Naturalism is currently the most vibrantly developing approach to philosophy, with naturalised methodologies being applied across all the philosophical disciplines. One of the areas naturalism has been focussing upon is the mind, traditionally viewed as a topic hard to reconcile with the naturalistic worldview. A number of questions have been pursued in this context. What is the place of the mind in the world? How should we study the mind as a natural phenomenon? What is the significance of cognitive science (...) research for philosophical debates? In this book, philosophical questions about the mind are asked in the context of recent developments in cognitive science, evolutionary theory, psychology, and the project of the naturalisation. Much of the focus is upon what we have learned by studying natural mental mechanisms as well as designing artificial ones. In the case of natural mental mechanisms, this includes consideration of such issues as the significance of deficits in these mechanisms for psychiatry. The significance of the evolutionary context for mental mechanisms as well as questions regarding rationality and wisdom is also explored. Mechanistic and functional models of the mind are used to throw new light on discussions regarding issues of explanation, reduction and the realisation of mental phenomena. Finally, naturalistic approaches are used to look anew at such traditional philosophical issues as the correspondence of mind to world and presuppositions of scientific research. (shrink)

The introduction to the volume and the overview of the idea of naturalizing the mind.

The contributors to this volume engage with issues of normativity within naturalised philosophy. The issues are critical to naturalism as most traditional notions in philosophy, such as knowledge, justification or representation, are said to involve normativity. Some of the contributors pursue the question of the correct place of normativity within a naturalised ontology, with emergentist and eliminativist answers offered on neighbouring pages. Others seek to justify particular norms within a naturalised framework, the more surprising ones including naturalist takes on the (...) a priori and intuitions. Finally, yet others examine concrete examples of the application of norms within particular epistemic endeavours, such as psychopathology and design. The overall picture is that of an intimate engagement with issues of normativity on the part of naturalist philosophers – questioning some of the fundamentals at the same time as they try to work out many of the details. (shrink)

"Konrad Talmont-Kaminski offers a very thoughtful and thought-provoking critique of the field and an alternative approach to magic, religion, and science that should spark some debate and further research Talmont-Kaminski has thrown down a challenge to the mainstream of anthropological thought about religion, and it is a challenge that we necessarily and gladly pick up." -- Anthropology Review Database "A philosophical naturalist's delight, this book - crisply written and carefully argued - weaves together insights about (...) evolution, mind, and society to explain how religions work and how secularisation threatens them." - Robert N. McCauley, Emory University Is religious belief a product of the mind? This book brings to light the multifaceted relationship between reason and religion. Religion as Magical Ideology examines the relationship between rationality and supernatural beliefs arguing that such beliefs are products of evolution, cognition and culture. The book does not offer a false rapprochement between reason and religion; instead, it explores their interrelationship as a series of complex adaptations between cognitive and cultural processes. Exploring the nature of the tension between religious traditions and reason, Religion as Magical Ideology develops a dual inheritance theory of religion - which combines the cognitive byproduct and prosocial adaptation accounts - and analyses the connection between the function of a belief and the degree of protection it gets from potential counter-evidence. With discussion ranging from individual cognitive mechanisms, general functional considerations, to the limits of evolutionary and cognitive processes, the book offers readers a systematic account of how cognition shapes religious beliefs and practices. (shrink)

Formal pragmatics plays an important, though secondary, role in modern analytical philosophy of language: its aim is to explain how context can affect the meaning of certain special kinds of utterances. During recent years, the adequacy of formal tools has come under attack, often leading to one or another form of relativism or antirealism. Our aim will be to extend the critique to formal pragmatics while showing that sceptical conclusions can be avoided by developing a different approach to the issues. (...) In particular, we will show that formal pragmatics cannot provide a complete account of how context affects the meaning of utterances, both on its own terms and when faced with evidence of important aspects of natural languages. The focal issue is the relevant kind of context in which pragmatics should examine utterances. Our contention will be that the relevant context of an utterance is determined by the function of that utterance, this function being dependent upon the primary function of language – to convey information. We will argue that the functions of utterances and of language are too broad to be caught by the tools of formal pragmatics of the sort advocated by Montague (1968, 1974), which are an extension the methods of traditional model-theoretic semantics. The particular formal approach we will use as the main example is David Kaplan’s position (1979, 1989), an extension of Montague’s program. (shrink)

Prof. Wójcicki calls his position ‘radically pragmatist’. I will argue, however, that it is not nearly pragmatic enough. In particular, I will argue that his view is not pragmatist enough in three vital respects - even though it greatly improves upon how these issues have been traditionally dealt with.

Communication is an essentially cooperative activity. However, cooperation only makes sense in a particular kind of environment – one in which cooperation leads to shared benefits. This can be seen once we take Grice’s Cooperative Principle and consider its implications in the general context of game theory. The effect is that something like metaphysical realism underpins normal human discourse, such discourse becoming impossible without that presumption.

Religious beliefs, it has been noted, are often hard to disprove. While this would be a shortcoming for beliefs whose utility was connected to their accuracy, it is actually necessary in the case of beliefs whose function bears no connection to how accurate they are. In the case of religions and other ideologies that serve to promote prosocial behaviour this leads to the need to protect belief systems against potentially disruptive counterevidence while maintaining their relevance. Religions turn out to be (...) particularly adept at this because of the use they make of existing cognitive by-products to make them plausible without exposingthem overly to investigation. (shrink)

Both science and religion are human endeavours that recruit and modify pre-existing human capacity to engage in epistemic vigilance. However, while science relies upon a focus on content vigilance, religion focusses on source vigilance. This difference is due, in turn, to the function of religious claims not being connected to their accuracy – unlike the function of scientific claims. Understanding this difference helps to understand many aspects of scientific and religious institutions.

I will put forward a short, simple argument for a pair of realist claims: metaphysical realism and what I will refer to as epistemological realism. The argument will rely upon nothing more than our apparent memories. Having presented the argument, I will go on to consider possible objections to it, of which there will be a number but none of which will do more than complicate the matter. The argument I present borrows from Peirce’s view that the world’s capacity to (...) surprise us plays a vital role in guiding us toward truth, and from the argument to the best explanation. However, it combines the two views in a way I have not seen done previously. (shrink)

McKay & Dennett (M&D) look for adaptive misbeliefs that result from the normal, though fallible, functioning of human cognition. Their account can be substantially improved by the addition of two elements: (1) significance of a belief's testability for its functionality, and (2) an account of reason appropriate to understanding systemic misbelief. Together, these points show why religion probably is an adaptive misbelief.

Pascal described human beings as ‘thinking reeds’, weak in flesh but magnificent in mind. While it is a poetic image, it is also an ambivalent one and may suggest an inappropriately dualist view of human nature. It is important to realise that not only are we thinking reeds but that we are thinking because we are reeds. In fact, rationality is reed-like itself, very much of a kind with the rest of human nature. It is now more than two and (...) half centuries since David Hume first pointed out the lack of an argument that would fully justify claims about matters of fact. Being neither made evident by our observations nor arising out of the mere considera-tion of relations of ideas, claims such as that the turkey will be fed dinner tomo-rrow – rather than being had for dinner have remained problematic ever since. Many attempts have been made to show that something of the beauty and certainty of reasoning about relations of ideas could be recaptured in our dealings with matters of fact, but all attempts have remained mere shadows of what we tried to grasp. Hume’s argument stands. An infinite being might watch countless sun-sets and yet should witness each new sun-rise with surprise, always withholding its judgement regarding what will follow. (shrink)

To account for a perceived distinction it is necessary to postulate a real distinction. Our process of experiencing the world is one of, mostly unconscious, interpretation of observed distinctions to provide us with a partial world-picture that is sufficient to guide action. The distinctions, themselves, are acorrigible (they do not have a truth value), directly perceived, structured, and capable of being interpreted. Interpreted experience is corrigible, representational and capable of guiding action. Since interpretation is carried out mostly unconsciously and in (...) real time, the two aspects are present in experience together so that it is difficult to separate them out. (shrink)

Sellars’ argument against The Given has set the scene for much of the discussion of the role of experience in justification. Susan Haack tries to avoid the objection presented by Sellars and to give experience a role in the justification of beliefs. Her approach is to put forward a double aspect theory of justification consisting of a logical/evaluative aspect and a causal aspect. Like other double aspect theories, her approach is led astray by the possibility of deviant causal chains. Her (...) argument’s shortcomings, however, only help to underscore the false assumption behind Sellars’ original argument – that justification is purely logical in character. But, rather than arguing that justification is logical and causal, we are led toward to a view that the character of justification, while essentially normative, is much richer than can be modelled by logic. (shrink)

We investigate some logics with Henkin quantifiers. For a given logic L, we consider questions of the form: what is the degree of the set of L–tautologies in a poor vocabulary (monadic or empty)? We prove that the set of tautologies of the logic with all Henkin quantifiers in empty vocabulary L*∅ is of degree 0’. We show that the same holds also for some weaker logics like L ∅(Hω) and L ∅(Eω). We show that each logic of the form (...) L ∅ (k)(Q), with the number of variables restricted to k, is decidable. Nevertheless – following the argument of M. Mostowski from [Mos89] – for each reasonable set theory no concrete algorithm can provably decide L (k) (Q), for some (Q). We improve also some results related to undecidability and expressibility for logics L(H4) and L(F2) of Krynicki and M. Mostowski from [KM92]. (shrink)

The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...) argue that large-scale simulations require that the explanandum phenomenon is identified; otherwise, the explanatory value of such explanations is difficult to establish, and testing the model empirically by comparing its behavior with the explanandum remains practically impossible. The completeness of the explanation, and hence of the explanatory value of the explanatory model, is to be assessed vis-à-vis the explanandum phenomenon, which is not to be conflated with raw observational data and may be idealized. I argue that idealizations, which include building models of a single phenomenon displayed by multi-functional mechanisms, lumping together multiple factors in a single causal variable, simplifying the causal structure of the mechanisms, and multi-model integration, are indispensable for complex systems such as brains; otherwise, the model may be as complex as the explanandum phenomenon, which would make it prone to so-called Bonini paradox. I conclude by enumerating dimensions of empirical validation of explanatory models according to new mechanism, which are given in a form of a “checklist” for a modeler. (shrink)

In the book, I argue that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. All these capacities arise from complex information-processing operations of the mind. By analyzing the state of the art in cognitive science, I develop an account of computational explanation used to explain the capacities in question.

The predictive processing account of action, cognition, and perception is one of the most influential approaches to unifying research in cognitive science. However, its promises of grand unification will remain unfulfilled unless the account becomes theoretically robust. In this paper, we focus on empirical commitments of PP, since they are necessary both for its theoretical status to be established and for explanations of individual phenomena to be falsifiable. First, we argue that PP is a varied research tradition, which may employ (...) various kinds of scientific representations, differing in the scope of empirical commitments they entail. Two major perspectives on PP qua cognitive theory may then be distinguished: generalized vs. hierarchical. The first one fails to provide empirical detail, and the latter constrains possible physical implementations. However, we show that even hierarchical PP is insufficiently restrictive to disallow incorrect models and may be adjusted to explain any neurocognitive phenomenon–including non-existent or impossible ones–through flexible adjustments. This renders PP a universal modeling tool with an unrestricted number of degrees of freedom. Therefore, in contrast with declarations of its proponents, it should not be understood as a unifying theoretical perspective, but as a computational framework, possibly informing further theory development in cognitive science. (shrink)

In this paper, I want to deal with the triviality threat to computationalism. On one hand, the controversial and vague claim that cognition involves computation is still denied. On the other, contemporary physicists and philosophers alike claim that all physical processes are indeed computational or algorithmic. This claim would justify the computationalism claim by making it utterly trivial. I will show that even if these two claims were true, computationalism would not have to be trivial.

In this paper, I suggest that the notion of module explicitly defined by Peter Carruthers in The Architecture of The Mind (Carruthers 2006) is not really In use in the book. Instead, a more robust notion seems to be actually in play. The more robust notion, albeit implicitly assumed, seems to be far more useful for making claims about the modularity of mind. Otherwise, the claims would become trivial. This robust notion will be reconstructed and improved upon by putting it (...) into a more general framework of mental architecture. I defend the view that modules are the outcome of structural rather than functional decomposition and that they should be conceived as near decomposable systems. (shrink)

I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.

In this paper, I focus on a problem related to teleological theories of content namely, which notion of function makes content causally relevant? It has been claimed that some functional accounts of content make it causally irrelevant, or epiphenomenal; in which case, such notions of function could no longer act as the pillar of naturalized semantics. By looking closer at biological questions about behavior, I argue that past discussion has been oriented towards an ill-posed question. What I defend is a (...) Very Boring Hypothesis: depending on the representational phenomenon and the explanatory question, different aspects might be important, and it is difficult to say a priori which ones these might be. There are multiple facets to biological functionality and causality relevant for explaining representational phenomena, and ignoring them will lead to unmotivated simplifications. In addition, accounting for different facets of functionality helps dispense with intuition-based specifications of cognitive phenomena. (shrink)

A novel account of semantic information is proposed. The gist is that structural correspondence, analysed in terms of similarity, underlies an important kind of semantic information. In contrast to extant accounts of semantic information, it does not rely on correlation, covariation, causation, natural laws, or logical inference. Instead, it relies on structural similarity, defined in terms of correspondence between classifications of tokens into types. This account elucidates many existing uses of the notion of information, for example, in the context of (...) scientific models and structural representations in cognitive science. It is poised to open a new research program concerned with various kinds of semantic information, its functions, and its measurement. (shrink)

In this paper, Nietzsche's interpretation of Epicurus is sketched. The ancient philosopher is seen as subscribing to 'idyllic heroism', i.e., heroically adopting an idyllic way of life.

Multiple realizability (MR) is traditionally conceived of as the feature of computational systems, and has been used to argue for irreducibility of higher-level theories. I will show that there are several ways a computational system may be seen to display MR. These ways correspond to (at least) five ways one can conceive of the function of the physical computational system. However, they do not match common intuitions about MR. I show that MR is deeply interest-related, and for this reason, difficult (...) to pin down exactly. I claim that MR is of little importance for defending computationalism, and argue that it should rather appeal to organizational invariance or substrate neutrality of computation, which are much more intuitive but cannot support strong antireductionist arguments. (shrink)

Alan Turing’s influence on subsequent research in artificial intelligence is undeniable. His proposed test for intelligence remains influential. In this paper, I propose to analyze his conception of intelligence by relying on traditional close reading and language technology. The Turing test is interpreted as an instance of conceptual engineering that rejects the role of the previous linguistic usage, but appeals to intuition pumps instead. Even though many conceive his proposal as a prime case of operationalism, it is more plausibly viewed (...) as a stepping stone toward a future theoretical construal of intelligence in mechanical terms. To complete this picture, his own conceptual network is analyzed through the lens of distributional semantics over the corpus of his written work. As it turns out, Turing’s conceptual engineering of the notion of intelligence is indeed quite similar to providing a precising definition with the aim of revising the usage of the concept. However, that is not its ultimate aim: Turing is after a rich theoretical understanding of thinking in mechanical, i.e., computational, terms. (shrink)

I argue that influential purely syntactic views of computation, shared by such philosophers as John Searle and Hilary Putnam, are mistaken. First, I discuss common objections, and during the discussion I mention additional necessary conditions of implementation of computations in physical processes that are neglected in classical philosophical accounts of computation. Then I try to show why realism in regards of physical computations is more plausible, and more coherent with any realistic attitude towards natural science than the received view, and (...) distinguish computational simulation, implementation, and re-engineering. I also point out the sources of confusion about what computation is that seem to stem from disregarding the use/mention distinction. (shrink)

The debate between the defenders of explanatory unification and explanatory pluralism has been ongoing from the beginning of cognitive science and is one of the central themes of its philosophy. Does cognitive science need a grand unifying theory? Should explanatory pluralism be embraced instead? Or maybe local integrative efforts are needed? What are the advantages of explanatory unification as compared to the benefits of explanatory pluralism? These questions, among others, are addressed in this Synthese’s special issue. In the introductory paper, (...) we discuss the background of the questions, distinguishing integrative theorizing from building unified theories. On the one hand, integrative efforts involve collaboration between various disciplines, fields, approaches, or theories. These efforts could even be quite temporary, without establishing any long-term institutionalized fields or disciplines, but could also contribute to developing new interfield theories. On the other hand, unification can rely on developing complete theories of mechanisms and representations underlying all cognition, as Newell’s “unified theories of cognition”, or may appeal to grand principles, as predictive coding. Here, we also show that unification in contemporary cognitive science goes beyond reductive unity, and may involve various forms of joint efforts and division of explanatory labor. This conclusion is one of the themes present in the content of contributions constituting the special issue. (shrink)

The Computational Theory of Mind (CTM) holds that the mind is a computer and that cognition is the manipulation of representations. CTM is commonly viewed as the main hypothesis in cognitive science, with classical CTM (related to the Language of Thought Hypothesis) being the most popular variant. However, other computational accounts of the mind either reject LOTH or do not subscribe to RTM. CTM proponents argue that it clarifies how thought and content are causally relevant in the physical world, and (...) they frame this argument in terms of the physical symbol hypothesis, formalism, or syntactic engines. This article focuses on specific problems with CTM, with four main sections covering the introduction of the three main variants of CTM, the most important conceptions of computational explanation in cognitive science, skeptical arguments against CTM raised by Hilary Putnam, and common objections to CTM. (shrink)

A companion to the issues in the contemporary philosophy of mind.

In this chapter, I argue that some aspects of cognitive phenomena cannot be explained computationally. In the first part, I sketch a mechanistic account of computational explanation that spans multiple levels of organization of cognitive systems. In the second part, I turn my attention to what cannot be explained about cognitive systems in this way. I argue that information-processing mechanisms are indispensable in explanations of cognitive phenomena, and this vindicates the computational explanation of cognition. At the same time, it has (...) to be supplemented with other explanations to make the mechanistic explanation complete, and that naturally leads to explanatory pluralism in cognitive science. The price to pay for pluralism, however, is the abandonment of the traditional autonomy thesis asserting that cognition is independent of implementation details. (shrink)

In this chapter, I sketch the history of mechanistic models of the mental, as related to the technological project of trying to build mechanical minds, and discuss the contemporary debates on psychological and cognitive explanations. In the first section, I introduce the Cartesian notion of mechanism, which has shaped the debate in the centuries to follow. Early mechanistic proposals are also connected with early attempts to formulate the computational account of thinking and reasoning, upheld notably by Hobbes and Leibniz. In (...) the second section, associationist and behaviorist models of the mind are sketched, along with attempts to understand the neural system in terms of connections and associations. Early robotic models, built mostly by behaviorists and other students of animal behavior, are also introduced. In the third section, the focus is on early computational and cybernetic models of the mind. In the fourth section, I deal with computational models of mental mechanisms as proposed by students of artificial intelligence and cognitive science. Then, I sketch the contemporary debate over the question whether computational and psychological models are best understood as offering functional, or maybe mechanistic explanations. (shrink)