneity of time, the radical separation of subjectivity from the world, the radical separation of the individual from his/her social-historical environment. The emergence of this idea, its spread during the 20th century (...) as a major theme of science fiction literature alongside its dissemination as a scientific hypothesis, its popularity with both the public and the scientific community, are indications of the religious role of techno-science. It is my opinion, finally, that, as a chimera, time-travel is non-feasible and impossible. In order to support my claims, I will briefly outline the origins of the time-travel concept and its epistemological and metaphysical/ontological conditions. If these conditions prove to be absurd, the logical impossibility of time-travel will have been demonstrated. (shrink)

With the current improvement of development towards pharmaceutical, distinctive ultrasound methodologies are open to find the fetal prosperity. It is analyzed with diverse clinical parameters with 2-D imaging and other test. In any case, prosperity desire of fetal heart still remains an open issue due to unconstrained works out of the hatchling, the minor heart appraise and inadequate of data in fetal echocardiography. The machine learning strategies can find out the classes of fetal heart rate which can beutilized (...) for earlier evaluating. With this background, we have utilized Cardiotocographic Fetal heart rate dataset removed from UCI Machine Learning Store for predicting the fetal heart rate health classes. The Prediction of fetal health rate are achieved in six ways. Firstly, the data set is preprocessed with Feature Scaling and missing values. Secondly, exploratory data investigation is done and the dispersion of target feature is visualized. Thirdly, the raw data set is fitted to all the classifiers and the performance is analysed before and after feature scaling. Fourth, the raw data set is subjected to undersampling methods like ClusterCentroids, RepeatedENN, AllKNN, CondensedNearestNeighbour, EditedNearestNeighbours, InstanceHardnessThreshold and NearMiss. Fifth, the undersampled dataset by above mentioned methods are fitted to all the classifiers and the performance is analyzed before and after feature scaling. Sixth, performance analysis is done using metrics like Precision, Recall, F-score, Accuracy and running time. The execution is done using python language under Spyder platform with Anaconda Navigator. Experimental results shows that the Decision Tree classifier tends to retain 98% before and after feature scaling for the underrsampling with EditedNearestNeighbours, RepeatedENN and AllKNN methods. (shrink)

This paper reframes the issue of appropriation, extraction, and dispossession through AI—an assemblage of machine learning models trained on big data—in terms of enclosure and foreclosure. While enclosures are the product of a well-studied set of operations pertaining to both the constitution of the sovereign State and the primitive accumulation of capital, here, I want to recover an older form of the enclosure operation to then contrast it with foreclosure to better understand the effects of current algorithmic rationality. I (...) argue that the act of enclosing is to be understood as a set of fundamental operations that consist in producing structural distinctions between inside and outside, inclusion and exclusion—whether by drawing lines on a map, constructing border walls, or by algorithmically categorizing and (mis)recognizing people and things. Tracking the transformation of an enclosure-logic into one of foreclosure, I show how current AI perpetuates and at the same time expends forms of extraction, exclusion, and dispossession toward a totalizing horizon. For, while the outside is essential and constitutive to the logic of enclosure, foreclosure, by contrast, is characterized by the “totalizing desire” to not leave anything out of it. The totalizing desire to move beyond the logic of the enclosure forecloses that the enclosure has just gotten bigger and that the operations of exclusion have been masked and displaced, making them harder to contest. (shrink)

This volume celebrates the various facets of Alan Turing (1912–1954), the British mathematician and computing pioneer, widely considered as the father of computer science. It is aimed at the general reader, with additional notes and references for those who wish to explore the life and work of Turing more deeply. -/- The book is divided into eight parts, covering different aspects of Turing’s life and work. -/- Part I presents various biographical aspects of Turing, some from a personal point of (...) view. -/- Part II presents Turing’s universal machine (now known as a Turing machine), which provides a theoretical framework for reasoning about computation. His 1936 paper on this subject is widely seen as providing the starting point for the field of theoretical computer science. -/- Part III presents Turing’s working on codebreaking during World War II. While the War was a disastrous interlude for many, for Turing it provided a nationally important outlet for his creative genius. It is not an overstatement to say that without Turing, the War would probably have lasted longer, and may even have been lost by the Allies. The sensitive nature of Turning’s wartime work meant that much of this has been revealed only relatively recently. -/- Part IV presents Turing’s post-War work on computing, both at the National Physical Laboratory and at the University of Manchester. He made contributions to both hardware design, through the ACE computer at the NPL, and software, especially at Manchester. Part V covers Turing’s contribution to machine intelligence (now known as Artificial Intelligence or AI). Although Turing did not coin the term, he can be considered a founder of this field which is still active today, authoring a seminal paper in 1950. -/- Part VI covers morphogenesis, Turing’s last major scientific contribution, on the generation of seemingly random patterns in biology and on the mathematics behind such patterns. Interest in this area has increased rapidly in recent times in the field of bioinformatics, with Turing’s 1952 paper on this subject being frequently cited. -/- Part VII presents some of Turing’s mathematical influences and achievements. Turing was remarkably free of external influences, with few co-authors – Max Newman was an exception and acted as a mathematical mentor in both Cambridge and Manchester. -/- Part VIII considers Turing in a wider context, including his influence and legacy to science and in the public consciousness. -/- Reflecting Turing’s wide influence, the book includes contributions by authors from a wide variety of backgrounds. Contemporaries provide reminiscences, while there are perspectives by philosophers, mathematicians, computer scientists, historians of science, and museum curators. Some of the contributors gave presentations at Turing Centenary meetings in 2012 in Bletchley Park, King’s College Cambridge, and Oxford University, and several of the chapters in this volume are based on those presentations – some through transcription of the original talks, especially for Turing’s contemporaries, now aged in their 90s. Sadly, some contributors died before the publication of this book, hence its dedication to them. -/- For those interested in personal recollections, Chapters 2, 3, 11, 12, 16, 17, and 36 will be of interest. For philosophical aspects of Turing’s work, see Chapters 6, 7, 26–31, and 41. Mathematical perspectives can be found in Chapters 35 and 37–39. Historical perspectives can be found in Chapters 4, 8, 9, 10, 13–15, 18, 19, 21–25, 34, and 40. With respect to Turing’s body of work, the treatment in Parts II–VI is broadly chronological. We have attempted to be comprehensive with respect to all the important aspects of Turing’s achievements, and the book can be read cover to cover, or the chapters can be tackled individually if desired. There are cross-references between chapters where appropriate, and some chapters will inevitably overlap. -/- We hope that you enjoy this volume as part of your library and that you will dip into it whenever you wish to enter the multifaceted world of Alan Turing. (shrink)

In this article, I use science-fiction scenarios drawn from Dan Simmons’ “Hyperion Cantos” (Hyperion, The Fall of Hyperion, Endymion, The Rise of Endymion) to explore a cluster of issues related to the evolutionary history and neural bases of human moral cognition, and the moral desirability of improving our ability to make moral decisions by techniques of neuroengineering. I begin by sketching a picture of what recent research can teach us about the character of human moral psychology, with a particular emphasis (...) on highlighting the importance of our evolutionary background as social mammals. I then consider how the moral psychology of intelligent machines might differ from our own, and argue that the differences would depend on the extent to which their evolutionary background resembled our own. I offer two very different case studies—the “Technocore AIs” that have evolved from early, parasitic computer programs, and the mysterious “Shrike,” who travels backward through time. I close by looking at the character of Aenea, a messianic figure that is a joint descendant of humans and machines. I argue that while the sort of “moral enhancement” she represents is far beyond the scope of either contemporary neuroscience or artificial intelligence research, it nevertheless represents a worthwhile goal. (shrink)

Definition of the problem The umbrella term “explicability” refers to the reduction of opacity of artificial intelligence (AI) systems. These efforts are challenging for medical AI applications because higher accuracy often comes at the cost of increased opacity. This entails ethical tensions because physicians and patients desire to trace how results are produced without compromising the performance of AI systems. The centrality of explicability within the informed consent process for medical AI systems compels an ethical reflection on the trade-offs. (...) Which levels of explicability are needed to obtain informed consent when utilizing medical AI? Arguments We proceed in five steps: First, we map the terms commonly associated with explicability as described in the ethics and computer science literature, i.e., disclosure, intelligibility, interpretability, and explainability. Second, we conduct a conceptual analysis of the ethical requirements for explicability when it comes to informed consent. Third, we distinguish hurdles for explicability in terms of epistemic and explanatory opacity. Fourth, this then allows to conclude the level of explicability physicians must reach and what patients can expect. In a final step, we show how the identified levels of explicability can technically be met from the perspective of computer science. Throughout our work, we take diagnostic AI systems in radiology as an example. Conclusion We determined four levels of explicability that need to be distinguished for ethically defensible informed consent processes and showed how developers of medical AI can technically meet these requirements. (shrink)

This essay attempts to reconstruct the notion of desire adopted in Deleuze and Guattar's "Anti-Oedipus" by focusing on some of its principal components: flow, line of flight, machine, molecular, and body without organs.

The essay investigates desire in Shakespeare’s Richard III as connected to Deleuze and Guattari’s line of flight and war machine.

This article synthesizes the current theoretical attempts to understand human-machine interactions and introduces seven premises to understand our emerging dynamics with increasingly competent, pervasive, and instantly accessible algorithms. The hope that these seven premises can build toward a social theory of human-AI cocreation. The focus on human-AI cocreation is intended to emphasize two factors. First, is the fact that our machine learning systems are socialized. Second, is the coevolving nature of human mind and AI systems as smart devices (...) form an indispensable part of our cognitive scaffolds, thus, shaping how we perceive the world and ourselves. The seven premises include: primacy of social structures; human’s desire for freedom and autonomy; AI systems will form inseparable parts of our cognitive/affective scaffolds and can change our self-understanding; philosophy and humanistic foundations on human flourishing as a guide to human-AI interaction; mindsponge information-filtering process; acculturative process of how values change and emerge from human-AI interaction; overlapping Venn diagram of the human-human, human-nature, and human-machine interactions. This article concludes with a discussion on human agency in our entanglements with socialized machines and the illusoriness of the Cartesian agent view of the mind. (shrink)

This paper examines the question of whether Large Language Models (LLMs) like ChatGPT possess minds, focusing specifically on whether they have a genuine folk psychology encompassing beliefs, desires, and intentions. We approach this question by investigating two key aspects: internal representations and dispositions to act. First, we survey various philosophical theories of representation, including informational, causal, structural, and teleosemantic accounts, arguing that LLMs satisfy key conditions proposed by each. We draw on recent interpretability research in machine learning to support (...) these claims. Second, we explore whether LLMs exhibit robust dispositions to perform actions, a necessary component of folk psychology. We consider two prominent philosophical traditions, interpretationism and representationalism, to assess LLM action dispositions. While we find evidence suggesting LLMs may satisfy some criteria for having a mind, particularly in game-theoretic environments, we conclude that the data remains inconclusive. Additionally, we reply to several skeptical challenges to LLM folk psychology, including issues of sensory grounding, the "stochastic parrots" argument, and concerns about memorization. Our paper has three main upshots. First, LLMs do have robust internal representations. Second, there is an open question to answer about whether LLMs have robust action dispositions. Third, existing skeptical challenges to LLM representation do not survive philosophical scrutiny. (shrink)

The thesis of instrumental convergence holds that a wide range of ends have common means: for instance, self preservation, desire preservation, self improvement, and resource acquisition. Bostrom contends that instrumental convergence gives us reason to think that "the default outcome of the creation of machine superintelligence is existential catastrophe". I use the tools of decision theory to investigate whether this thesis is true. I find that, even if intrinsic desires are randomly selected, instrumental rationality induces biases towards certain (...) kinds of choices. Firstly, a bias towards choices which leave less up to chance. Secondly, a bias towards desire preservation, in line with Bostrom's conjecture. And thirdly, a bias towards choices which afford more choices later on. I do not find biases towards any other of the convergent instrumental means on Bostrom's list. I conclude that the biases induced by instrumental rationality at best weakly support Bostrom's conclusion that machine superintelligence is likely to lead to existential catastrophe. (shrink)

The history of humankind is full of examples that indicate a constant desire to make human beings more moral. Nowadays, technological breakthroughs might have a significant impact on our moral character and abilities. This is the case of Virtual Reality (VR) technologies. The aim of this paper is to consider the ethical aspects of the use of VR in enhancing empathy. First, we will offer an introduction to VR, explaining its fundamental features, devices and concepts. Then, we will approach (...) the characterization of VR as an “empathy machine,” showing why this medium has aroused so much interest and why, nevertheless, we do not believe it is the ideal way to enhance empathy. As an alternative, we will consider fostering empathy-related abilities through virtual embodiment in avatars. In the conclusion, however, we will, we will examine some of the serious concerns related to the ethical relevance of empathy and will defend the philosophical case for a reason-guided empathy, also suggesting specific guidelines for possible future developments of empathy enhancement projects through VR embodied experiences. (shrink)

This work seeks to understand some of the statements of Immanuel Kant on the nature of women and the feminine in his writings in anthropology from a pragmatic point of view. In dealing with the character of sex, Kant presents what, in contemporary language, is called "gender differences" (between men and women, male and female) and develops his main argument for the belief in women's "natural weakness": the preservation of the species. To introduce the theme of gender difference, Kant speaks (...) of "production machines" based on different strength levels and nature's desire. Nature is described as responsible for "female weakness". In a similar way, he claims that the allocation of more or less strength, according to the gender of each individual, has the purpose of allowing for physical, rational, and lasting unions between men and women, for the good of mankind. The focus is on theories of the nature and legal incapacity of women in the eighteenth century resulting, to a great extent, from a long debate among different groups within European society in the previous centuries. This article also discusses some of the literary sources that may have influenced the thinking of Kant on this subject and a possible Kantian stance regarding the role of women in Western society. (shrink)

Artificial intelligence and robotics is pervasive in daily life and set to expand to new levels potentially replacing human decision-making and action. Self-driving cars, home and healthcare robots, and autonomous weapons are some examples. A distinction appears to be emerging between potentially benevolent civilian uses of the technology (eg unmanned aerial vehicles delivering medicines), and potentially malevolent military uses (eg lethal autonomous weapons killing human com- batants). Machine-mediated human interaction challenges the philosophical basis of human existence and ethical conduct. (...) Aside from technical challenges of ensuring ethical conduct in artificial intelligence and robotics, there are moral questions about the desirability of replacing human functions and the human mind with such technology. How will artificial intelligence and robotics engage in moral reasoning in order to act ethically? Is there a need for a new set of moral rules? What happens to human interaction when it is mediated by technology? Should such technology be used to end human life? Who bears responsibility for wrongdoing or harmful conduct by artificial intelligence and robotics? -/- Whilst Kant may be familiar to international lawyers for setting restraints on the use of force and rules for perpetual peace, his foundational work on ethics provides an inclusive moral philosophy for assessing ethical conduct of individuals and states and, thus, is relevant to discussions on the use and development of artificial intelligence and robotics. His philosophy is inclusive because it incorporates justifications for morals and legitimate responses to immoral conduct, and applies to all human agents irrespective of whether they are wrongdoers, unlawful combatants, or unjust enemies. Humans are at the centre of rational thinking, action, and norm-creation so that the rationale for restraints on methods and means of warfare, for example, is based on preserving human dignity as well as ensuring conditions for perpetual peace among states. Unlike utilitarian arguments which favour use of autonomous weapons on the basis of cost-benefit reasoning or the potential to save lives, Kantian ethics establish non-consequentialist and deontological rules which are good in themselves to follow and not dependent on expediency or achieving a greater public good. -/- Kantian ethics make two distinct contributions to the debate. First, they provide a human-centric ethical framework whereby human exist- ence and capacity are at the centre of a norm-creating moral philosophy guiding our understanding of moral conduct. Second, the ultimate aim of Kantian ethics is practical philosophy that is relevant and applicable to achieving moral conduct. -/- I will seek to address the moral questions outlined above by exploring how core elements of Kantian ethics relate to use of artificial intelli- gence and robotics in the civilian and military spheres. Section 2 sets out and examines core elements of Kantian ethics: the categorical imperative; autonomy of the will; rational beings and rational thinking capacity; and human dignity and humanity as an end in itself. Sections 3-7 consider how these core elements apply to artificial intelligence and robotics with discussion of fully autonomous and human-machine rule-generating approaches; types of moral reasoning; the difference be- tween ‘human will’ and ‘machine will’; and respecting human dignity. (shrink)

Recent psychological research shown that the places where we live are linked to our personality traits. Geographical aggregation of personalities has been observed in many individualistic nations; notably, the mountainousness is an essential component in understanding regional variances in personality. Could mountainousness therefore also explain the clustering of personality-types in collectivist countries like China? Using a nationwide survey (29,838 participants) in Mainland China, we investigated the relationship between the Big Five personality traits and mountainousness indicators at the provincial level. Multilevel (...) modelling showed significant negative associations between the elevation coefficient of variation (Elevation CV) and the Big Five personality traits, whereas mean elevation (Elevation Mean) and the standard deviation in elevation (Elevation STD) were positively associated with human personalities. Subsequent machine learning analyses showed that, for example, Elevation Mean outperformed other mountainousness indicators regarding correlations with neuroticism, while Elevation CV performed best relative to openness models. Our results mirror some previous findings, such as the positive association between openness and Elevation STD, while also revealing cultural differences, such as the social desirability of people living in China’s mountainous areas. (shrink)

This paper reframes the issue of appropriation, extraction, and dispossession through AI—an assemblage of machine learning models trained on big data—in terms of enclosure and foreclosure. While enclosures are the product of a well-studied set of operations pertaining to both the constitution of the sovereign State and the primitive accumulation of capital, here, I want to recover an older form of the enclosure operation to then contrast it with foreclosure to better understand the effects of current algorithmic rationality. I (...) argue that the act of enclosing is to be understood as a set of fundamental operations that consist in producing structural distinctions between inside and outside, inclusion and exclusion—whether by drawing lines on a map, constructing border walls, or by algorithmically categorizing and (mis)recognizing people and things. Tracking the transformation of an enclosure-logic into one of foreclosure, I show how current AI perpetuates and at the same time expends forms of extraction, exclusion, and dispossession toward a totalizing horizon. For, while the outside is essential and constitutive to the logic of enclosure, foreclosure, by contrast, is characterized by the “totalizing desire” to not leave anything out of it. The totalizing desire to move beyond the logic of the enclosure forecloses that the enclosure has just gotten bigger and that the operations of exclusion have been masked and displaced, making them harder to contest. (shrink)

According to the 2020 docudrama, The Social Dilemma, our very addiction to “social media” has, today, become encapsulated in the tensions between its facilitation as a mode of interpersonal communication and as an insidious conduit for machine learning, surveillance capitalism and manipulation. Amidst a variety of interviewees – many of whom are former employees of social media companies – the documentary finishes on a unanimous conclusion: something must change. By using the docudrama as a pertinent example of our “social (...) media malaise,” and while remaining aware of the problems and unethical practices encompassing international digital/social media companies, this paper will argue that we continually refrain from the very question(ing) that would call these companies to account: what does the algorithm desire? In approaching this question, this article will draw from Lacan’s ‘hysterical’ position in accordance with Robert Pfaller’s notion of interpassivity. Together, these concepts will be used to provide a psychoanalytic account of how our subjectivization in social media renders an unconscious endorsement that both frames our awareness of the dilemmas encompassing social media, while also positing an inherent limitation that may offer a possible path out of its impeding affects. This subjective ambivalence – delegated yet reluctantly disavowed – offers an opportunity to realign discussions on the lost object of desire (objet a) and its reproduction in social media algorithms. In so doing, the case will be made that an account of interpassivity can help lay bare the hysterical significance underscoring our digital subjectivization. (shrink)

This paper argues that Rousseau’s lawgiver is best thought of as a fictional teacher of peoples. It is fictional as it reflects an idea that is entertained despite its contradictory nature, and it is contradictory in the sense that it describes ‘an undertaking beyond human strength and, to execute it, an authority that amounts to nothing’ (II.7; 192). Rousseau conceives of the social contract as a necessary device for enabling the transferal of individual power to the body politic, for subsuming (...) individual wills under the general will, and for aligning the good of the individual with the common good. For the social contract to be valid, however, it needs to be preceded by a desire to belong to a moral community that can induce people to join willingly, and that will grant legitimacy to the laws established. If the social contract is the machinery that makes the body politic function, the lawgiver is ‘the mechanic who invents the machine’ (II.7; 191). In this paper we will look closer at the pedagogical functions of Rousseau’s mythical lawgiver by first examining the relationship between the social contract, the general will and the lawgiver. Then, we aim to flesh out a pedagogical understanding of the figure of the lawgiver by way of the two educational dimensions of accommodation and transformation. Finally, we will argue for the importance of understanding Rousseau’s lawgiver as a fictional device allowing for the fundamental and enduring educational task of balancing between the preservation and renewal of society. (shrink)

As civil liberties are shredded and powerful corporate and political force engage in a range of legal illegalities, the state itself becomes a model for corruption and violence. Violence has become not only the foundation of corporate sovereignty, it has also become the ideological scaffolding of common sense. Under casino capitalism, the state has become the enemy of justice and offers a prototype for types of misguided rebellion that mimic the lawlessness enshrined by corporate sovereignty and the repressive state apparatuses. (...) Under such circumstances, the force of action does not reside in deliberation, compassion, justice, equality and freedom. The state of exception has become the rule serving to legitimate illegality and normalizing violence and force as the only mediating dynamic worth utilizing to solve problems. In addition, subjectivity itself has become both hyper-masculinized, transformed, and subordinated to the celebration of an aggressive, violent and hyper-competitive war machine. Evidence of the hardening of the culture and the ongoing visibility of a pathological form of hyper-masculinity abounds in polices that amount to a permanent war on the poor, women, immigrants, workers, public servants, Muslims, poor minorities and those adults marginalized by class and race. Casino capitalism's paranoiac and increasingly repressive institutional and ideological apparatuses live in fear of dissent, critical rationality and the possibility of collective struggles moved by the desire for justice and a radical democracy. This is precisely where questions about education and resistance connect to broader debates about producing critical agents capable of acting as engaged and responsible citizens in a substantive democracy. Neoliberalism, as a dominant ideology, changed not only ways of thinking, but, consequently, practices. Evidently, a process of transformation like the one imposed by the hegemony of neoliberal ideology does not take place without resistance-conscious or not-and here it is the role of the State (and its ideological apparatus) in the subjection of individuals. For Fisher, there is no element that shows that the public actually embraced neoliberal doctrines with enthusiasm. For Mark Fisher, capitalist realism is \\\"an expression of class decomposition, and a consequence of class disintegration\\\". The phenomenon resulting from this discontent that finds few ways to express itself that are not individual is named by Mark Fisher as the \\\"privatization of stress\\\", which easily converts into depression and other psychological suffering. Although both its neoliberal and neoconservative components are opposed to bureaucracy in favour of privatised decentralisation, in practice capitalist realism involves the normalisation of bureaucracy and the creation of additional and unnecessary labour. Although pyramidal hierarchies are flattened, the increase and establishment of constant communication through technology has led to people at the same level surveilling each other. (shrink)

Because of its non-representational nature, music has always had familiarity with computational and algorithmic methodologies for automatic composition and performance. Today, AI and computer technology are transforming systems of automatic music production from passive means within musical creative processes into ever more autonomous active collaborators of human musicians. This raises a large number of interrelated questions both about the theoretical problems of artificial musical creativity and about its ethical consequences. Considering two of the most urgent ethical problems of Musical AI (...) (music job replacement and machine musical authorship), we show in this essay the strict dependence of every form of acknowledgment of a moral and legal status to systems of automatic music production from the theoretical account of musical creativity by turns implicitly or explicitly adopted, arguing, on the basis of pragmatic reasons, for the necessity and the desirability of this acknowledgment. (shrink)

The tendency to idealise artificial intelligence as independent from human manipulators, combined with the growing ontological entanglement of humans and digital machines, has created an “anthrobotic” horizon, in which data analytics, statistics and probabilities throw our agential power into question. How can we avoid the consequences of a reified definition of intelligence as universal operation becoming imposed upon our destinies? It is here argued that the fantasised autonomy of automated intelligence presents a contradistinctive opportunity for philosophical consciousness to understand itself (...) anew as holistic and co-creative, beyond the recent “analytic” moment of the history of philosophy. Here we introduce the concept of “crealectic intelligence”, a meta-analytic and meta-dialectic aspect of consciousness. Intelligent behaviour may consist in distinguishing discrete familiar parts or reproducible functions in the midst of noise via an analytic process of segmentation; intelligence may also manifest itself in the constitution of larger wholes and dynamic unities through a dialectic process of association or assemblage. But, by contrast, crealectic intelligence co-creates realities in the image of an ideal or truth, taking into account the desiring agent imbued with a sense of possibility, in a relationship not only with the Real but also with the creative sublime or “Creal”. (shrink)

The scope of the essay is limited by the ideas behind the mechanisation of desire as conceptualised in The Large Glass by Marcel Duchamp. This glass-based installation depicts a convoluted mechanism, as the full-title of the work suggests, representing The Bride Stripped Bare by her Bachelors, Even. Using tropes and figures from his earlier studies, the artist designed a machine for the production of desire, rendering the unconscious mechanical and dynamic. The paper aims to present selected aspects (...) of the installation, including mechanical reproduction (1), technological fetishism (2), transparency (3), as well as to discuss its significance with reference to Deleuze and Guattari’s concept of the Body without Organs (4). The interpretive force of the machine metaphor in the work of Duchamp is analysed in the context of integrative and non-integrative attitudes to technology. (shrink)

An interview by Alex Thomson of UKColumn on Landgrebe and Smith's book: Why Machines Will Never Rule the World. The subtitle of the book is Artificial Intelligence Without Fear, and the interview begins with the question of the supposedly imminent takeover of one profession or the other by artificial intelligence. Is there truly reason to be afraid that you will lose your job? The interview itself is titled 'Where this is no will there is no way', drawing on one thesis (...) of the book to the effect that there will never be anything like the human will on the part of a machine. This is for mathematical reasons. AI is always and in every case a matter of algorithms; thus of applied mathematics. And algorithms are not the sorts of things that can want or desire or intend to do something. It is the human will of those who work at OpenAI or google or microsoft which have given rise to the new shiny objects of AI (ChatGPT and other Large Language Models). And it is the human will of the users of these shiny objects which gives them the resources and power to work their apparent miracles. (shrink)

The Frame Problem is the problem of how one can design a machine to use information so as to behave competently, with respect to the kinds of tasks a genuinely intelligent agent can reliably, effectively perform. I will argue that the way the Frame Problem is standardly interpreted, and so the strategies considered for attempting to solve it, must be updated. We must replace overly simplistic and reductionist assumptions with more sophisticated and plausible ones. In particular, the standard interpretation (...) assumes that mental processes are identical to certain kinds of computational processes, and so solving the Frame Problem is a matter of finding a computational architecture that can effectively represent relations of semantic relevance. Instead, we must take seriously the possibility that the way in which intelligent agents use information is inherently different. Whereas intelligent agents are plausibly genuinely causally sensitive to semantic properties as such (to what they perceive, desire, believe intend, etc.), computational systems can only be causally sensitive to the formal features that represent these properties. Indeed, it is this very substitution of formal generalizations for genuinely semantic ones that is responsible for the way current AI systems are brittle, inflexible, and highly specialized. What we need is a more sophisticated way of investigating the relationship between computational information processing and genuinely semantic information use, so that these two senses of using information are not conflated, but instead the question of how they are related to one another can be studied directly. I apply the generative methodology I have developed elsewhere for cognitive science and AI research (Miracchi, 2017, 2019a) to show how the Frame Problem can be appropriately updated. (shrink)

In recent years, with the advances in machine learning and neuroscience, the abundances of sensors and emotion data, computer engineers have started to endow machines with ability to detect, classify, and interact with human emotions. Emotional artificial intelligence (AI), also known as a more technical term in affective computing, is increasingly more prevalent in our daily life as it is embedded in many applications in our mobile devices as well as in physical spaces. Critically, emotional AI systems have not (...) only the ability to not passively read and classify emotions, but most also have an ability to predict and ‘nudge’ users to certain desired emotional states. Drawing from Piredda (2020)’s account on affective artifacts and other recent accounts, we've examined various emerging emotion-sensing technologies such as recommender algorithms, personal AI assistants, work-related emotion trackers, and emotional AI toys and robots through the lens of affective artifacts. We show how these technologies fulfill the criteria of being affective artifacts: they are artifactual, multifunctional, semi-agentive, and semi-interpesonal. Emotional AI systems as affective artifacts can influence the affective states of the users (e.g., help regulate emotions of ourselves and others), and importantly, our manipulation of these algorithms can intersect with the maintenance and construction of our sense of self and identity. (shrink)

This article pursues the exploration of how contemporary works of deconstruction can challenge preconceptions of the body and embodiments and interrogate their limits, particularly in relation to intertwined foldings of desire, gender, race and sexuality. Through readings of Jacques Derrida and Sarah Kofman, the authors show that deconstruction allows for an understanding of the body or bodies that goes beyond the present body — indexed as human, male, white, able, living body — thus opening up towards the thinking of (...) bodies and corporealities exceeding the limitations of Christian transsubstantiation and of the Eucharist. The deconstructive body is not one of communion; it is one of (self-)interruption, différance and non-presence. It is the other's body — or the body as otherly. The authors then analyse the ethical-political implications of this thinking of another body, one inassimilable by Western metaphysics, and marked by incalculable sexual differences, animality, undecidable life-death, machinicity, monstrosity, and so on. (shrink)

In the fifth version of our reply article [26] to Imamura's critique, we recall that Neutrosophic Non-Standard Logic was never used by the neutrosophic community in any application, that the quarter-century old (1995-1998) neutrosophic operators criticized by Imamura were never used as they were improved soon after, but omits to talk about their development, and that in real-world applications we need to convert/approximate the hyperreals, monads and bi-nads of Non-Standard Analysis to tiny intervals with the desired precision; otherwise they would (...) be inapplicable. We pointed out several errors and false statements by Imamura [21] regarding the inf/sup of nonstandard subsets, also Imamura's "rigorous definition of neutrosophic logic" is incorrect, as is his definition of nonstandard unit interval, and we showed that there is no total order in Neutrosophic Computing and Machine Learning , Vol. 23, 2022 Florentin Smarandache, Definición mejorada de la lógica neutrosófica no estándar e introducción a los hiperreales neutrosóficos (Quinta versión) 2 the set of hyperreals (due to the recently introduced Neutrosophic Hyperreals which are indeterminate), so the Transfer Principle from R to R* is questionable. After his critique, several reply posts on non-standard theoretical neutrosophy followed in 2018-2022. As such, I extended the Nonstandard Analysis by adding the right-closed left monad, the left-closed right monad, the punctured binad (which we introduced in 1998), and the nonpunctured binad - all in order to close the newly extended nonstandard space (R*) under nonstandard addition, nonstandard subtraction, nonstandard multiplication, nonstandard division, and nonstandard power operations [23, 24]. Improved definitions of the Nonstandard Unitary Interval and Nonstandard Neutrosophic Logic are presented, along with Nonstandard Neutrosophic Operators. (shrink)

« Voici un livre vif, intelligent, nullement béni-oui-oui. Avec Lacan, il démontre que le capitalisme est une machine à faire jouir massivement. Ce qui s'obtient n'est pas pour autant une jouissance toute, mais seulement des lichettes. La jouissance demeurera toujours tonneau des Danaïdes. » Hervé Castanet, professeur des universités, psychanalyste, membre de l'école de la Cause freudienne. -/- Partout la qualité de vie prend la forme d'une quantité d'envies. Le nouveau monde oscille entre deux versants d'une même pièce de (...) théâtre : côté cour, des passages à l'acte obscènes ; côté coulisses, un puritanisme coupable. Pouvons-nous nous comporter autrement que comme des machines à jouir détraquées, dont le courant alternatif oscillerait entre avidité et rétention, gaspillage et dette ? Beaucoup se demandent pourquoi, une fois réunies les conditions imaginaires ou symboliques de la jouissance, c'est un réel vide ou perverti qui s'installe. C'est que la mécanique même de l'économie libidinale capitaliste repose sur l'angoisse sans cesse repoussée d'un désir dévoyé. Dans un monde globalement structuré par la plus-value, la jouissance prend la forme internationale du « plus-de-jouir ». -/- Faut-il pour autant renoncer à la joie de vivre et se réfugier dans le moralisme et l'austérité ? Lacan, Heidegger et Marx, articulés ensemble, permettent de dire comment une forme d'existence créative est encore possible. Une telle liberté est l'horizon de ce livre. (shrink)

Following Quine [] and others we take deductions to produce knowledge of implications: a person gains knowledge that a given premise-set implies a given conclusion by deducing—producing a deduction of—the conclusion from those premises. How does this happen? How does a person recognize their desire for that knowledge of a certain implication, or that they lack it? How do they produce a suitable deduction? And most importantly, how does their production of that deduction provide them with knowledge of the (...) implication. What experienceable sign reveals to the reasoner that they achieved the desired knowledge? If a deduction is an array of inscriptions constructed by following syntactical—mechanical, machine-performable—rules as suggested by Tarski, Carnap, Church, and others, the epistemic question becomes even more pressing and more challenging. Moreover, deduction, the ability to produce deductions and to recognize them when produced, is operational knowledge that presupposes other component operations such as recognizing characters, making assumptions, inferring conclusions from premises, chaining inferences [AL]. (shrink)

This eighth book of the author on gambling math presents in accessible terms the cold mathematics behind the sparkling slot machines, either physical or virtual. It contains all the mathematical facts grounding the configuration, functionality, outcome, and profits of the slot games. Therefore, it is not a so-called how-to-win book, but a complete, rigorous mathematical guide for the slot player and also for game producers, being unique in this respect. As it is primarily addressed to the slot player, its goal (...) is to present practical applications of the mathematical models of slot games, in order to provide numerical results that a player can use as criteria for gaming decisions or just as information for any slot game and any predicted winning event. These results are focused on probability and expected value, these being the most important parameters for decisional criteria in slots. The book is packed with plenty of figures, tables, and formulas. The content is organized so that readers can skip the theoretical parts and go picking the practical results (numerical, in tables of values where possible, or ready-to-compute formulas) for the desired situation. The practical results are gathered in the last chapter, titled "Practical Applications and Numerical Results," the largest part of the book, for the most popular categories of slot machines, namely with 3, 5, 9, and 16 reels. Any other category of slot games is covered in the theoretical part of the book, where the general formulas apply not only to existing slot games, but also to possible future slot games of any design and configuration. The author does not just throw the slot mathematics to the audience and run away, but offers an ultimate practical contribution with the chapter "How to estimate the number of stops and the symbol distribution on a reel", a surprise for both players and producers, where one can see that mathematics provides players with some statistical methods as well as methods based on physical measurements for retrieving these missing data. Having these data along with the mathematical results of this book, anyone can generate the PAR sheet of any slot machine. In the last decade, mathematics has been taken more and more seriously into account in gaming, as being the essence that governs the games of chance and the only rigorous tool providing information on optimal play, where possible. For the popular game of slots, mathematics already fulfilled its duty by providing all the data that it can provide and that cannot be found on the display of the slot machines - it is all here in this book. (shrink)

We all know that problems of transportation and allocation appear frequently in practical life. We need to transfer materials from production centers to consumption centers to secure the areas’ need for the transported material or allocate machines or people to do a specific job at the lowest cost, or in the shortest time. We know that the cost factors Time is one of the most important factors that decision-makers care about because it plays an “important” role in many of the (...) practical and scientific issues that we face in our daily lives, and we need careful study to enable us to avoid losses. For this, the linear programming method was used, which is one of the research methods. Processes, where the problem data is converted into a linear mathematical model for which the optimal solution achieves the desired goal. Since these models are linear models, we can solve them using the direct simplex method and its modifications, but the specificity that these models enjoy has enabled scholars and researchers to find special methods that help us in obtaining the optimal solution. Whatever the method used, the goal is to determine the number of units transferred from any material from production centers to consumption centers, or to allocate a machine or person to do a job so that the cost or time is as short as possible. These issues were addressed according to classical logic, but the ideal solution was a specific value appropriate to the conditions in which the data was collected and does not take into account the changes that may occur in the work environment. In order to obtain results that are more accurate and enjoy a margin of freedom, we present in this book a study of transport issues and neutrosophic allocation issues and some methods for solving them. By neutrosophic issues we mean These are the problems in which the data are neutrosophic values, i.e. the required quantities and the available quantities. (shrink)

Democracy is widely praised as a great achievement of humanity. However, in recent years there has been an increasing amount of concern that its functioning across the world may be eroding. In response, efforts to combat such change are emerging. Considering the pervasiveness of technology and its increasing capabilities, it is no surprise that there has been much focus on the use of artificial intelligence (AI) to this end. Questions as to how AI can be best utilized to extend the (...) reach of democracy to currently non-democratic countries, how the involvement in the democratic process of certain demographic groups (e.g. ethnic minorities, women, and young people) can be increased, etc. are frequent topics of discussion. In this article I would like not merely to question whether this is desirable but rather argue that we should be trying to envisage ways of using AI for the exact opposite purpose: that of replacing democratic systems with better alternatives. (shrink)

Applications and devices of artificial intelligence are increasingly common in the healthcare field. Robots fulfilling some caregiving functions are not a distant future. In this scenario, we must ask ourselves if it is possible for machines to care to the extent of completely replacing human care and if such replacement, if possible, is desirable. In this paper, I argue that caregiving requires know-how permeated by affectivity that is far from being achieved by currently available machines. I also maintain that the (...) complete substitution of machine caregiving for human caregiving is not desirable because caregiving requires genuine human connection. (shrink)

We propose the concepts of philomatics and psychomatics as hybrid combinations of philosophy and psychology with mathematics. We explain four motivations for this combination which are fulfilling the desire of analytical philosophy, proposing science of philosophy, justifying mathematical algorithms by philosophy, and abstraction in both philosophy and mathematics. We enumerate various examples for philomatics and psychomatics, some of which are explained in more depth. The first example is the analysis of relation between the context principle, semantic holism, and the (...) usage theory of meaning with the attention mechanism in mathematics. The other example is on the relations of Plato's theory of forms in philosophy with the holographic principle in string theory, object-oriented programming, and machine learning. Finally, the relation between Wittgenstein's family resemblance and clustering in mathematics is explained. This paper opens the door of research for combining philosophy and psychology with mathematics. (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)

The question of our place in nature has long been with us. One answer lies in comparing humans with other animals , thereby highlighting the uniquely human. To this end, I examine the distinction between humans and brutes as delineated by Descartes, Kant, and the Chicago pragmatist George Mead. This selection not merely assures a wide-spectrum of opinion still alive today, it marks a general historical shift from the metaphysical dualism of Descartes' mechanical world and spiritual self, to the epistemic (...) dualism of Kant and his double sense of self, finally to Mead's naturalistic monism, in which consciousness emerges naturally from the non-conscious. Apart from illuminating issues current in the animal-rights literature, examining this single topic casts a new light on these figures, especially Kant and Mead . Descartes' dualism is understandable simply given his scientific commitments, and the chasm he found in the human/brute gap was as much a result of this scientific motivation as any religious or moral one. For Kant, brutes lack the power to judge, understand, or reason. But more importantly, they lack autonomy and are therefore without moral worth. The unbridgeable chasm, metaphysical for Descartes, became for Kant primarily moral. Brutes do have representations and desires, however, and, by virtue of being alive, an immaterial principle; Kant consequently rejected Descartes' animal-machine hypothesis. Darwin's account of the human/brute gap and Mead's Darwinistic psychology are discussed. Selfhood and consciousness are unique to humans, although brutes are conscious in another sense. Mead's different uses of 'consciousness' are separated in order to clarify this difference as well as the role of language in the emergence of mind. Mead argued that humans perceive social objects prior to physical objects while brutes perceive none of these, lacking the capacities of universalization and object-manipulation. Like Descartes and Kant, Mead minimized brute experience, thereby maintaining a wide gulf between humans and brutes despite his Darwinian naturalism. (shrink)