The objective of this paper is to provide critical analysis of the Kantian notion of freedom ; its significance in the contemporary debate on free-will and determinism, and the possibility of autonomy of artificial agency in the Kantian paradigm of autonomy. Kant's resolution of the third antinomy by positing the ground in the noumenal self resolves the problem of antinomies; however, it invites an explanatory gap between phenomenality and the noumenal self; even if he has successfully established the compatibility of (...) natural causality and non-natural causality through his transcendental argument. This paper is also devoted to establishing the plausibility of the knowledge claim that Kantian reduction of phenomenality has served half of the purpose of the AI scientists on the possibility of Artificial Autonomous Agency. (shrink)

This is an amended version of material that first appeared in A. Clark, Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing (MIT Press, Cambridge, MA, 1989), Ch. 1, 2, and 6. It appears in German translation in Metzinger,T (Ed) DAS LEIB-SEELE-PROBLEM IN DER ZWEITEN HELFTE DES 20 JAHRHUNDERTS (Frankfurt am Main: Suhrkamp. 1999).

In this paper, we defend two main claims. The first is a moderate claim: we have a negative duty to not use binary gender-specific pronouns he or she to refer to genderqueer individuals. We defend this with an argument by analogy. It was gravely wrong for Mark Latham to refer to Catherine McGregor, a transgender woman, using the pronoun he; we argue that such cases of misgendering are morally analogous to referring to Angel Haze, who identifies as genderqueer, as he (...) or she. The second is a radical claim: we have a negative duty to not use any gender-specific pronouns to refer to anyone, regardless of their gender identity. We offer three arguments in favor of this claim (which appeal to concerns about inegalitarianism and risk, invasions of privacy, and reinforcing essentialist ideologies). We also show why the radical claim is compatible with the moderate claim. Before concluding, we examine common concerns about incorporating either they or a neologism such as ze as a third-person singular gender-neutral pronoun. These concerns, we argue, do not provide sufficient reason to reject either the moderate or radical claim. (shrink)

The human imagination remains one of the last uncharted terrains of the mind. People often imagine how events might have turned out something had been different. The of reality, those aspects more readily changed, indicate that counterfactual thoughts are guided by the same principles as rational thoughts. In the past, rationality and imagination have been viewed as opposites. But research has shown that rational thought is more imaginative than cognitive scientists had supposed. In The Rational Imagination, I argue that imaginative (...) thought is more rational than scientists have imagined. People exhibit remarkable similarities in the sorts of things they change in their mental representation of reality when they imagine how the facts could have turned out differently. For example, they tend to imagine alternatives to actions rather than inactions, events within their control rather than those beyond their control, and socially unacceptable events rather than acceptable ones. Their thoughts about how an event might have turned out differently lead them to judge that a strong causal relation exists between an antecedent event and the outcome, and their thoughts about how an event might have turned out the same lead them to judge that a weaker causal relation exists. In a simple temporal sequence, people tend to imagine alternatives to the most recent event. The central claim in the book is that counterfactual thoughts are organised along the same principles as rational thought. The idea that the counterfactual imagination is rational depends on three steps: (1) humans are capable of rational thought; (2) they make inferences by thinking about possibilities; and (3) their counterfactual thoughts rely on thinking about possibilities, just as rational thoughts do. The sorts of possibilities that people envisage explain the mutability of certain aspects of mental representations and the immutability of other aspects. (shrink)

In this paper I shall compare two models of concept formation, both inspired by basic convictions of philosophical empiricism. The first, the connectionist model, will be exemplified by Kohonen maps, and the second will be my own dynamic theory of concept formation. Both can be understood in probabilistic terms, both use a notion of convergence or stabilization in modelling how concepts are built up. Both admit destabilization of concepts and conceptual change. Both do not use a notion of representation in (...) some pregiven language, such as a language of thought or some logical language. Representation in a formal language only plays a role on the meta-level, namely within the theory about concept formation. (shrink)

Humanity has thrown everything we have at implacable luck—novel theologies, entire philosophical movements, fresh branches of mathematics—and yet we seem to have gained only the smallest edge on the power of fortune. The Myth of Luck tells us why we have been fighting an unconquerable foe. Taking us on a guided tour of one of our oldest concepts, we begin in ancient Greece and Rome, considering how Plato, Plutarch, and the Stoics understood luck, before entering the theoretical world of probability (...) and exploring how luck relates to theology, sports, ethics, gambling, knowledge, and present-day psychology. As we travel across traditions, times and cultures, we come to realize that it’s not that as soon as we solve one philosophical problem with luck that two more appear, like heads on a hydra, but rather that the monster is altogether mythological. We cannot master luck because there is nothing to defeat: luck is no more than a persistent and troubling illusion. By introducing us to compelling arguments and convincing reasons that explain why there is no such thing as luck, we finally see why in a very real sense we make our own luck, that luck is our own doing. The Myth of Luck helps us to regain our own agency in the world - telling the entertaining story of the philosophy and history of luck along the way. (shrink)

An account of analogical characterization is developed in which the following things are claimed.(1) Analogical predications are irreflexive, asymmetrical, atransitive and non-inversive. (2) Analogies A and B share role-similarity descriptions sufficiently abstract to overcome the differences between A and B. Analogies pivot on the point of limited similarity and substantial, even radical, difference. (3) The semantical theory for sentences making analogical attributions requires a distinction between (sentential) meaning as truth conditions and (sentential) meaning as a functional compound of the meanings (...) of contained lexical items. Analogical sentences possess both kinds of meaning. They are true via their truth conditions and would be false via their lexical meanings. The distinctive feature of the lexical meaning of analogical sentences is the tightness of constraints on closure. The implications of analogical sentences, given their lexical meanings, though there, aren't drawn. It is in this sense that analogies are made and not found. (shrink)

Mental representations have continuous as well as discrete, combinatorial properties. For example, while predominantly discrete, phonological representations also vary continuously; this is reflected by gradient effects in instrumental studies of speech production. Can an integrated theoretical framework address both aspects of structure? The framework we introduce here, Gradient Symbol Processing, characterizes the emergence of grammatical macrostructure from the Parallel Distributed Processing microstructure (McClelland, Rumelhart, & The PDP Research Group, 1986) of language processing. The mental representations that emerge, Distributed Symbol Systems, (...) have both combinatorial and gradient structure. They are processed through Subsymbolic Optimization–Quantization, in which an optimization process favoring representations that satisfy well-formedness constraints operates in parallel with a distributed quantization process favoring discrete symbolic structures. We apply a particular instantiation of this framework, λ-Diffusion Theory, to phonological production. Simulations of the resulting model suggest that Gradient Symbol Processing offers a way to unify accounts of grammatical competence with both discrete and continuous patterns in language performance. (shrink)

Drawing on philosophy, theology, comparative religion, spirituality, Holocaust studies, physics, biology, psychology, and personal experience, I argue that continued human existence depends on our willingness to reject nihilism–not as an expedient “noble lie” but because faith in a meaningful cosmos and the power of love is at least as validly grounded in human experience as insistence on cosmic indifference and ultimate futility. I maintain that hope will free us to develop nonimperialistic methods of bridging cultural differences by forming a mutually (...) intelligible vocabulary that celebrates diversity, enters the worlds of others in respectful dialogue, and fosters a postmechanistic, organic, ecological, holistic, dynamic, interactive, open‐ended model of reality. I lay the foundation for a “hermeneutics of love” to complement Paul Ricoeur's “hermeneutics of suspicion” and invite speculation on the ways science, technology, and society would be transformed if those “glasses of friendship” were widely applied. (shrink)

A common framing has it that any adequate treatment of quotation has to abandon one of the following three principles: (i) The quoted expression is a syntactic constituent of the quote phrase; (ii) If two expressions are derived by applying the same syntactic rule to a sequence of synonymous expressions, then they are synonymous; (iii) The language contains synonymous but distinct expressions. In the following, a formal syntax and semantics will be provided for a quotational language which adheres to all (...) three principles. The point here is not merely to provide a “possibility proof”, but to reveal the hard constraints on the theory of quotation, and to highlight certain assumptions at the syntax/semantics/post-semantics interfaces. (shrink)

Over the last fifteen years, an ambitious explanatory framework has been proposed to unify explanations across biology and cognitive science. Active inference, whose most famous tenet is the free energy principle, has inspired excitement and confusion in equal measure. Here, we lay the ground for proper critical analysis of active inference, in three ways. First, we give simplified versions of its core mathematical models. Second, we outline the historical development of active inference and its relationship to other theoretical approaches. Third, (...) we describe three different kinds of claim -- labelled mathematical, empirical and general -- routinely made by proponents of the framework, and suggest dialectical links between them. Overall, we aim to increase philosophical understanding of active inference so that it may be more readily evaluated. -/- This the final submitted version of the Introduction to the Topical Collection "The Free Energy Principle: From Biology to Cognition", forthcoming in Biology & Philosophy. (shrink)

Although artificial intelligence techniques have been successfully applied to reproduce many rational features of human behaviour, a great barrier has been encountered in simulating human activities where intuition and emotion are involved. Art making and viewing are processes where typically rational and mechanical aspects interact with aesthetic and cognitive criteria. Can you make a computer understand and autonomously produce art?The main purpose of this paper is to present the most relevant approaches in the study of art perception and creation via (...) computer, focusing on the results achieved in artistic computer graphics. (shrink)

Recent progress in artificial intelligence has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats that of humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. We review progress in cognitive science suggesting that truly human-like learning and thinking (...) machines will have to reach beyond current engineering trends in both what they learn and how they learn it. Specifically, we argue that these machines should build causal models of the world that support explanation and understanding, rather than merely solving pattern recognition problems; ground learning in intuitive theories of physics and psychology to support and enrich the knowledge that is learned; and harness compositionality and learning-to-learn to rapidly acquire and generalize knowledge to new tasks and situations. We suggest concrete challenges and promising routes toward these goals that can combine the strengths of recent neural network advances with more structured cognitive models. (shrink)

The development of computers as ‘mind tools’ has generated intriguing and provocative views about their potential human-like qualities. In this paper an attempt is made to explore the ‘real’ nature of computers by an examination of three widely different perspective, (1) the common-sense view of computers as tools; (2) the provocative view of computers as persons; and (3) the challenging view of computers as texts. In the course of the discussion an extended critique of the use of anthropomorphic terms in (...) relation to machines is conducted and the fundamental differences between human persons and machines is reasserted. (shrink)

May God may be understood and referred to as a “person”? This is a live debate in contemporary theological and philosophical circles. However, despite the attention this debate has received, the vital question of how to account for God’s trinitarian nature has been mostly overlooked. Due to trinitarian concerns about the unqualified use of “person” as an analogy for the Godhead, I intervene in this debate with a two-fold proposal. The first is that proponents of using a person as an (...) analogy for the Godhead will be better served by using a psychologically informed analogy of a “self” instead. In particular, the Dialogical Self model of a person holds much promise. In what follows, I argue that the “Dialogical Self Analogy” for the Godhead is more likely to uphold God’s trinitarian nature, avoid trinitarian confusion and related problems than “person” analogies do. The primary benefit of speaking of God as a Dialogical Self is that it offers a psychologically modelled analogy for God, whilst avoiding the language of person, yet strongly taking into account God’s trinitarian nature. This has the important benefit of preserving the concept and language of “person” for the trinitarian persons, and hence avoiding the linguistic, conceptual and ecumenical confusion that arises when referring to the Godhead as a person. The strength of using the model and language of a Dialogical Self as an analogy for the Godhead is demonstrated by showing its compatibility with Erickson’s criteria for describing the Trinity. (shrink)

Consequentialist theories determine rightness solely based on real or expected consequences. Although such theories are popular, they often have difficulty with generalizing intuitions, which demand concern for questions like “What if everybody did that?” Rule consequentialism attempts to incorporate these intuitions by shifting the locus of evaluation from the consequences of acts to those of rules. However, detailed rule-consequentialist theories seem ad hoc or arbitrary compared to act consequentialist ones. We claim that generalizing can be better incorporated into consequentialism by (...) keeping the locus of evaluation on acts but adjusting the decision theory behind act selection. Specifically, we should adjust which types of dependencies the theory takes to be decision-relevant. Using this strategy, we formulate a new theory, generalized act consequentialism, which we argue is more compelling than rule consequentialism both in modeling the actual reasoning of generalizers and in delivering correct verdicts. (shrink)

In 1976, Richard Dawkins coined the term meme as a way to metaphorically project bio-evolutionary principles upon the processes of cultural and social development. The works of Dawkins and of some other enthusiasts had contributed to a rise in popularity of the concept of memetics (“study of memes”), but the interest to this new field started to decline quite soon. The conceptual apparatus of memetics was based on a number of quasi-biological terms, but the emerging discipline failed to go beyond (...) those initial metaphors. This article is an attempt to rebuild the toolkit of memetics with the help of the more fundamental concepts taken from semiotics and to propose a synthetic conceptual framework connecting genetics and memetics, in which semiotics is used as the transdisciplinary methodology for both disciplines. The concept of sign is used as the meta-lingual equivalent for both the concepts of gene and meme. In the most general understanding, sign is a thing which stands for another thing. In genetics, this translates into gene that is a section of DNA that stands for the algorithm of how a particular biomolecule is built. In memetics, the similar principle works in meme that is a thing that stands for the rules of how a particular cultural practice is performed. (shrink)

By following the arguments developed by Vygotsky and employing the cultural-historical activity theory (CHAT) in addition to dialectical logic, this paper attempts to investigate the interaction between psychology and artificial intelligence (AI) to confront the epistemological and methodological challenges encountered in AI research. The paper proposes that AI is facing an epistemological and methodological crisis inherited from psychology based on dualist ontology. The roots of this crisis lie in the duality between rationalism and objectivism or in the mind-body rupture that (...) has governed the production of scientific thought and the proliferation of approaches. In addition, by highlighting the sociohistorical conditions of AI, this paper investigates the historical characteristics of the shift of the crisis from psychology to AI. Additionally, we examine the epistemological and methodological roots of the main challenges encountered in AI research by noting that empiricism is the dominant tendency in the field. Empiricism gives rise to methodological and practical challenges, including challenges related to the emergence of meaning, abstraction, generalization, the emergence of symbols, concept formation, functional reflection of reality, and the emergence of higher psychological functions. Furthermore, through discussing attempts to formalize dialectical logic, the paper, based on contradiction formation, proposes a qualitative epistemological, methodological, and formal alternative by using a preliminary algorithmic model that grasps the formation of meaning as an essential ability for the qualitative reflection of reality and the emergence of other mental functions. (shrink)

The central motivating idea behind the development of this work is the concept of prespace, a hypothetical structure that is postulated by some physicists to underlie the fabric of space or space-time. I consider how such a structure could relate to space and space-time, and the rest of reality as we know it, and the implications of the existence of this structure for quantum theory. Understanding how this structure could relate to space and to the rest of reality requires, I (...) believe, that we consider how space itself relates to reality, and how other so-called "spaces" used in physics relate to reality. In chapter 2, I compare space and space-time to other spaces used in physics, such as configuration space, phase space and Hilbert space. I support what is known as the "property view" of space, opposing both the traditional views of space and space-time, substantivalism and relationism. I argue that all these spaces are property spaces. After examining the relationships of these spaces to causality, I argue that configuration space has, due to its role in quantum mechanics, a special status in the microscopic world similar to the status of position space in the macroscopic world. In chapter 3, prespace itself is considered. One way of approaching this structure is through the comparison of the prespace structure with a computational system, in particular to a cellular automaton, in which space or space-time and all other physical quantities are broken down into discrete units. I suggest that one way open for a prespace metaphysics can be found if physics is made fully discrete in this way. I suggest as a heuristic principle that the physical laws of our world are such that the computational cost of implementing those laws on an arbitrary computational system is minimized, adapting a heuristic principle of this type proposed by Feynman. In chapter 4, some of the ideas of the previous chapters are applied in an examination of the physics and metaphysics of quantum theory. I first discuss the "measurement problem" of quantum mechanics: this problem and its proposed solution are the primary subjects of chapter 4. It turns out that considering how quantum theory could be made fully discrete leads naturally to a suggestion of how standard linear quantum mechanics could be modified to give rise to a solution to the measurement problem. The computational heuristic principle reinforces the same solution. I call the modified quantum mechanics Critical Complexity Quantum Mechanics (CCQM). I compare CCQM with some of the other proposed solutions to the measurement problem, in particular the spontaneous localization model of Ghirardi, Rimini and Weber. Finally, in chapters 5 and 6, I argue that the measure of complexity of quantum mechanical states I introduce in CCQM also provides a new definition of entropy for quantum mechanics, and suggests a solution to the problem of providing an objective foundation for statistical mechanics, thermodynamics, and the arrow of time. (shrink)