L'informatique se définissant comme le traitement rationnel de l'information par machine automatique et l'intelligence se caractérisant par une même capacité de traitement rationnel, il était inévitable que l'on songe à associer l'intelligence au traitement automatique de l'information. C'est ce qu'a fait John McCarthy en forgeant le terme d'intelligence artificielle. Par «intelligence artificielle» on peut vouloir exprimer l'ambition de1. Recréer, transformer ou développer l'intelligence artificiellement2. Simuler l'intelligence en la reconstituant dans des modéles imitant certains aspects de notre intelligence dite naturelle.

After the setbacks suffered in the 1970s as a result of the ‘Lighthill Report’ (Lighthill, 1973), the science of Artificial Intelligence (AI) has undergone a dramatic revival of fortunes in the 1980s. But despite the obvious enormity and complexity of the problems tackled by AI, it still remains rather parochial in relation to the import of alternative though potentially fruitful ideas from other disciplines. With this in mind, the aim of the present paper is to utilise ideas from the sociology (...) of science in order to explore some current issues in AI and, in particular, the branch of expert systems.It is argued that the sociology of sciences shares a common focus of enquiry along with AI — namely, the nature of knowledge — and has a role to play in the understanding, design and future development of expert systems. (shrink)

A response to a recent critique by Cem Bozşahin of the theory of syntactic semantics as it applies to Helen Keller, and some applications of the theory to the philosophy of computer science.

Purpose. The research is aimed at finding out the grounds, forms and essence of the correlation between the projects of information philosophy and transhumanism from the point of view of the problematics of philosophical anthropology. Attention is focused on the status of the knowing subject and the transformations of the forms of its activity within the specified correlation. Theoretical basis. Insufficient thinking on the issue of the functioning of traditional cognitive models, in particular Kant’s transcendental questioning, which formed the basis (...) of modern rationality and classical science, in the new sociocultural reality led the authors to problematize the forms and essence of interaction and operating with knowledge and communication in the information sphere of human existence and communication. A comparative consideration of the worldviews in the information philosophy and transhumanism projects, made on the basis of a study of current scientific literature, provided an opportunity to assume the probability of implicit elimination of the problems of philosophical anthropology from the horizon of meanings of modern science through the blurring of essentially anthropological analytics. Originality. The article proves the ambivalent nature of the correlation between the projects of philosophy and transhumanism information that are externally close on the subject and problematics, and for the first time in the domestic literature, they have been compared. The content of the powerful potential of information philosophy for the development of philosophical anthropology approaches to the phenomena of the human world determined by the technological nature of civilization and the powerful sociocultural issues of modernity have been clarified. The threats of the dehumanization of the problem field in the modern science and spheres of applied digital technologies associated with transhumanism, interpreted as an ideology, are underlined. Conclusions. The analysis of theoretical positions relevant for the philosophy of information and transhumanism resulted in a number of conclusions, central among which is the statement of the "blurring" situation, the hidden elimination in the content of problematics of philosophical anthropology and its humanistic pathos within the limits of modern forms of correlation and existence in the scientific discourse of the philosophemes and ideologemes in the information philosophy and transhumanism. Epistemological phenomena of "cognitive closure" and a man as a "blind spot" in the thinking on the science and technology development, primarily communication, indicate the relevance of a full comprehensive consideration of the problems of philosophical anthropology in projects of the information philosophy and transhumanism. (shrink)

Tracing the leading role of emotions in the evolution of the mind, a philosopher and a psychologist pair up to reveal how thought and culture owe less to our faculty for reason than to our capacity to feel. Many accounts of the human mind concentrate on the brain’s computational power. Yet, in evolutionary terms, rational cognition emerged only the day before yesterday. For nearly 200 million years before humans developed a capacity to reason, the emotional centers of the brain were (...) hard at work. If we want to properly understand the evolution of the mind, we must explore this more primal capability that we share with other animals: the power to feel. Emotions saturate every thought and perception with the weight of feelings. The Emotional Mind reveals that many of the distinctive behaviors and social structures of our species are best discerned through the lens of emotions. Even the roots of so much that makes us uniquely human—art, mythology, religion—can be traced to feelings of caring, longing, fear, loneliness, awe, rage, lust, playfulness, and more. From prehistoric cave art to the songs of Hank Williams, Stephen T. Asma and Rami Gabriel explore how the evolution of the emotional mind stimulated our species’ cultural expression in all its rich variety. Bringing together insights and data from philosophy, biology, anthropology, neuroscience, and psychology, The Emotional Mind offers a new paradigm for understanding what it is that makes us so unique. (shrink)

A comprehensive introduction to the Language of Though Hypothesis (LOTH) accessible to general audiences. LOTH is an empirical thesis about thought and thinking. For their explication, it postulates a physically realized system of representations that have a combinatorial syntax (and semantics) such that operations on representations are causally sensitive only to the syntactic properties of representations. According to LOTH, thought is, roughly, the tokening of a representation that has a syntactic (constituent) structure with an appropriate semantics. Thinking thus consists in (...) syntactic operations defined over representations. Most of the arguments for LOTH derive their strength from their ability to explain certain empirical phenomena like productivity, systematicity of thought and thinking. (shrink)

Fodor advocates a view of cognitive processes as computations defined over the language of thought (or Mentalese). Even among those who endorse Mentalese, considerable controversy surrounds its representational format. What semantically relevant structure should scientific psychology attribute to Mentalese symbols? Researchers commonly emphasize logical structure, akin to that displayed by predicate calculus sentences. To counteract this tendency, I discuss computational models of navigation drawn from probabilistic robotics. These models involve computations defined over cognitive maps, which have geometric rather than logical (...) structure. They thereby demonstrate the possibility of rational cognitive processes in an exclusively non-logical representational medium. Furthermore, they offer much promise for the empirical study of animal navigation. (shrink)

This article discusses the philosophical relevance of recent computational work on inductive inference being conducted in the rapidly growing branch of artificial intelligence called machine learning.

This is not a scholarly research paper, but a ‘position paper’ outlining an approach to the study of mind which has been gradually evolving since about 1969 when I first become acquainted with work in Artificial Intelligence through Max Clowes. I shall try to show why it is more fruitful to construe the mind as a control system than as a computational system.

Julia Rosenak; Should Children be Subject to Paternalistic Restrictions on their Liberties?, Journal of Philosophy of Education, Volume 16, Issue 1, 30 May 2006.

Inspired by Bermúdez’s notion of proto-logic, I would like to fathom what the true proto-logic could be like. But this will be approached only in a negative way of figuring out what it could not be. I shall argue that it could not be purely deductive by exploiting the recent researches in logic of maps. This will allow us to reorient the search for proto-logic, starting with animal abduction. I will also suggest that proto-logic won’t get off the ground without (...) proto-geometry. These negative results will shed some lights on some further conceptual and historical issues around the language of thought hypothesis to arrive at the true proto-logic. (shrink)

In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...) to show how modeling has progressed over the years. The methodological assumptions of new modeling work are best understood in the mechanistic framework, which is evidenced by the way in which models are empirically validated. Moreover, the methodological and theoretical progress in computational neuroscience vindicates the new mechanistic approach to explanation, which, at the same time, justifies the best practices of computational modeling. Overall, computational modeling is deservedly successful in cognitive science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay, it becomes stronger every year. (shrink)

Terms like “norm,” “custom,” “convention,” “tradition,” and “culture” are used throughout social science, and throughout everyday conversation, to describe certain types of behaviors. Yet it is not very clear what people mean by them. In this paper, I try to make clearer what is meant by these terms and what makes the behavior they describe possible.

Terms like “norm,” “custom,” “convention,” “tradition,” and “culture” are used throughout social science, and throughout everyday conversation, to describe certain types of behaviors. Yet it is not very clear what people mean by them. In this paper, I try to make clearer what is meant by these terms and what makes the behavior they describe possible.

In this paper, we focus on the development of geometric cognition. We argue that to understand how geometric cognition has been constituted, one must appreciate not only individual cognitive factors, such as phylogenetically ancient and ontogenetically early core cognitive systems, but also the social history of the spread and use of cognitive artifacts. In particular, we show that the development of Greek mathematics, enshrined in Euclid’s Elements, was driven by the use of two tightly intertwined cognitive artifacts: the use of (...) lettered diagrams; and the creation of linguistic formulae. Together, these artifacts formed the professional language of geometry. In this respect, the case of Greek geometry clearly shows that explanations of geometric reasoning have to go beyond the confines of methodological individualism to account for how the distributed practice of artifact use has stabilized over time. This practice, as we suggest, has also contributed heavily to the understanding of what mathematical proof is; classically, it has been assumed that proofs are not merely deductively correct but also remain invariant over various individuals sharing the same cognitive practice. Cognitive artifacts in Greek geometry constrained the repertoire of admissible inferential operations, which made these proofs inter-subjectively testable and compelling. By focusing on the cognitive operations on artifacts, we also stress that mental mechanisms that contribute to these operations are still poorly understood, in contrast to those mechanisms which drive symbolic logical inference. (shrink)

This paper outlines and discusses the relative merits and problems of two current interpretations of Philosophy of Information (PI), the metaphysical approach and the analytical approach. The paper argues that both approaches complement one another, being normative and mutually compatible.

Philosophers since the ancient Greeks have investigated the nature of different kinds of inference. Although deductive inference in the form of Aristotelian syllogisms and Fregean formal logic has predominated, much attention has also been paid to induction, inference where the conclusion does not follow necessarily from the premises.

This position paper presents the beginnings of a general theory of representations starting from the notion that an intelligent agent is essentially a control system with multiple control states, many of which contain information (both factual and non-factual), albeit not necessarily in a propositional form. The paper attempts to give a general characterisation of the notion of the syntax of an information store, in terms of types of variation the relevant mechanisms can cope with. Similarly concepts of semantics pragmatics and (...) inference are generalised to apply to information-bearing sub-states in control systems. A number of common but incorrect notions about representation are criticised (such as that pictures are in some way isomorphic with what they represent). (shrink)

This study is an intervention in postcolonial theorising through a critique of technologies of representation. It examines the effects of technologically-mediated representation in a postcolonial condition that the Philippines has exemplified. New media technologies are mechanisms of representations that embody the logic of spectrality presented in Jacques Derrida’s later work. Spectrality, which brings doubts, ephemerality, and instability to dominant discourses and modes of representation, provides a chance for change.Spectres are effects of technologically-mediated representation that articulate the infinite demand for justice (...) under conditions of enduring inequality. As quasi-transcendental elements of deconstruction, spectres are not reducible to either human or technical intervention; they express the relation of humans to technologies, in which representation is central to the mediation of political authority. This technological representation is the condition of what Derrida calls “iteration,” or the transformation of hegemonic authority through the very repetition of its fundamental terms of identification. The examination of emancipatory new media technologies in a postcolonial condition is inspired by the work of Jacques Derrida, in his deconstructive reading of Marx’s spectres. However, the writings of Habermas and Adorno have offered an implicit appraisal of the ontology of spectres. Habermas’s theory of the public sphere and Adorno’s negative dialectics are discourses that unwittingly solicit spectres. The account of the postcolonial condition in the Philippines works through the questions of universality, subalternity, and the right to theory that are raised by the project of Western critical theory. (shrink)

Eliminative functionalism is the view that mental attributes, of humans and other machines, consist ultimately in behavioural abilities or dispositions. Hence, ‘Strong AI’: if a machine consistently acts as if it were fully conscious, then conscious it is. From these assumptions, optimistic futurists have derived a variety of remarkable visions of our ‘post-human’ future; from widely-recognised ‘robot rights’ to ‘mind uploading’, immortality, ‘apotheosis’ and beyond. It is argued here, however, that eliminative functionalism is false; for at least on our present (...) knowledge, the subjectively qualitative characteristics of conscious experience are neither deducible from, nor logically required to generate, the performance of any sort of overtly ‘intelligent’, or indeed, characteristically human behaviour. Thus, a machine could easily be designed to report awareness of phenomenal qualities, without necessarily possessing them; and Alan Turing’s ‘Imitation Game’ test for artificial thinking is unable to determine whether or not a machine is sentient. An alternative test is proposed, in which the machine is asked phenomenological questions under conditions designed to detect any form of cheating—whilst also, potentially revealing evidence for the occurrence of genuine qualitative experience. (shrink)

It would be hard to find a more fervent advocate of the position that computers are of profound significance to philosophy than Aaron Sloman. Yet, he is not a stereotypical proponent of Artificial Intelligence (AI). Far from it; in his writings, he undermines several popular convictions of functionalists. Through his drafts and polemics, Sloman definitely exerts quite substantial influence on the philosophy of Artificial Intelligence. Sloman's paper “Evolution: The Computer Systems Engineer Designing Minds” presents a bold hypothesis that the evolution (...) of the human mind actually involved the development of a several dozen of virtual machines that support various forms of self-monitoring. This, in turn, helps explain different features of our cognitive functioning. (shrink)