The chapter discusses the principle of conservatism and traces how the general principle is related to the specific one. This tracing suggests that the principle of conservatism needs to be refined. Connecting the principle in cognitive science to more general questions about scientific inference also allows us to revisit the question of realism versus instrumentalism. The framework deployed in model selection theory is very general; it is not specific to the subject matter of science. The chapter outlines some non-Bayesian ideas (...) that have been developed in model selection theory. The principle of conservatism, like C. Lloyd Morgan's canon, describes a preference concerning kinds of parameters. It says that a model that postulates only lower-level intentionality is preferable to one that postulates higher-level intentionality if both fit the data equally well. The model selection approach to parsimony helps explain why unification is a theoretical virtue. (shrink)

v. 1. Foundations -- v. 2. The mind-body problem -- v. 3. Intentionality -- v. 4. Consciousness.

A satisfactory solution to the problem of consciousness would take the form of a simple yet fully general model that specifies the precise conditions under which any given state of consciousness occurs. Science has uncovered numerous correlations between consciousness and neural activity, but it has not yet come anywhere close to this. We are still looking for the Newtonian laws of consciousness. -/- One of the main difficulties with consciousness is that we lack a language in which to formulate illuminating (...) generalizations about it. Philosophers and scientists talk about "what it’s like", sensations, feelings, and perceptual states such as seeing and hearing. This language does not allow a precise articulation of the internal structures of conscious states and their inter-relations. It is inadequate to capture relations of the kind we are looking for between conscious states and physical states. -/- In this thesis I refine and defend a theory of consciousness which promises to solve this regimentation problem: the representational theory of consciousness. I argue that the representational theory can solve the regimentation problem and smooth out other important obstacles to a fruitful study of consciousness. I also make a case for the theory independently of its payoffs, and I discuss the leading opposing theories at some length. (shrink)

One of the most enduring elements of Davidson’s legacy is the idea that intentionality is inherently normative. The normativity of intentionality means different things to different people and in different contexts, however. A subsidiary goal of this paper is to get clear on the sense in which Davidson means the thesis that intentionality is inherently normative. The central goal of the paper is to consider whether the thesis is true, in light of recent work on intentionality that insists on an (...) intimate connection between intentionality and phenomenal consciousness. According to several recent authors, there is a kind of intentionality – “phenomenal intentionality” – that is fully constituted by the phenomenal character of conscious experiences. I will argue that although Davidson’s thesis, when correctly understood, is compelling for most intentionality, it is false of phenomenal intentionality. I start, in §1, with an explication of the notion of phenomenal intentionality; in §2, I elucidate Davidson’s thesis and his case for it; in §3, I argue that the case does not extend to phenomenal intentionality; I close, in §4, with some objections and replies. (shrink)

We review some of the work already done around the notion of phenomenal intentionality and propose a way of turning this body of work into a self-conscious research program for understanding intentionality.

Philosophy of science is seen by most as a meta-discipline – one that takes science as its subject matter, and seeks to acquire knowledge and understanding about science without in any way affecting, or contributing to, science itself. Karl Popper’s approach is very different. His first love is natural philosophy or, as he would put it, cosmology. This intermingles cosmology and the rest of natural science with epistemology, methodology and metaphysics. Paradoxically, however, one of his best known contributions, his proposed (...) solution to the problem of demarcation, helps to maintain the gulf that separates science from metaphysics, thus fragmenting cosmology into falsifiable science on the one hand, untestable philosophy on the other. This has damaging repercussions for a number of issues Popper tackles, from the problem of induction to simplicity of theory and quantum theory. But his proposed solution to the demarcation problem is untenable. Metaphysical assumptions are an integral part of scientific knowledge, inherent in the persistent acceptance of unified theories against the evidence. Once this is appreciated, it becomes obvious that natural philosophy, a synthesis of science and philosophy, is both more rigorous and of greater intellectual value than the two dissociated components we have today. What Popper sought for could come to full fruition. Problems that Popper tackled, from the problem of induction, to the problem of unity of theory, problems of quantum theory, and problems concerning the scope and limits of physics, all receive more adequate resolution within the new, fully-fledged natural philosophy. (shrink)

Gödel has argued that we can cultivate the intuition or perception of abstractconcepts in mathematics and logic. Gödel's ideas about the intuition of conceptsare not incidental to his later philosophical thinking but are related to many otherthemes in his work, and especially to his reflections on the incompleteness theorems.I describe how some of Gödel's claims about the intuition of abstract concepts are related to other themes in his philosophy of mathematics. In most of this paper, however,I focus on a central (...) question that has been raised in the literature on Gödel: what kind of account could be given of the intuition of abstract concepts? I sketch an answer to this question that uses some ideas of a philosopher to whom Gödel also turned in this connection: Edmund Husserl. The answer depends on how we understand the conscious directedness toward objects and the meaning of the term abstract in the context of a theory of the intentionality of cognition. (shrink)

The instrumentalist argument from the underdetermination of theories by data runs as follows: (1) every theory has empirically equivalent rivals; (2) the only warrant for believing one theory over another is its possession of a greater measure of empirical virtue; (3) therefore belief in any theory is arbitrary. In this paper, I examine the status of the first premise. Several arguments against the universal availability of empirically equivalent theoretical rivals are criticized, and four algorithms for producing empirically equivalent rivals are (...) defended. I conclude that the case for the first premise of the argument from underdetermination is very strong. The disposition of the argument itself depends on the fate of the second premise. (shrink)

To begin, I introduce an analysis of interlevel relations that allows us to offer an initial characterization of the debate about the way classical and connectionist models relate. Subsequently, I examine a compatibility thesis and a conditional claim on this issue.With respect to the compatibility thesis, I argue that, even if classical and connectionist models are not necessarily incompatible, the emergence of the latter seems to undermine the best arguments for the Language of Thought Hypothesis, which is essential to the (...) former. (shrink)

It seems obvious that our beliefs are logically imperfect in two ways: they are neither deductively closed nor logically consistent. But this common-sense truism has been judged erroneous by some philosophers in the light of various arguments. In defence of common sense I consider and rebut interpretative arguments for logical perfection and show that the assumption espoused by common sense is theoretically superior, and capable - unlike its rival - of accounting for the informativeness of mathematics. Finally, I suggest that (...) common sense opens the way to genuine disputes about the correct logic. (shrink)

We argue that heterophenomenology both over- and under-populates the intentional realm. For example, when one is involved in coping, one’s mind does not contain beliefs. Since the heterophenomenologist interprets all intentional commitment as belief, he necessarily overgenerates the belief contents of the mind. Since beliefs cannot capture the normative aspect of coping and perceiving, any method, such as heterophenomenology, that allows for only beliefs is guaranteed not only to overgenerate beliefs but also to undergenerate other kinds of intentional phenomena.

Online collection of papers by Devitt, Dretske, Guarino, Hochberg, Jackson, Petitot, Searle, Tye, Varzi and other leading thinkers on philosophy and the foundations of cognitive Science. Topics dealt with include: Wittgenstein and Cognitive Science, Content and Object, Logic and Foundations, Language and Linguistics, and Ontology and Mereology.

Cognitivism in psychology and philosophy is roughly the position that intelligent behavior can (only) be explained by appeal to internal that is, rational thought in a very broad sense. Sections 1 to 5 attempt to explicate in detail the nature of the scientific enterprise that this intuition has inspired. That enterprise is distinctive in at least three ways: It relies on a style of explanation which is different from that of mathematical physics, in such a way that it is not (...) basically concerned with quantitative equational laws; the states and processes with which it deals are in the sense that they are regarded as meaningful or representational; and it is not committed to reductionism, but is open to reduction in a form different from that encountered in other sciences. Spelling these points out makes it clear that the Cognitivist study of the mind can be rigorous and empirical, despite its unprecedented theoretical form. The philosophical explication has another advantage as well: It provides a much needed framework for articulating questions about whether the Cognitivist approach is right or wrong. The last three sections take that advantage of the account, and address several such questions, pro and con. (shrink)

In this paper we defend the doxastic conception of delusions against the metacognitive account developed by Greg Currie and collaborators. According to the metacognitive model, delusions are imaginings that are misidentified by their subjects as beliefs: the Capgras patient, for instance, does not believe that his wife has been replaced by a robot, instead, he merely imagines that she has, and mistakes this imagining for a belief. We argue that the metacognitive account is untenable, and that the traditional conception of (...) delusions as beliefs should be retained. (shrink)

I argue that some cases of delusions show the inadequacy of those theories of interpretation that rely on a necessary rationality constraint on belief ascription. In particular I challenge the view that irrational beliefs can be ascribed only against a general background of rationality. Subjects affected by delusions seem to be genuine believers and their behaviour can be successfully explained in intentional terms, but they do not meet those criteria that according to Davidson (1985a) need to be met for the (...) background of rationality to be in place. (shrink)

Ethologists and others studying animal behavior in a spirit are in need of a descriptive language and method that are neither anachronistically bound by behaviorist scruples nor prematurely committed to particular Just such an interim descriptive method can be found in intentional system theory. The use of intentional system theory is illustrated with the case of the apparently communicative behavior of vervet monkeys. A way of using the theory to generate data - including usable, testable data - is sketched. The (...) underlying assumptions of this approach can be seen to ally it directly with theorizing in evolutionary biology, which has recently come under attack from Stephen Gould and Richard Lewontin, who castigate it as the Their arguments, which are strongly analogous to B. F, Skinner's arguments against point to certain pitfalls that attend the careless exercise of such thinking (and rival varieties of thinking as well), but do not constitute a fundamental objection to either adaptationist theorizing or its cousin, intentional system theory. (shrink)

The aim of this paper is to study interpretation, specifically, to work toward an account of interpretation that seems descriptively and explanatorily correct. No account of interpretation can be philosophically helpful, I submit, if it is incompatible with a correct account of what people actually do when they interpret others. My question, then, is: how does the (naive) interpreter arrive at his/her judgments about the mental attitudes of others? Philosophers who have addressed this question have not, in my view, been (...) sufficiently psychological, or cognitivist, even those who are otherwise psychologically inclined. I shall defend some proposals about the activity of interpretation that are, I believe, psychologically more realistic than their chief competitors. (shrink)

The proper treatment of computationalism, as the thesis that cognition is computable, is presented and defended. Some arguments of James H. Fetzer against computationalism are examined and found wanting, and his positive theory of minds as semiotic systems is shown to be consistent with computationalism. An objection is raised to an argument of Selmer Bringsjord against one strand of computationalism, namely, that Turing-Test± passing artifacts are persons, it is argued that, whether or not this objection holds, such artifacts will inevitably (...) be persons. (shrink)

Over the past thirty years, it is been common to hear the mind likened to a digital computer. This essay is concerned with a particular philosophical view that holds that the mind literally is a digital computer (in a specific sense of “computer” to be developed), and that thought literally is a kind of computation. This view—which will be called the “Computational Theory of Mind” (CTM)—is thus to be distinguished from other and broader attempts to connect the mind with computation, (...) including (a) various enterprises at modeling features of the mind using computational modeling techniques, and (b) employing some feature or features of production-model computers (such as the stored program concept, or the distinction between hardware and software) merely as a guiding metaphor for understanding some feature of the mind. This entry is therefore concerned solely with the Computational Theory of Mind (CTM) proposed by Hilary Putnam [1961] and developed most notably for philosophers by Jerry Fodor [1975, 1980, 1987, 1993]. The senses of ‘computer’ and ‘computation’ employed here are technical; the main tasks of this entry will therefore be to elucidate: (a) the technical sense of ‘computation’ that is at issue, (b) the ways in which it is claimed to be applicable to the mind, (c) the philosophical problems this understanding of the mind is claimed to solve, and (d) the major criticisms that have accrued to this view. (shrink)

Some philosophers have conflated functionalism and computationalism. I reconstruct how this came about and uncover two assumptions that made the conflation possible. They are the assumptions that (i) psychological functional analyses are computational descriptions and (ii) everything may be described as performing computations. I argue that, if we want to improve our understanding of both the metaphysics of mental states and the functional relations between them, we should reject these assumptions. # 2004 Elsevier Ltd. All rights reserved.

What psychological and philosophical significance should we attach to recent efforts at computer simulations of human cognitive capacities? In answering this question, I find it useful to distinguish what I will call "strong" AI from "weak" or "cautious" AI. According to weak AI, the principal value of the computer in the study of the mind is that it gives us a very powerful tool. For example, it enables us to formulate and test hypotheses in a more rigorous and precise fashion. (...) But according to strong AI, the computer is not merely a tool in the study of the mind; rather, the appropriately programmed computer really is a mind, in the sense that computers given the right programs can be literally said to. (shrink)

The distinction between cognitive and perceptual theories of emotion is entrenched in the literature on emotion and is openly used by individual emotion theorists when classifying their own theories and those of others. In this paper, I argue that the distinction between cognitive and perceptual theories of emotion is more pernicious than it is helpful, while at the same time insisting that there are nonetheless important perceptual and cognitive factors in emotion that need to be distinguished. A general representational metatheoretical (...) framework for reconciling cognitive and perceptual theories is proposed. This is the Representational Theory of Emotion (RTE). A detailed case study of Antonio Damasio's important new contribution to emotion theory is presented in defense of the RTE. The paper is intended for readers interested in the foundations of emotion theory and cognitive science. (shrink)

I want to explore what happens to two philosophical issues when we assume that the mind, a functional device, is to be understood by the same sort of functional analysis that guides biological investigation of other organismic systems and characteristics. The first problem area concerns the concept of rationality, its connection with reliability and reproductive success, and the status of rationality hypotheses in attribution of beliefs. It has been argued that ascribing beliefs to someone requires the assumption that that person (...) is rational. It also has been argued that evolutionary theory can account for the capacity we have for rational thought by appealing to the idea that rational methods for constructing beliefs are reliable and therefore represented a selected advantage. Both of these claims about rationality are critically examined. In the second part of the paper, I turn to some criticisms that have been advanced against "functionalist" solutions to the mind/body problem. These criticisms are defused when that doctrine is understood in terms of a Teleological (rather than a Turing Machine) notion of function. However, functionalism does not emerge totally unscathed. Voltaire's Dr. Pangloss saw everything in terms of its function and its perfect performance of its function. In the philosophy of mind, his influence lives on in the form of two ideas: (i) that we must possess rational methods for constructing beliefs, since our minds are the product of natural selection, and (ii) that psychological states and properties are individuated by their psychological functions. Contemporary biology provides the resources for avoiding Pangloss's wideeyed teleology in the study of adaptation. It is to be hoped that progress in psychology will loosen the grip of Panglossian assumptions in the study of mind. (shrink)

An introduction to functionalism in the philosophy of psychology/mind, and review of the current state of debate pro and con. Forthcoming in the Routledge Companion to the Philosophy of Psychology (John Symons and Paco Calvo, eds.).

The Gestalt psychologists adopted a set of positions on mind-body issues that seem like an odd mix. They sought to combine a version of naturalism and physiological reductionism with an insistence on the reality of the phenomenal and the attribution of meanings to objects as natural characteristics. After reviewing basic positions in contemporary philosophy of mind, we examine the Gestalt position, characterizing it m terms of phenomenal realism and programmatic reductionism. We then distinguish Gestalt philosophy of mind from instrumentalism and (...) computational functionalism, and examine Gestalt attributions of meaning and value to perceived objects. Finally, we consider a metatheoretical moral from Gestalt theory, which commends the search for commensurate description of mental phenomena and their physiological counterparts. (shrink)

In the writings of Daniel Dennett and Donald Davidson we find something like the following bold conjecture: it is an a priori truth that there is no gap between our best judgements of a subject's beliefs and desires and the truth about the subject's beliefs and desires. Under ideal conditions a subject's belief-box and desire-box become transparent.

Cognitive science is shamelessly materialistic. It maintains that human beings are nothing more than complex physical systems, ultimately and completely explicable in mechanistic terms. But this conception of humanity does not ?t well with common sense. To think of the creatures we spend much of our day loving, hating, admiring, resenting, comparing ourselves to, trying to understand, blaming, and thanking -- to think of them as mere mechanisms seems at best counterintuitive and unhelpful. More often it may strike us as (...) ludicrous, or even abhorrent. We are. (shrink)

This is a work in the philosophy of language and metasemantics. Its purpose is to help answer the question about how words acquire their meanings. The work is divided into two parts. The purpose of Part One is to defend the claim that, despite numerous attempts, the so-called Kripkenstein’s sceptical challenge, and especially the problem of finitude, has not been offered a successful straight solution. The purpose of Part Two is to critically examine Robert Brandom’s philosophy, which can be treated (...) as an answer to the sceptical challenge in my interpretation. My main claim is that although Brandom’s so-called normativist approach does provide a principled solution to the sceptical challenge, the proposal faces a host of other problems in the light of which I reject it. -/- What is Kripkenstein’s sceptical challenge? The name 'Kripkenstein' is an abbreviation used in the literature for Saul Kripke’s reading of Ludwig Wittgenstein’s later works, published in 1982. In the long essay, Kripke presents (that Wittgenstein presented) a sceptical challenge that demands an explanation of how any word can have a determinate meaning. The challenge is usually thought to consist of three interrelated problems: (1) the problem of finitude, (2) the problem of error, and (3) the problem of normativity. Following Martin Kusch, I view the problem of finitude as the most important one. According to the problem, briefly, since any actual subject is a finite being, i.e. capable of exhibiting only finite expressions of linguistic signs, it will always be possible to ask whether, in a given context, she is following a rule S1 or rule S2 that corresponds to the meaning of the sign. For example, supposing that the sign in question is '+', it can be asked whether the subject in a given context has followed the addition rule or an alternative quaddition rule, according to which any addition problem exceeding certain arbitrary cardinality results in five. According to the hypothesis, the actual use of '+' by any speaker is compatible with both rules. Since any speaker has only finite dispositions to the mathematical conduct, there will always be some limit after which there is no fact of the matter, according to the sceptic, which rule the subject will have turned out to have followed. Hence, it is indeterminate whether any actual subject has ever calculated according to the addition rule or the quaddition rule. -/- From my view, despite the work of Kripke and Kusch, the problem of finitude has not been taken as seriously as it ought to have been. This in turn has significant consequences for the metasemantic theory concerning the origin and nature of meaning. In particular, I claim that the way how the meaning of words is determined must be understood as temporal in nature. Moreover, I claim that Kripke’s causal-historical account of reference can work as a non-straight solution to the challenge that explains how at least the meanings of some words can be temporally determined. -/- One central aim of Brandom’s philosophy is to give a straight answer to the problem of finitude by providing an answer to the problem of normativity. However, I claim that Brandom’s version of the 'normativity of meaning' hypothesis cannot work as he intends. The key issues are difficult to summarise, but to put it succinctly, the crucial problem concerns Brandom’s ambition to give an answer to a version of Agrippa’s trilemma, or how a chain of justifications can end in anything else than (i) premises that have already been used, (ii) a primitive premise, or an (iii) infinitude of premises. My claim is that Brandom’s resolution to the trilemma is not sound. (shrink)

Are LLMs cultural technologies like photocopiers or printing presses, which transmit information but cannot create new content? A challenge for this idea, which we call bibliotechnism, is that LLMs generate novel text. We begin with a defense of bibliotechnism, showing how even novel text may inherit its meaning from original human-generated text. We then argue that bibliotechnism faces an independent challenge from examples in which LLMs generate novel reference, using new names to refer to new entities. Such examples could be (...) explained if LLMs were not cultural technologies but had beliefs, desires, and intentions. According to interpretationism in the philosophy of mind, a system has such attitudes if and only if its behavior is well explained by the hypothesis that it does. Interpretationists may hold that LLMs have attitudes, and thus have a simple solution to the novel reference problem. We emphasize, however, that interpretationism is compatible with very simple creatures having attitudes and differs sharply from views that presuppose these attitudes require onsciousness, sentience, or intelligence (topics about which we make no claims). (shrink)

Can groups really be agents or is group agency just a fiction? Christian List and Philip Pettit argue influentially for group-agent realism by showing how certain groups form and act on attitudes in ways they take to be unexplainable at the level of the individual agents constituting them. Group agency is therefore considered not a fiction or a metaphor but a reality we must account for in explanations of certain social phenomena. In this paper, I challenge this defence of group-agent (...) realism by showing how it is undermined by individual-level analysis of how individuals interact within groups. While group agency can be a useful fiction, real agents are at the individual level, not the collective level. (shrink)

It is often indeterminate what function a given computational system computes. This phenomenon has been referred to as “computational indeterminacy” or “multiplicity of computations.” In this paper, we argue that what has typically been considered and referred to as the challenge of computational indeterminacy in fact subsumes two distinct phenomena, which are typically bundled together and should be teased apart. One kind of indeterminacy concerns a functional characterization of the system’s relevant behavior. Another kind concerns the manner in which the (...) abstract states are interpreted. We discuss the similarities and differences between the two kinds of computational indeterminacy, their implications for certain accounts of “computational individuation” in the literature, and their relevance to different levels of description within the computational system. We also examine the inter-relationships between our proposed accounts of the two kinds of indeterminacy and the main accounts of “computational implementation.”. (shrink)

The operations of deep networks are widely acknowledged to be inscrutable. The growing field of Explainable AI has emerged in direct response to this problem. However, owing to the nature of the opacity in question, XAI has been forced to prioritise interpretability at the expense of completeness, and even realism, so that its explanations are frequently interpretable without being underpinned by more comprehensive explanations faithful to the way a network computes its predictions. While this has been taken to be a (...) shortcoming of the field of XAI, I argue that it is broadly the right approach to the problem. (shrink)

Conversational artificial agents and artificially intelligent voice assistants are becoming increasingly popular. Digital virtual assistants such as Siri, or conversational devices such as Amazon Echo or Google Home are permeating everyday life, and are designed to be more and more humanlike in their speech. This study investigates the effect this can have on one’s conformity with an AI assistant. In the 1950s, Solomon Asch’s already demonstrated the power and danger of conformity amongst people. In these classical experiments test persons were (...) asked to answer relatively simple questions, whilst others pretending to be participants tried to convince the test person to give wrong answers. These studies were later replicated with embodied robots, but these physical robots are still rare. In light of our increasing reliance on AI assistants, this study investigates to what extent an individual will conform to a disembodied virtual assistant. We also investigate if there is a difference between a group that interacts with an assistant that communicates through text, one that has a robotic voice and one that has a humanlike voice. The assistant attempts to subtly influence participants’ final responses in a general knowledge quiz, and we measure how often participants change their answer after having been given advice. Results show that participants conformed significantly more often to the assistant with a human voice than the one that communicated through text. (shrink)

Contemporary epistemological and cognitive studies, as well as recent trends in computer science and game theory have revealed an increasingly important and intimate relationship between Information, Interaction, and Agency. Agents perform actions based on the available information and in the presence of other interacting agents. From this perspective Information, Interaction, and Agency neatly ties together classical themes like rationality, decision-making and belief revision with games, strategies and learning in a multi-agent setting. Unified by the central notions Information, Interaction, and Agency, (...) the essays in this volume provide refreshing methodological perspectives on belief revision, dynamic epistemic logic, von Neumann games, and evolutionary game theory; all of which in turn are central approaches to understanding our own rationality and that of other agents. (shrink)

Recently, evidentialists have argued that only they can explain transparency--the psychological phenomena wherein the question of doxastic deliberation of whether to believe p immediately gives way to the question of whether p--and thus that pragmatism about epistemic reasons is false. In this paper, we provide a defense of pragmatism. We depart from previous defenses of pragmatism which argue against the evidentialist explanation of transparency or the fact of transparency itself, by instead arguing that the pragmatist can provide a sound explanation (...) of transparency while maintaining her distinctive view of epistemic reasons. We do so by putting forth an evolutionary debunking explanation of doxastic deliberation. Since both the evidentialist and pragmatist have sound explanatory accounts of transparency, we argue that transparency should not be appealed to when trying to adjudicate the debate between evidentialists and pragmatists, but rather must be decided on other grounds. (shrink)

In the last 20 years the Turing test has been left further behind by new developments in artificial intelligence. At the same time, however, these developments have revived some key elements of the Turing test: imitation and adversarialness. On the one hand, many generative models, such as generative adversarial networks, build imitators under an adversarial setting that strongly resembles the Turing test. The term “Turing learning” has been used for this kind of setting. On the other hand, AI benchmarks are (...) suffering an adversarial situation too, with a ‘challenge-solve-and-replace’ evaluation dynamics whenever human performance is ‘imitated’. The particular AI community rushes to replace the old benchmark by a more challenging benchmark, one for which human performance would still be beyond AI. These two phenomena related to the Turing test are sufficiently distinctive, important and general for a detailed analysis. This is the main goal of this paper. After recognising the abyss that appears beyond superhuman performance, we build on Turing learning to identify two different evaluation schemas: Turing testing and adversarial testing. We revisit some of the key questions surrounding the Turing test, such as ‘understanding’, commonsense reasoning and extracting meaning from the world, and explore how the new testing paradigms should work to unmask the limitations of current and future AI. Finally, we discuss how behavioural similarity metrics could be used to create taxonomies for artificial and natural intelligence. Both testing schemas should complete a transition in which humans should give way to machines—not only as references to be imitated but also as judges—when pursuing and measuring machine intelligence. (shrink)

According to the thesis of powerism, our world is pervaded by causal powers which are metaphysically basic. The aim of this paper is to defend the existence of the self, defined as a substantial entity, and its mental powers. This claim, which may seem a bold one, should not be deemed as inconsistent with scientific evidence. In fact, this approach does not ignore empirical knowledge, but is not bound only to it in order to understand entities, properties, and the relationship (...) between them. Aristotelian powerism may show that the self, as the subject of one’s mental acts, is a substance that has an essential nature. Firstly, we shall analyze the immediate evidence we have in support of the existence of the self as a substantial entity. We will show that the self is a substance because it possesses an essential character, i.e. an individual essence. We will take into account the Aristotelian perspective of substance, trying to show how the presence of a necessary property that makes every subject identical to itself and the phenomenal features of one’s private experience point to the existence of a substantial entity that corresponds to the self. Secondly, we will try to justify the adoption of a metaphysical theory of causation based on powers, analyzing it in comparison with the main competing theories, namely hypotheticalism and nomism. Then, we shall proceed to show the causal properties of the substance in question, namely the mental powers. In fact, thirdly, we will embrace the thesis of powerism by defending the existence of a set of mental powers that should be attributed to the self. We will describe the main features of mental powers and we will show that they are conceivable as the pure intentional acts we perform by directing an intentional state towards an intentional object. In this way we show how a classic problem of philosophy of mind, relevant to science as well, can be addressed in an original way by a metaphysical approach involving powers. (shrink)

In our daily lives, we need to predict and understand others’ behavior in order to navigate through our social environment. Predictions concerning other humans’ behavior usually refer to their mental states, such as beliefs or intentions. Such a predictive strategy is called ‘adoption of the intentional stance.’ In this paper, we review literature related to the concept of intentional stance from the perspectives of philosophy, psychology, human development, culture, and human-robot interaction. We propose that adopting the intentional stance might be (...) a pivotal factor in facilitating social attunement with artificial agents. The paper first reviews the theoretical considerations regarding the intentional stance and examines literature related to the development of the intentional stance across life span. Subsequently, we discuss cultural norms as grounded in the intentional stance, and finally, we focus on the issue of adopting the intentional stance toward artificial agents, such as humanoid robots. At the dawn of the artificial intelligence era, the question of how – and also when – we predict and explain robots’ behavior by referring to mental states is of high interest. The paper concludes with a discussion on ethical consequences of adopting the intentional stance toward robots, and sketches future directions in research on this topic. (shrink)

In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...) study of “mindreading” and debates on emotions. We claim that the current practice in cognitive (neuro)science has undergone, in effect, a silent mechanistic revolution, and has turned from initial binary oppositions and abstract proposals towards the integration of wide perspectives with the rest of the cognitive (neuro)sciences. (shrink)

This is a reminiscence and short biographical sketch of the late philosopher and cognitive scientist Jerry Fodor. It includes a summary of his main proposals about the mind: his “Language of Thought” hypothesis; his rejection of analyticity and conceptual role semantics; his “mad dog nativism”; his proposal of mental modules and—by contrast—his skepticism about a computational theory of central cognition; his anti‐reductionist, but still physicalist, views about psychology; and, lastly, his attacks on selectionism. I conclude with some discussion of his (...) idiosyncratic style and of his aesthetic and other interests. An appendix provides some memorable quotes. (shrink)

Are we entering a major new phase of modern science, one in which our standard, human modes of reasoning and understanding, including heuristics, have decreasing value? The new methods challenge human intelligibility. The digital revolution inspires such claims, but they are not new. During several historical periods, scientific progress has challenged traditional concepts of reasoning and rationality, intelligence and intelligibility, explanation and knowledge. The increasing intelligence of machine learning and networking is a deliberately sought, somewhat alien intelligence. As such, it (...) challenges the traditional, heuristic foresight of expert researchers. Nonetheless, science remains human-centered in important ways—and yet many of our ordinary human epistemic activities are alien to ourselves. This fact has always been the source of “the discovery problem”. It generalizes to the problem of understanding expert scientific practice. Ironically, scientific progress plunges us ever deeper into complexities beyond our grasp. But how is progress possible without traditional realism and the intelligibility realism requires? Pragmatic flexibility offers an answer. (shrink)

This article argues that it is possible to hold autonomous agents themselves, and not only their makers, users or owners, responsible for the acts of these agents. In this connection autonomous systems are computer programs that interact with the outside world without human interference. They include such systems as ‘intelligent’ weapons and self-driving cars. The argument is based on an analogy between human beings and autonomous agents and its main element asserts that if humans can be held responsible, so can, (...) in principle, autonomous agents, as humans are more like autonomous agents than is often assumed. (shrink)