Many of the mathematicians and scientists who guided the development of digital computers in the late 1940s, such as Alan Turing and John von Neumann, saw these new devices not just as tools for calculation but as devices that might employ the same principles as are exhibited in rational human thought. Thus, a subfield of what came to be called computer science assumed the label artificial intelligence. The idea of building artificial systems which could exhibit intelligent behavior comparable to that (...) of humans was a heady prospect, and the claims made on behalf of AI during the 1950s and 1960s were impossibly ambitious. Despite some theoretical and applied successes within the field, serious problems soon became evident. Instead of fulfilling the goal of quickly producing artificial intelligent agents which could compete with or outperform human beings, by the 1970s and 1980s AI had settled into a pattern of slower but real progress in modeling or simulating aspects of human intelligence. (shrink)

Erroneously attributing propositional attitudes (desires, beliefs...) to computational artefacts has become internationally commonplace in the public arena, especially amongst the new generation of non-initiated users. Technology for rendering machines “user-friendly” is often inspired by interpersonal human communication. This calls forth designers to conceptualise a major component of human intelligence: the sense ofcommunicability, and its logical consequences. The inherentincommunicability of machines subsequently causes a shift in design strategy. Though cataloguing components of bouts between person and machine with Speech Act Theory has (...) been popular, I will endeavour to present thesine qua non for their insertion into a larger unit of discourse — their societal embodiment. I shall argue that the so-called “intelligence” of the artificial should to be seenas a purposeful act that is socially generated, because it comes of Man,for Man. Designership will provide the forum for evolving user requirements and interface renewal. (shrink)

Cognitive science is held, not only by its practitioners, to offer something distinctively new in the philosophy of mind. This novelty is seen as the product of two factors. First, philosophy of mind takes itself to have well and truly jettisoned the ‘old paradigm’, the theory of the mind as embodied soul, easily and completely known through introspection but not amenable to scientific inquiry. This is replaced by the ‘new paradigm’, the theory of mind as neurally-instantiated computational mechanism, relatively opaque (...) to introspection and the proper subject of detailed empirical investigation. Second, in the constitutive disciplines of cognitive science we have for the first time the theoretical, experimental and technological resources to begin this investigation. My concern here is to show that, despite its scientific and philosophical sophistication, the new paradigm is in certain striking ways very similar to the old paradigm and that Wittgenstein's criticisms of the former apply to much of the latter. (shrink)

Given the many marvelous things animals can do and moreover the success we have in employing the intentional stance towards animals, it seems to be almost unthinkable to say that animals could not act at all. Nonetheless, this is exactly what I argue for. I claim that strictly speaking there is no animal action, only behaviour. I defend this claim in three steps. Firstly, I recapitulate some of the weighty grounds that speak in favour of animal agency. Secondly, I explain (...) why I still doubt that animals act. The argument is that the account of agency that I take to be the most attractive one entails that animals can't act. Since this account of agency is non-standard, I spend the bulk of the paper with providing a sketch of what, according to it, actions are. Finally, I explain why it is still so natural and promising to regard animals as agents, although in fact they aren't. As one might put it: of course they act, only strictly speaking they don't. (shrink)

What exactly do we do when we try to make sense of other people e.g. by ascribing mental states like beliefs and desires to them? After a short criticism of Theory-Theory, Interaction Theory and the Narrative Theory of understanding others as well as an extended criticism of the Simulation Theory in Goldman's recent version (2006), we suggest an alternative approach: the Person Model Theory . Person models are the basis for our ability to register and evaluate persons having mental as (...) well as physical properties. We argue that there are two kinds of person models, nonconceptual person schemata and conceptual person images , and both types of models can be developed for individuals as well as for groups. (shrink)

This book contains a representationalist theory of self-consciousness and of the phenomenal first-person perspective. It draws on empirical data from the cognitive and neurosciences.

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)

Jackendoff defends a mentalist approach to semantics that investigates conceptual structures in the mind/brain and their interfaces with other structures, including specifically linguistic structures responsible for syntactic and phonological competence. He contrasts this approach with one that seeks to characterize the intentional relations between expressions and objects in the world. The latter, he argues, cannot be reconciled with mentalism. He objects in particular that intentionality cannot be naturalized and that the relevant notion of object is suspect. I critically discuss these (...) objections, arguing in part that Jackendoff’s position rests on questionable philosophical assumptions. (shrink)

This paper lays the groundwork for normative-yet-naturalistic social epistemology. I start by presenting two scenarios for the history of epistemology since Kant, one in which social epistemology is the natural outcome and the other in which it represents a not entirely satisfactory break with classical theories of knowledge. Next I argue that the current trend toward naturalizing epistemology threatens to destroy the distinctiveness of the sociological approach by presuming that it complements standard psychological and historical approaches. I then try to (...) reassert, in Comtean fashion, the epistemologist's credentials in regulating knowledge production. Finally, I consider how social epistemology may have something exciting and relevant to say about contemporary debates in the theory of knowledge. (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)

The theory of corporations as moral persons was first advanced by Peter French some fifteen years ago. French persuasively argued that corporations, as persons, have moral responsibility in pretty much the same way that most human beings are said to have moral responsibility. One of the crucial features of French's argument has been his reliance on the idea that corporations are "intentional systems," that they have beliefs and desires just as humans do. But this feature of French's thought has been (...) left largely undeveloped. Applying some philosophical ideas of Daniel Dennett, this article provides support for French's contention that corporations are intentional actors by analyzing what is meant by the term "intentional system," and showing why corporations should be thought of as, in many important ways, indistinguishable from humans. (shrink)

The raison d’être of this article is that many a spry-eyed analyst of the works in intelligent computing and robotics fail to see the essential concerning applications development, that of expressing their ultimate goal. Alternatively, they fail to state it suitably for the lesser-informed public eye. The author does not claim to be able to remedy this. Instead, the visionary investigation offered couples learning and computing with other related fields as part of a larger spectre to fully simulate people in (...) their embodied image. For the first time, the social roles attributed to the technical objects produced are questioned, and so with a humorous illustration. (shrink)

In recent years there has been a growing consensus that ordinary reasoning does not conform to the laws of classical logic, but is rather nonmonotonic in the sense that conclusions previously drawn may well be removed upon acquiring further information. Even so, rational belief formation has up to now been modelled as conforming to some fundamental principles that are classically valid. The counterexample described in this paper suggests that a number of the most cherished of these principles should not be (...) regarded as valid for commonsense reasoning. An explanation of this puzzling failure is given, arguing that a problem in the theory of rational choice transfers to the realm of belief formation. (shrink)

This paper challenges some leading views about the conditions under which the ascription of beliefs and desires can make sense of, or provide reasons for, a creature's behavior. I argue that it is unnecessary for behavior to proceed from beliefs and desires according to the principles of logic and decision theory, or even from principles that generally get things right. I also deny that it is necessary for behavior to proceed from principles that, though perhaps subrational, are similar to those (...) that we ourselves use. I then propose some conditions that are considerably weaker, and argue that they fulfill the descriptive and explanatory requirements of intentional ascription. (shrink)

commentary on Fodor, “Against Darwinism.”.

A philosophically important but largely overlooked cognitive theory is examined, one that provides information on which inferences an agent will make from his beliefs. Such a theory of feasible inferences is indispensable in a complete cognitive psychology, in particular, for predicting the agent's actions on the basis of rationality conditions and attributed beliefs and desires. However, very little of the feasibility theory which applies to a typical human being can be shown a priori to apply to all agents. The logical (...) competence required of a rational agent seems to have a cluster structure: it cannot be the case that an agent is able to make no inferences, but an agent can be unable to make any particular one. (shrink)

Kognitionswissenschaften – in einem weiten Sinn – sind einfach alle die Wissen- schaften, die sich mit der Analyse und Erklärung kognitiver Leistungen und Fähig- keiten befassen. Wenn man jedoch von der Kognitionswissenschaft im Singular spricht, dann ist in der Regel mehr gemeint. Für die Kognitionswissenschaft ist nicht nur ein bestimmter Forschungsgegenstand charakteristisch, sondern auch ein be- stimmter Erklärungsansatz: der Informationsverarbeitungsansatz. Stillings et al. z.B. schreiben gleich auf der ersten Seite ihres 1987 erschienenen Buches Cognitive Science – An Introduction: „Cognitive scientists (...) view the human mind as a complex system that receives, stores, retrieves, transforms, and transmits information.“ (Stil- lings et al. 1987: 1) Der Informationsverarbeitungsansatz führt jedoch sofort weiter zum Symbolverarbeitungsansatz. Denn offenbar kann ein System nur dann Informa- tionen empfangen, speichern und verarbeiten, wenn es über ein System von internen Repräsentationen oder Symbolen verfügt, über eine interne Sprache, in der diese In- formationen codiert sind. Zumindest ist das eine naheliegende Überlegung, die Peter Hacker so formuliert hat: „... if information is received, encoded, decoded, inter- preted and provides grounds for making plans, then there must be a language or sys- tem of representation in which this is all done.“ (Hacker 1987: 486f.) In der Tat ist die Annahme, daß es in kognitiven Systemen so etwas wie ein System interner Rep- räsentationen bzw. eine Sprache des Geistes1 gibt, die zentrale Grundannahme vieler neuerer Arbeiten in den Bereichen der Kognitionspsychologie und der kognitiven Neurobiologie. Für diese Wissenschaften hat diese Annahme den Status einer empi-. (shrink)

The nature and status of psychological laws are a long-standing controversy. I will argue that part of the controversy stems from the distinctive nature of an important subset of those laws, which I’ll call “supple laws.” An emergent-model strategy taken by the new interdisciplinary field of artificial life provides a strikingly successful understanding of analogously supple laws in biology. So, after reviewing the failures of the two evident strategies for understanding supple psychological laws, I’ll turn for inspiration to emergent-models explanations (...) of supple laws in biology. I’ll conclude by inferring what an emergent model of supple laws in psychology should be like. (shrink)

1. Cognitive sciences in a broad sense are simply all those sciences which concern themselves with the analysis and explanation of cognitive capacities and achievements. If one speaks of _cognitive science_ in the singular, however, usually something more is meant. Cognitive science is not only characterized by a specific object of research, but also through a particular kind of explanatory paradigm, i.e. the information processing paradigm. Stillings _et. al. _for example begin their book _Cognitive Science _as follows: " Cognitive scientists (...) view the human mind as a complex system that receives, stores, retrieves, transforms, and transmits information. " The information processing paradigm however, leads directly to the paradigm of symbol processing, because a system can, as it seems, only receive, store and process information if it has at its disposal a system of internal representations or _symbols_, i.e. an internal language in which this information is encoded. At least this appears to be an idea which suggests itself and which Peter Hacker expresses as follows. (shrink)

According to the mainstream view in philosophy today, the world is a purely physical system, in which consciousness emerged as a product of increasing biological complexity, from non-conscious precursors composed of non-conscious components. The mainstream view is a beautiful, grand vision of the universe. However, it leaves no real place for consciousness. This paper explains why.

I sketch an explanatory framework that fits a variety of contemporary research programs in cognitive science. I then investigate the scope and the implications of this framework. The framework emphasizes (a) the explanatory role played by the semantic content of cognitive representations, and (b) the important mechanistic, non-intentional dimension of cognitive explanations. I show how both of these features are present simultaneously in certain varieties of cognitive explanation. I also consider the explanatory role played by grounded representational content, that is, (...) content evaluated by appeal to its truth, falsity, accuracy, inaccuracy and other relational properties. (shrink)

This paper investigates whether, or not, the behavior of animals without speech can manifest beliefs and desires. Criteria for the attribution of such beliefs and desires are worked out with reference to Jonathan Bennett's theory of cognitive teleology: A particular ability for learning justifies attributing such beliefs and desires. The conceptual analysis is illustrated by examinations of cognitive ethology and considers higher-order intentionality. It is argued that the behavioral evidence only supports the attribution of first order beliefs and that languageless (...) animals therefore could not possess higher-order intentionality. They are only capable of forming simple, i.e., first-order beliefs about their environment. (shrink)

I begin with a rather unpromising dispute that Nozick once had with Ian Hacking in the pages of the London Review of Books, in which both vied with one another in their enthusiasm to repudiate the thesis that some human people or peoples are closer than others to animality. I shall attempt to show that one can build, on the basis of Nozick’s discussion of rationality, a defense of the view that the capacity tor language places human rationality out of (...) reach of a comparison with animals. The difference rests, paradoxically, on the human capacity tor irratianality. Irrationality depends on the capacity tor language, which allows the detachment of explicit thoughts from their underlying dynamic implementation; these, in turn, condition the essential disputability of principles of rationality. That is what places every human potentially -- if not actually -- on the other side of an unbridgeable gulf that separates us from other animals. (shrink)

What counts as a computation and how it relates to cognitive function are important questions for scientists interested in understanding how the mind thinks. This paper argues that pragmatic aspects of explanation ultimately determine how we answer those questions by examining what is needed to make rigorous the notion of computation used in the (cognitive) sciences. It (1) outlines the connection between the Church-Turing Thesis and computational theories of physical systems, (2) differentiates merely satisfying a computational function from true computation, (...) and finally (3) relates how we determine a true computation to the functional methodology in cognitive science. All of the discussion will be directed toward showing that the only way to connect formal notions of computation to empirical theory will be in virtue of the pragmatic aspects of explanation. (shrink)

The view that the brain is a sort of computer has functioned as a theoretical guideline both in cognitive science and, more recently, in neuroscience. But since we can view every physical system as a computer, it has been less than clear what this view amounts to. By considering in some detail a seminal study in computational neuroscience, I first suggest that neuroscientists invoke the computational outlook to explain regularities that are formulated in terms of the information content of electrical (...) signals. I then indicate why computational theories have explanatory force with respect to these regularities:in a nutshell, they underscore correspondence relations between formal/mathematical properties of the electrical signals and formal/mathematical properties of the represented objects. I finally link my proposal to the philosophical thesis that content plays an essential role in computational taxonomy. (shrink)

In the present enterprise we take a look at the meaning of Autonomy, how the word has been employed and some of the consequences of its use in the sciences of the artificial. Could and should robots really be autonomous entities? Over and beyond this, we use concepts from the philosophy of mind to spur on enquiry into the very essence of human autonomy. We believe our initiative, as does Dennett's life-long research, sheds light upon the problems of robot design (...) with respect to their relation with humans. (shrink)

In his article “On Mechanical Recognition” R. J. Nelson brings to bear a branch of mathematical logic called automata theory on problems of artificial intelligence. Specifically he attacks the anti-mechanist claim that “[i]nasmuch as human recognition to a very great extent relies on context and on the ability to grasp wholes with some independence of the quality of the parts, even to fill in the missing parts on the basis of expectations, it follows that computers cannot in principle be programmed (...) to recognize or learn to recognize all patterns”, p. 24). Nelson proposes, contrary to this claim, that “gestalt recognition is not beyond digital automata”. in particular, he claims, he will establish by what he calls “Turing machine arguments” that the following four theses are true: automata can recognize different pattern types in one and the same set of instances;automata can recognize the “same” pattern in different sets of instances;automata can recognize incomplete, degraded patterns having missing or indeterminate parts;automata can recognize family resemblances. (shrink)

In the first part, the paper describes in detail the classical conception of intentionality which was expounded in its most sophisticated form by Edmund Husserl. This conception is today largely eclipsed in the philosophy of mind by the functionalist and by the representationalist account of intentionality, the former adopted by Daniel Dennett and David Chalmers, the latter by John Searle and Fred Dretske. The very considerable differences between the classical and the modern conceptions are pointed out, and it is argued (...) that the classical conception is more satisfactory than the two modern ones, not only regarding phenomenal adequacy, but also on the grounds of epistemological considerations. In the second part, the paper argues that classical intentionality is not naturalizable, that is, physicalizable. Since classical intentionality exists (in the experiences that display it), the non-naturalizability of classical intentionality implies psychophysical dualism. (shrink)

I wish to defend a functionalist approach to the mind-body problem. I use the word ‘functionalist’ with some reluctance, however; for although it has become the conventional label for the sort of approach taken by such philosophers as H. Putnam and D. C. Dennett, I believe it is somewhat misleading. The functionalist, as I understand him, tries to show how there can be machine analogues of mental states and then argues that just as we are not inclined to postulate an (...) ontological dualism between simulated mental states and the machine's physical states, we need not postulate a dualism between mind and body. The functionalist also argues, however, that it is wrong to identify the mental states or simulated mental states with the physical states.Recently functionalism has come under attack, first for not being a coherent alternative, and secondly for not being able to provide an adequate account of sensations. I believe that the first objection is misguided and shall deal with it in section I. However, I agree that functionalists have not provided an adequate account of sensations, but I shall try to help remedy this in section II. (shrink)