Within AI and the cognitively related disciplines, there exist a multiplicity of uses of belief. On the face of it, these differing uses reflect differing views about the nature of an objective phenomenon called belief. In this paper I distinguish six distinct ways in which belief is used in AI. I shall argue that not all these uses reflect a difference of opinion about an objective feature of reality. Rather, in some cases, the differing uses reflect differing concerns with special (...) AI applications. In other cases, however, genuine differences exist about the nature of what we pre-theoretically call belief. To an extent the multiplicity of opinions about, and uses of belief, echoes the discrepant motivations of AI researchers. The relevance of this discussion for cognitive scientists and philosophers arises from the fact that (a) many regard theoretical research within AI as a branch of cognitive science, and (b) even if theoretical AI is not cognitive science, trends within AI influence theories developed within cognitive science. It should be beneficial, therefore, to unravel the distinct uses and motivations surrounding belief, in order to discover which usages merely reflect differing pragmatic concerns, and which usages genuinely reflect divergent views about reality. (shrink)

The notion of bounded rationality has recently gained considerable popularity in the behavioural and social sciences. This article surveys the different usages of the term, in particular the way ‘anomalosus’ behavioural phenomena are elicited, how these phenomena are incorporated in model building, and what sort of new theories of behaviour have been developed to account for bounded rationality in choice and in deliberation. It also discusses the normative relevance of bounded rationality, in particular as a justifier of non‐standard reasoning and (...) deliberation heuristics. For each of these usages, the overview discusses the central methodological problems. (shrink)

Working memory is a foundational construct of cognitive psychology, where it is thought to be a capacity that enables us to keep information in mind and to use that information to support goal directed behavior. Philosophers have recently employed working memory to explain central cognitive processes, from consciousness to reasoning. In this paper, I show that working memory cannot meet even a minimal account of natural kindhood, as the functions of maintenance and manipulation of information that tie working memory models (...) and theories together do not have a coherent or univocal realizer in the brain. As such, working memory cannot explain central cognition. Rather, I argue that working memory merely redescribes its target phenomenon, and in doing so it obfuscates relevant distinctions amongst the many ways that brains like ours retain and transform information in the service of cognition. While this project ultimately erodes the explanatory role that working memory has played in our understanding of cognition, it simultaneously prompts us to evaluate the function of natural kinds within cognitive science, and signals the need for a productive pessimism to frame our future study of cognitive categories. (shrink)

The paper is concerned with the psychological relevance of a logical model for deductive reasoning. We propose a new way to analyze logical reasoning in a deductive version of the Mastermind game implemented within a popular Dutch online educational learning system (Math Garden). Our main goal is to derive predictions about the difficulty of Deductive Mastermind tasks. By means of a logical analysis we derive the number of steps needed for solving these tasks (a proxy for working memory load). Our (...) model is based on the analytic tableaux method, known from proof theory. We associate the difficulty of Deductive Mastermind game-items with the size of the corresponding logical trees obtained by the tableaux method. We derive empirical hypotheses from this model. A large group of students (over 37 thousand children, 5–12 years of age) played the Deductive Mastermind game, which gave empirical difficulty ratings of all 321 game-items. The results show that our logical approach predicts these item ratings well, which supports the psychological relevance of our model. (shrink)

There is a distinction between merely having the right belief, and further basing that belief on the right reasons. Any adequate epistemology needs to be able to accommodate the basing relation that marks this distinction. However, trouble arises for Bayesianism. I argue that when we combine Bayesianism with the standard approaches to the basing relation, we get the result that no agent forms their credences in the right way; indeed, no agent even gets close. This is a serious problem, for (...) it prevents us from making epistemic distinctions between agents that are doing a reasonably good job at forming their credences and those that are forming them in clearly bad ways. I argue that if this result holds, then we have a problem for Bayesianism. However, I show how the Bayesian can avoid this problem by rejecting the standard approaches to the basing relation. By drawing on recent work on the basing relation, we can develop an account of the relation that allows us to avoid the result that no agent comes close to forming their credences in the right way. The Bayesian can successfully accommodate the basing relation. (shrink)

Many of our beliefs behave irrationally: this is hardly news to anyone. Although beliefs’ irrational tendencies need to be taken into account, this paper argues that beliefs necessarily preserve at least a minimal level of rationality. This view offers a plausible picture of what makes belief unique and will help us to set beliefs apart from other cognitive attitudes.

Do accounts of scientific theory formation and revision have implications for theories of everyday cognition? We maintain that failing to distinguish between importantly different types of theories of scientific inference has led to fundamental misunderstandings of the relationship between science and everyday cognition. In this article, we focus on one influential manifestation of this phenomenon which is found in Fodor's well-known critique of theories of cognitive architecture. We argue that in developing his critique, Fodor confounds a variety of distinct claims (...) about the holistic nature of scientific inference. Having done so, we outline more promising relations that hold between theories of scientific inference and ordinary cognition. (shrink)

In the study of cognitive processes, limitations on computational resources (computing time and memory space) are usually considered to be beyond the scope of a theory of competence, and to be exclusively relevant to the study of performance. Starting from considerations derived from the theory of computational complexity, in this paper I argue that there are good reasons for claiming that some aspects of resource limitations pertain to the domain of a theory of competence.

Bayesian epistemologists support the norms of probabilism and conditionalization using Dutch book and accuracy arguments. These arguments assume that rationality requires agents to maximize practical or epistemic value in every doxastic state, which is evaluated from a subjective point of view (e.g., the agent’s expectancy of value). The accuracy arguments also presuppose that agents are opinionated. The goal of this paper is to discuss the assumptions of these arguments, including the measure of epistemic value. I have designed AI agents based (...) on the Bayesian model and a nonmonotonic framework and tested how they achieve practical and epistemic value in conditions in which an alternative set of assumptions holds. In one of the tested conditions, the nonmonotonic agent, which is not opinionated and fulfills neither probabilism nor conditionalization, outperforms the Bayesian in the measure of epistemic value that I argue for in the paper (α-value). I discuss the consequences of these results for the epistemology of rationality. (shrink)

The requirements of rationality are fundamental in practical and theoretical philosophy. Nonetheless, there exists no correct account of what constitutes rational requirements. This paper attempts to provide a correct constitutive account of ‘rationality requires’. I argue that rational requirements are grounded in ‘necessary explanations of subjective incoherence’, as I shall put it. Rationality requires of you to X if and only if your rational capacities, in conjunction with the fact that you not-X, explain necessarily why you have a non-maximal degree (...) of subjective coherence. (shrink)

Philosophy of the Social Sciences, Volume 51, Issue 6, Page 574-599, December 2021. In “Different Cultures, Different Rationalities” Stephen Lukes weighs in on the controversies concerning the killing of Captain Cook by Hawaiians and what it says about the role of rationality assumptions in translation. While at first seeming to adopt a Davidsonian anti-relativist position concerning the enabling role of assumptions of common rationality in interpretation, Lukes rejects Davidson’s view, and opts instead for a “totalizing” strategy inspired by Mauss. Here (...) I explore rationales for Lukes’ position and endeavor to reconcile Lukes’, Davidson’s, and Mauss’s positions by developing a case for a limited interpretive requirement of shared rationality. (shrink)

I argue for the thesis (UL) that there are certain logical abilities that any rational creature must have. Opposition to UL comes from naturalized epistemologists who hold that it is a purely empirical question which logical abilities a rational creature has. I provide arguments that any creatures meeting certain conditions—plausible necessary conditions on rationality—must have certain specific logical concepts and be able to use them in certain specific ways. For example, I argue that any creature able to grasp theories must (...) have a concept of conjunction subject to the usual introduction and elimination rules. I also deal with disjunction, conditionality and negation. Finally, I put UL to work in showing how it could be used to define a notion of logical obviousness that would be well suited to certain contexts—e.g. radical translation and epistemic logic—in which a concept of obviousness is often invoked. (shrink)

Normativism, the approach that judges human rationality by comparison against normative standards, has recently come under intensive criticism as unsuitable for psychological enquiry, and it has been suggested that it should be replaced with a descriptivist paradigm. My goal in this paper is to outline and defend a meta-theoretical framework of such a paradigm, grounded rationality, based on the related principles of descriptivism and (moderate) epistemic relativism. Bounded rationality takes into account universal biological and cognitive limitations on human rationality. Grounded (...) rationality accepts universal constraints but adds cognitive variability: Within-individual variability (dual processing), and individual as well as cultural differences. I discuss the implications of grounded rationality to dual processing, proposing that investing limited cognitive resources in analytic processing might be less instrumentally rational for individuals with low cognitive ability. (shrink)

This paper is about guessing: how people respond to a question when they aren’t certain of the answer. Guesses show surprising and systematic patterns that the most obvious theories don’t explain. We argue that these patterns reveal that people aim to optimize a tradeoff between accuracy and informativity when forming their guess. After spelling out our theory, we use it to argue that guessing plays a central role in our cognitive lives. In particular, our account of guessing yields new theories (...) of belief, assertion, and the conjunction fallacy—the psychological finding that people sometimes rank a conjunction as more probable than one of its conjuncts. More generally, we suggest that guessing helps explain how boundedly rational agents like us navigate a complex, uncertain world. (shrink)

Over the years I’ve written many papers defending an idiosyncratic version of interest-relative epistemology. This book collects and updates the views I’ve expressed over those papers. -/- Interest-relative epistemologies all start in roughly the same way. A big part of what makes knowledge important is that it rationalises action. But for almost anything we purportedly know, there is some action that it wouldn’t rationalise. I know what I had for breakfast, but I wouldn’t take a bet at billion to one (...) odds about it. Knowledge has practical limits. The first idiosyncratic feature of my version of interest-relative epistemology is how those limits are identified. Other interest-relative philosophers typically say that the limits have to do with stakes; in high stakes situations knowledge goes away. That’s no part of my view. I think knowledge goes away in long odds situations. High stakes situations are almost always are long odds situations, for reasons to do with the declining marginal utility of money. But the converse isn’t true. On my view, knowledge often goes away in cases where it is trivial to check before action. This idea, that interests matter in long odds cases, and not just in high stakes cases, is the main constant in what I’ve written on interest-relativity over the years. -/- But there are three other respects in which the view I’m going to set out and defend in this book is very different from the view I set out in older papers. -/- I used to identify the practical limits on knowledge with cases where relying on the purported knowledge would get the wrong answer. I focused, that is, on the outputs of inquiry. Knowledge goes away if relying on it would lead one to make a mistake. I now think I was looking at the wrong end of inquiry. Knowledge goes away if the thinker starts conducting an inquiry where the purported knowledge is an inappropriate starting point, and inappropriate for the special reason that it might be false. Now one way we can tell that something is a bad starting point is that starting there will mean we end up at the wrong place. But it’s not the only way. Sometimes a bad starting point will lead to the right conclusion for the wrong reasons. As the Nyāya philosophers argued, rational inquiry starts with knowledge. If it would be irrational to start this inquiry with a particular belief, that belief isn’t knowledge. -/- Not all inquiries are practical inquiries, but many are. And practical inquiries are usually going to be at the center of attention in this book. But what is someone trying to figure out when they conduct a practical inquiry? I used to think that they were trying to figure out which option maximised expected utility, and to a first approximation identified knowledge with those things one could conditionalise on without changing the option that maximised expected utility. As noted in the previous paragraph, I no longer think that we can identify knowledge with what doesn’t change our verdicts. But more importantly, I no longer think that expected utility maximisation is as central to practical inquiry as I once did. There are some theoretical reasons from game theory that raise some doubts about expected utility maximisation. Weak dominance reasoning is part of our theory of rational choice, and can’t be modelled as expected utility maximisation. Perhaps some kinds of equilibrium seeking are parts of practical inquiry, and can’t be modelled as expected utility maximisation. But there are also very practical reasons to think that practical inquiry doesn’t aim at expected utility maximisation. When there are a lot of very similar options - think about selecting a can from a supermarket shelf - and it’s more trouble than it’s worth to figure out which of them maximises expected utility, it’s best to ignore the differences between them and just pick. As I’ll argue in Chapter 6, this makes a big difference to how interests and knowledge interact. -/- In the version of interest-relativity that I’m defending here, everything in epistemology is interest-relative. Knowledge, rational belief, and evidence are all interest-relative. But they are all interest-relative in slightly different ways. The main aim here is to defend the interest-relativity of knowledge. A common objection to interest-relative theories of knowledge is that they can’t be extended into theories of all the things we care about in epistemology. Here I try to meet that challenge. The way I do so is a little messy. It would be nice if there was some part of epistemology that’s interest-invariant, as I used to think, or if all the interest-relative notions were interest-relative in the same way, as other interest-relative epistemologists argue. For better or worse, that’s not the view I’m defending. Interests matter throughout epistemology, and we just have to go case by case to figure out how and why they matter. (shrink)

The book presents the various theories of intentionality from Brentano and Husserl to present day (1997) theories on mental content, narrow and broad.

This book is a sustained defense of the compatibility of the presence of idealizations in the sciences and scientific realism. So, the book is essentially a detailed response to the infamous arguments raised by Nancy Cartwright to the effect that idealization and scientific realism are incompatible.

Philosophy and Memory Traces defends two theories of autobiographical memory. One is a bewildering historical view of memories as dynamic patterns in fleeting animal spirits, nervous fluids which rummaged through the pores of brain and body. The other is new connectionism, in which memories are 'stored' only superpositionally, and reconstructed rather than reproduced. Both models, argues John Sutton, depart from static archival metaphors by employing distributed representation, which brings interference and confusion between memory traces. Both raise urgent issues about control (...) of the personal past, and about relations between self and body. Sutton demonstrates the role of bizarre body fluids in moral physiology, as philosophers from Descartes and Locke to Coleridge struggled to control their own innards and impose cognitive discipline on 'the phantasmal chaos of association'. Going on to defend connectionism against Fodor and critics of passive mental representations, he shows how problems of the self are implicated in cognitive science. (shrink)

What is the mind? Is consciousness a process in the brain? How do our minds represent the world? Philosophy of Mind: Classical and Contemporary Readings is a grand tour of writings on these and other perplexing questions about the nature of the mind. The most comprehensive collection of its kind, the book includes sixty-three selections that range from the classical contributions of Descartes to the leading edge of contemporary debates. Extensive sections cover foundational issues, the nature of consciousness, and the (...) nature of mental content. Three of the selections are published here for the first time, while many other articles have been revised especially for this volume. Each section opens with an introduction by the editor. Philosophy of Mind is suitable for students at all levels and also for general readers. (shrink)

Epistemologists have recently proposed a number of norms governing rational inquiry. My aim in this paper is to unify and explain recently proposed norms of inquiry by developing a general account of the conditions under which inquiries are rational, analogous to theories such as evidentialism and reliabilism for rational belief. I begin with a reason-responsiveness conception of rationality as responding correctly to possessed normative reasons. I extend this account with a series of claims about the normative reasons for inquiry that (...) we possess. I apply the account to shed light on two classes of norms that have featured prominently in recent discussions: norms of clutter avoidance forbidding agents from engaging in trivial inquiries, and norms of logical non-omniscience governing properties such as the deductive closure and consistency of an agent's belief state. I conclude with a discussion of the sense in which norms of inquiry should be regarded as epistemic norms. (shrink)

Formally-inclined epistemologists often theorize about ideally rational agents--agents who exemplify rational ideals, such as probabilistic coherence, that human beings could never fully realize. This approach can be defended against the well-know worry that abstracting from human cognitive imperfections deprives the approach of interest. But a different worry arises when we ask what an ideal agent should believe about her own cognitive perfection (even an agent who is in fact cognitively perfect might, it would seem, be uncertain of this fact). Consideration (...) of this question reveals an interesting feature of the structure of our epistemic ideals: for agents with limited information, our epistemic ideals turn out to conflict with one another. (shrink)

Theories of rational decision making often abstract away from computational and other resource limitations faced by real agents. An alternative approach known as resource rationality puts such matters front and center, grounding choice and decision in the rational use of finite resources. Anticipated by earlier work in economics and in computer science, this approach has recently seen rapid development and application in the cognitive sciences. Here, the theory of rationality plays a dual role, both as a framework for normative assessment (...) and as a source of scientific hypotheses about how mental processes in fact work. The latter project, often called rational analysis, depends for its success on a fine-grained characterization of the computational problem facing a decision maker, which may in turn depend on realistic assumptions about what the relevant agent is like. As a consequence, resource rationality involves a delicate, but often fruitful interplay between the normative and the descriptive. (shrink)

According to Church’s thesis, we can identify the intuitive concept of effective computability with such well-defined mathematical concepts as Turing computability and partial recursiveness. The almost universal acceptance of Church’s thesis among logicians and computer scientists is puzzling from some epistemological perspectives, since no formal proof is possible of a thesis that involves an informal concept such as effectiveness. Elliott Mendelson has recently argued, however, that equivalencies between intuitive notions and precise notions need not always be considered unprovable theses, and (...) that Church’s thesis should be accepted as true.I want to discuss a thesis that is nearly as important in current research in computer science as Church’s thesis. I call the newer thesis the tractability thesis, since it identifies the intuitive class of computationally tractable problems with a precise class of problems whose solutions can be computed in polynomial time. After briefly reviewing the theory of intractability, I compare the grounds for accepting the tractability thesis with the grounds for accepting Church's thesis. Intimately connected with the tractability thesis is the mathematical conjecture, whose meaning I shall shortly explain, that P≠NP. Unlike Church's thesis, this conjecture is precise enough to be capable of mathematical proof, but most computer scientists believe it even though no proof has been found. As we shall see below, understanding the grounds for acceptance of the conjecture that P≠NP has implications for general questions in the philosophy of mathematics and science, especially concerning the epistemological importance of explanatory and conceptual coherence. (shrink)

The present thesis surveys different philosophical approaches to the nature of delusions: specifically, their ontology. However, since none of the various theories of the nature of delusions succeeds, I argue that there must be something problematic about the form of the analyses commonly offered. My general conclusion is that one cannot characterize delusions without taking away what it is distinctive about them.

Explains the concept and conceptions of public justification found in the philosophy and political theory literatures.

To the extent that the performance of embodied and situated cognitive agents is predicated on fore- thought;such agents must remember; and learn from; the past to predict the future. In complex; non-stationaryenvironments; such learning is facilitated by an intrinsic motivation to seek novelty. A significant part of anagent’s identity is thus constituted by its remembered distilled cumulative life experience; which the agent isdriven to constantly expand. The combination of the drive to novelty with practical limits on memorycapacity posits a problem. (...) On the one hand; because novelty seekers are unhappy when bored; merelyreliving past positive experiences soon loses its appeal: happiness can only be attained sporadically; via anopen-ended pursuit of new experience. On the other hand; because the experiencer’s memory is finite;longevity and continued novelty; taken together; imply eventual loss of at least some of the stored content;and with it a disruption of the constructed identity. In this essay; I examine the biobehavioral and cognitive-computational circumstances that give rise to this problem and explore its implications for the humancondition. (shrink)

Explicatures are not cancellable. Theoretical considerations.

Summary of Anna Pilatova’s doctoral thesis A User’s Guide to Proper Names, Their Semantics And Pragmatics The origins of this work go all the way back to my reading of Kripke’s Naming and Necessity in 1993. It had left me with a feeling of dissatisfaction that lingered long enough to inspire my MA thesis (on Internalism and Externalism in the Theories of Reference), and finally inspired the current work. Over time, I became acquainted with other influential accounts of reference of (...) proper names, but my unease with essentialism and wariness of direct designation remained. In the User’s Guide to Proper Names, I seized the opportunity to analyse what I thought was problematic with the mainstream theories of reference of proper names. I tried to tease apart a number of related doctrines about the behaviour of proper names, and thus arrive at a better understanding of how the various parts of the theories of reference I chose to analyse are related. This helped me to develop my own proposal regarding both the semantics and the pragmatics of proper names. The Guide is organised around a particular approach to the tasks of a semantic theory. According to this view, proposed by Stalnaker, a semantic theory dealing with proper names should account for the descriptive semantics of names, their foundational semantics, and the semantics of modal statements in which they figure. Descriptive semantics focuses on the contribution a proper name makes to the truth-value of sentences in which it occurs. Based on such an analysis, a proper name is assigned a semantic value, which is supposed to provide us with an interpretation of that name. A crucial part of this task is to see just what kind of thing the semantic value of a proper name is. In interpreting sentences containing proper names, one can, and often does, use the notion of possible worlds. This is especially true if the sentences in question are modal. There are various approaches to modality, which carry with them different sets of presuppositions. An analysis of the systematic features and presuppositions of various possible-world frameworks is a part of the task of the semantics of modal statements. Another task of semantics of modal statements is to investigate whence the constraints on possible worlds used in analysing these statements should derive, that is, whether, and to what degree, they should derive from the descriptive or the foundational part of the semantic enterprise. Both of these parts of a semantic theory have the potential to make predictions about the foundational semantics of proper names, which deals with the speaker’s behaviour and communication. Foundational semantics aims at answering the following question: What makes it the case that the language spoken by a particular individual or community has the very descriptive semantics it has? In this investigation, one looks at the speaker, her intentions and communicative goals, and tries to look at the strategies she uses to get her (linguistic) point across. To show the usefulness of organising the User’s Guide to Proper Names around these distinctions, and to provide their proper characterisation, is the task of the first part of the introductory first chapter, Outlining the Field and Introducing Some of the Players. In the second part of the same chapter, Setting the Scene, I give a preliminary outline of some of the notions needed to describe the theories of reference that are later investigated, that is mainly the theories proposed by Kripke, Kaplan, Lewis, and Stalnaker. The second chapter, Descriptive Semantics, focuses on the descriptive semantics proposed by Kripke and Kaplan for proper names. In the first part of the chapter, I introduce several arguments in favour of rigid designation. A closer look reveals that none of the three arguments in question -- the modal, the epistemological, and the semantic one -- is actually an argument for rigid designation. They all just argue against some forms of descriptivism. Moreover, in the case of the modal and the epistemological argument, it is relatively easy to find forms of descriptivism that are immune to the lines of reasoning proposed in these arguments. The semantic argument seems to be the strongest of the three. An analysis of a direct argument for rigid designation highlights the connection between rigid designation and certain preconceptions about the identity of individuals. A further investigation of the notion of identity of individuals across possible worlds emerges at this point as an important issue to tackle. It also becomes clear that rigid designation alone cannot fully determine the Kripkean picture of names as non-descriptive entities referring without a mediation of any sort of conceptual content. In the second part of Chapter 2, I introduce the basic notions of Kaplan’s approach to the descriptive semantics of proper names. It turns out that in order to derive the familiar Kripkean picture of proper names, one has to presuppose direct reference for names and at least some version of haecceitism for the individuals in question. While, as we show, Kaplan’s framework does not work well for proper names, it gives us conceptual tools that help us in our undertaking. In the third chapter, Modal Statements, Individuals, and Essences, I analyse three different approaches to building a possible-world framework, Lewis’s, Kripke’s, and Stalnaker’s. In each case, the same questions are asked: What is the motivation and intended field of application of this framework? What are the ontological commitments of the approach? What form of essentialism, if any, does it imply? How does it deal with the notion of an individual? In Lewis’s case, the main problem turns out to be the theory of counterparts, which is, as I show, an integral part of his approach. The concept of an individual implied by it does not seem to correspond to any intuitive reading of counterfactual statements involving individuals. The investigation of Kripke’s framework focuses on describing the weakest form of essentialism that has to be presupposed to make the proposal work. Once that is concluded, I analyse the essentialism Kripke actually proposes, and the motivation and presuppositions on which it rests. I conclude that its motivation cannot be said to come from an analysis of language and that it presupposes a particular form of scientific realism. The rest of the chapter is devoted to a reconstruction and analysis of Stalnaker’s possible world framework, which turns out to be rather more cautious about metaphysical presuppositions and more suited for an analysis of natural language. As in the two previous proposals, I try to reconstruct the notion of actual world that is presupposed here. In the fourth chapter, Foundational Semantics, I investigate the notion of proposition implied by Lewis’s, Kripke’s, and Stalnaker’s approach. I focus on propositions containing proper names, and analyse the way in which each of the conceptions mentioned above is vulnerable to the problem of logical omniscience. An analysis of Lewis’s framework reveals that the concept of proposition implied by it is so weak as to be rather uninteresting. An investigation of Kripke’s concept of proposition deals not only with the systematic issues, but also with the Pierre puzzle and various attempts at solving it. I present a number of different approaches to the problem and compare their merits. Stalnaker is very worried about the problem of logical omniscience, and yet it turns out that his conception is less vulnerable to the adverse consequences of the problem of logical omniscience than other frameworks we investigate. I point out that various pragmatic features of Stalnaker’s framework (the epistemic nature of his possible-world framework, the Gricean principles built into the notion of assertion) help to counterbalance and mitigate the scope of the problem of logical omniscience within it. In Chapter 5, User-friendly Descriptive Semantics, I present and motivate my own proposal for the descriptive semantics of proper names and the treatment of modal statements in which they figure. Basically, the aim is to preserve the notion of names as rigidly designating expressions while admitting as little metaphysics as possible. Working with epistemic possible worlds whose domain is in each case co-determined by a particular context enables me to develop a very intuitive plausible notion of individual, to which a name can be said to refer rigidly. The interpretation of modal statements is then driven not by essentialist constraints in the common sense of the term, but by context-derived limitations, which seems to be a more natural approach. In the sixth and last chapter, Names, Indexicality, and Ambiguity, I develop a view of foundational semantics inspired by the pragmatic observation that in common parlance one can say that a name, `John Smith’ for instance, can refer to numerous individuals. A lot of attention is given to the ontology of names, and the question `What is a name?’ delivers answers which are then used in a discussion about whether names should be seen as indexical or ambiguous. I adopt the ambiguity view, and propose a way of using a Stalnakerian possible-world framework to derive intuitively plausible results for some difficult cases. The weight of the discussion all through the guide rests in an examination of different kinds of presuppositions implied by various possible-world frameworks and the notion of the individual used in accounts of the behaviour of proper names. In my own account of these issues, I do without any metaphysical assumptions and aim at describing communication in terms accessible to its participants. (shrink)

Bayesian Epistemology is a general framework for thinking about agents who have beliefs that come in degrees. Theories in this framework give accounts of rational belief and rational belief change, which share two key features: (i) rational belief states are represented with probability functions, and (ii) rational belief change results from the acquisition of evidence. This dissertation focuses specifically on the second feature. I pose the Evidence Question: What is it to have evidence? Before addressing this question we must have (...) an understanding of Bayesian Epistemology. The first chapter argues that we should understand Bayesian Epistemology as giving us theories that are evaluative and not action-guiding. I reach this verdict after considering the popular ‘ought’-implies-‘can’ objection to Bayesian Epistemology. The second chapter argues that it is important for theories in Bayesian Epistemology to answer the Evidence Question, and distinguishes between internalist and externalist answers. The third and fourth chapters present and defend a specific answer to the Evidence Question. The account is inspired by reliabilist accounts of justification, and attempts to understand what it is to have evidence by appealing solely to considerations of reliability. Chapter 3 explains how to understand reliability, and how the account fits with Bayesian Epistemology, in particular, the requirement that an agent’s evidence receive probability 1. Chapter 4 responds to objections, which maintain that the account gives the wrong verdict in a variety of situations including skeptical scenarios, lottery cases, scientific cases, and cases involving inference. After slight modifications, I argue that my account has the resources to answer the objections. The fifth chapter considers the possibility of losing evidence. I show how my account can model these cases. To do so, however, we require a modification to Conditionalization, the orthodox principle governing belief change. I present such a modification. The sixth and seventh chapters propose a new understanding of Dutch Book Arguments, historically important arguments for Bayesian principles. The proposal shows that the Dutch Book Arguments for implausible principles are defective, while the ones for plausible principles are not. The final chapter is a conclusion. (shrink)

Ordinary Language Philosophy has largely fallen out of favour, and with it the belief in the primary importance of analyses of ordinary language for philosophical purposes. Still, in their various endeavours, philosophers not only from analytic but also from other backgrounds refer to the use and meaning of terms of interest in ordinary parlance. In doing so, they most commonly appeal to their own linguistic intuitions. Often, the appeal to individual intuitions is supplemented by reference to dictionaries. In recent times, (...) Internet search engine queries for expressions of interest have become quite popular. Apparently, philosophers attempt to surpass the limits of their own linguistic intuitions by appealing to experts or to factual uses of language. I argue that this attempt is commendable but that its execution is wanting. Instead of appealing to dictionaries or Internet queries, philosophers should employ computer-based linguistic corpora in order to confirm or falsify hypotheses about the factual use of language. This approach also has some advantages over methods employed by experimental philosophers. If the importance of ordinary language is stressed, the use of linguistic corpora is hardly avoidable. (shrink)

Van Fraassen’s (1989) infamous best of a bad lot objection is widely taken to be the most serious problem that afflicts theories of inference to the best explanation (IBE), for it alleges to show that we should not accept the conclusion of any case of such reasoning as it actually proceeds. Moreover, this is supposed to be the case irrespective of the details of the particular criteria used to select best explanations. The best of a bad lot objection is predicated (...) on, and really only requires, the idea that in any real case of IBE where one hypothesis is favored as best over those with which it competes, it is always the case that it is more likely that the true explanation is to be found in the set of unformulated and unconsidered logical alternatives to the set of actually considered hypotheses. On this basis, Van Fraassen believes that accepting the conclusion of IBEs so understood is irrational and this is simply because such inferences are supposedly not probative. In this paper the best of a bad lot objection will be addressed and it will be shown that Van Fraassen’s notorious criticism of IBE depends on a problematic conflation of two notions of rationality and thus that his criticism of IBE involves a damning equivocation. In essence, he conflates ideal standards of rationality with epistemic standards of rationality and, in so doing, makes it appear to be the case that we should not accept the conclusions of IBEs. But, when we disambiguate the concepts of rationality at work in the argument Van Fraassen’s conclusion simply does not follow. (shrink)

Everyday life reasoning and argumentation is defeasible and uncertain. I present a probability logic framework to rationally reconstruct everyday life reasoning and argumentation. Coherence in the sense of de Finetti is used as the basic rationality norm. I discuss two basic classes of approaches to construct measures of argument strength. The first class imposes a probabilistic relation between the premises and the conclusion. The second class imposes a deductive relation. I argue for the second class, as the first class is (...) problematic if the arguments involve conditionals. I present a measure of argument strength that allows for dealing explicitly with uncertain conditionals in the premise set. (shrink)

Contemporary psychologism has been amended for most of the objections by its opponents over a century ago. However, some authors still raise doubts about its ability to account for some peculiar properties of logic. In particular, it is argued that the psychological universality of patterns of inferential behavior is not sufficient to account for the normativity of logic. In this paper, I deal with the issue and offer three alternative solutions that do not rely on mere empirical universality. I will (...) use the works of Laurence Jonathan Cohen, Diego Marconi and Marcello D'Agostino, adapting them for the purpose of defending logical psychologism. I will therefore argue that, although more refined work on the subject is needed, contemporary psychologism has the key resources to retain its place in the philosophical debate on the foundations of logic. (shrink)

This thesis contributes to a better conceptual understanding of how self-organized control works. I begin by analyzing the control problem and its solution space. I argue that the two prominent solutions offered by classical cognitive science (centralized control with rich commands, e.g., the Fodorian central systems) and embodied cognitive science (distributed control with simple commands, such as the subsumption architecture by Rodney Brooks) are merely two positions in a two-dimensional solution space. I outline two alternative positions: one is distributed control (...) with rich commands, defended by proponents of massive modularity hypothesis; the other is centralized control with simple commands. My goal is to develop a hybrid account that combines aspects of the second alternative position and that of the embodied cognitive science (i.e., centralized and distributed controls with simple commands). Before developing my account, I discuss the virtues and challenges of the first three. This discussion results in a set of criteria for successful neural control mechanisms. Then, I develop my account through analyzing neuroscientific models of decision-making and control with the theoretical lenses provided by formal decision and social choice theories. I contend that neural processes can be productively modeled as a collective of agents, and neural self-organization is analogous to democratic self-governance. In particular, I show that the basal ganglia, a set of subcortical structures, contribute to the production of coherent and intelligent behaviors through implementing “democratic" procedures. Unlike the Fodorian central system—which is a micro-managing “neural commander-in-chief”—the basal ganglia are a “central election commission.” They delegate control of habitual behaviors to other distributed control mechanisms. Yet, when novel problems arise, they engage and determine the result on the basis of simple information (the votes) from across the system with the principles of neurodemocracy, and control with simple commands of inhibition and disinhibition. By actively managing and taking advantage of the wisdom-of-the-crowd effect, these democratic processes enhance the intelligence and coherence of the mind’s final "collective" decisions. I end by defending this account from both philosophical and empirical criticisms and showing that it meets the criteria for successful solution. (shrink)

The article develops and justifies, on the basis of the epistemological argumentation theory, two central pieces of the theory of evaluative argumentation interpretation: 1. criteria for recognizing argument types and 2. rules for adding reasons to create ideal arguments. Ad 1: The criteria for identifying argument types are a selection of essential elements from the definitions of the respective argument types. Ad 2: After presenting the general principles for adding reasons (benevolence, authenticity, immanence, optimization), heuristics are proposed for finding missing (...) reasons, for deductive arguments, e.g., semantic tableaux are suggested. (shrink)

Tradition compels me to write dissertation acknowledgements that are long, effusive, and unprofessional. Fortunately for me, I heartily endorse that tradition.

Interpreting John Rawls’ ‘reflective equilibrium’ method from the perspective of Morton White’s holistic pragmatism entails both an epistemological and a methodological dimension. In this article, I reconsider White’s perspective regarding Rawls’ ‘reflective equilibrium’. This requires a critical examination of the method’s origins and development, with an emphasis on Nelson Goodman’s process of justification and the Duhem-Quine thesis. In order to examine the origins and development of the ‘reflective equilibrium’ method, I also draw upon the writings of Pierre Duhem, Willard Van (...) Orman Quine, Nelson Goodman, Stephen P. Stich and Donald Gillies, among others. Subsequently, I interpret the criticisms that have been formulated against the process of justification elaborated by Goodman and adapted by Rawls. Afterwards, I explain the conceptual links between the ‘Duhem-Quine thesis’ and the ‘reflective equilibrium’ method. In the last chapter, I analyse White’s assertion that Rawls’ theory of justice is a variant of holistic pragmatism. I emphasize how White’s holistic theses coincide to a significant extent with the ideas devised by Rawls regarding the method of ‘reflective equilibrium’ in social justice, and in a more general sense, in ethics. Also, I expound why White’s doctrine is epistemologically holistic and methodologically monistic. (shrink)

The thesis contains my early work arguing against evidentialism for reasons for belief (chapter 1), my early argument that rationality is not normative (chapter 2), an argument that rationality is not responding reasons, at least understood in one way (chapter 2), a general discussion of how normative conflicts might (appear to) arise in many different ways (chapter 3), a discussion of how to weigh pragmatic and evidential reasons for belief (chapter 4), and a discussion of the general structure of normativity (...) and its ramifications for understanding putative normative conflicts (chapter 4). At a more general level, the thesis aims to explore how putative normative conflicts might arise and whether they are genuine conflicts or only apparent. It also offers a defence of the view that there are genuine state-given reasons for propositional attitudes, including pragmatic reasons for belief. (shrink)

How do agents with limited cognitive capacities flourish in informationally impoverished or unexpected circumstances? Aristotle argued that human flourishing emerged from knowing about the world and our place within it. If he is right, then the virtuous processes that produce knowledge, best explain flourishing. Influenced by Aristotle, virtue epistemology defends an analysis of knowledge where beliefs are evaluated for their truth and the intellectual virtue or competences relied on in their creation. However, human flourishing may emerge from how degrees of (...) ignorance are managed in an uncertain world. Perhaps decision-making in the shadow of knowledge best explains human wellbeing—a Bayesian approach? In this dissertation I argue that a hybrid of virtue and Bayesian epistemologies explains human flourishing—what I term homeostatic epistemology. Homeostatic epistemology supposes that an agent has a rational credence p when p is the product of reliable processes aligned with the norms of probability theory; whereas an agent knows that p when a rational credence p is the product of reliable processes such that: 1) p meets some relevant threshold for belief, 2) p coheres with a satisficing set of relevant beliefs and, 3) the relevant set of beliefs is coordinated appropriately to meet the integrated aims of the agent. Homeostatic epistemology recognizes that justificatory relationships between beliefs are constantly changing to combat uncertainties and to take advantage of predictable circumstances. Contrary to holism, justification is built up and broken down across limited sets like the anabolic and catabolic processes that maintain homeostasis in the cells, organs and systems of the body. It is the coordination of choristic sets of reliably produced beliefs that create the greatest flourishing given the limitations inherent in the situated agent. (shrink)

Practical ethics can greatly benefit from the work in cognitive science. Cognitive science boasts substantial research and data on how people think, reason, and process information, as well as on the nature of the mind. I argue that cognitive science research and data are invaluable to investigating how people conduct themselves as they plod through practical moral problems. I discuss three reasons why practical ethics should be interested in cognitive science: cognitive science : helps us to better understand how people (...) reason and offers theories about underlying mental processes; offers substantive discussion on normative accounts of reason and rationality; and provides insight into the nature of the human mind which may ground morality qua a human enterprise. (shrink)

In this paper I argue that the enkratic principle in its classic formulation may not be a requirement of rationality. The investigation of whether it is leads to some important methodological insights into the study of rationality. I also consider the possibility that we should consider rational requirements as a subset of a broader category of agential requirements.

Este artículo investiga la coherencia entre la propuesta de una organización modular masiva de la mente y el enfoque de las heurísticas simples. Se discute una serie de potenciales conflictos entre los dos programas, pero finalmente son desestimados. De todos modos, el programa de las heurísticas simples sí termina socavando uno de los muchos argumentos propuestos para apoyar la modularidad masiva, al menos en el modo en que esta última es comprendida por los filósofos. Así que un resultado de la (...) argumentación será forzarnos a reexaminar la mejor manera de caracterizar la noción de modularidad en la ciencia cognitiva, para que la tesis de la modularidad masiva no deba ser abandonada completamente. Lo que está en juego en esta discusión es si existe una noción de "módulo" que esté bien motivada, de modo que tengamos una buena razón para pensar que la mente humana deba ser masivamente modular en su organización. Argumentaré que tal noción existe. This chapter investigates the extent to which claims of massive modular organization of the mind are consistent with the main elements of the simple heuristics research program. A number of potential sources of conflict between the two programs are investigated and defused. However, the simple heuristics program turns out to undermine one of the main arguments offered in support of massive modularity, at least as the latter is generally understood by philosophers. So one result of the argument will be to force us to re-examine the way in which the notion of modularity in cognitive science should best be characterized, if the thesis of massive modularity isn't to be abandoned altogether. What is at stake in this discussion, is whether there is a well-motivated notion of "module" such that we have good reason to think that the human mind must be massively modular in its organization. I shall be arguing that there is. (shrink)

Our knowledge forms a highly interconnected and dynamically changing body of propositions. One obviously important way that knowledge changes is via rational inference, based either upon new insight into the content of what we already know or upon new knowledge provided by the senses. The most obvious codification of the acceptability of inference driven knowledge growth is the so-called known entailment closure principle, the principle that if S knows that p and knows that p implies q then S knows that (...) q, or, more formally. (shrink)

For any normative domain, we can theorize about what is good in that domain. Such theories include utilitarianism, a view about what is good morally. But there are many domains other than the moral; these include the prudential, the aesthetic, and the intellectual or epistemic. In this last domain, it is good to be knowledgeable and bad to ignore evidence, quite apart from the morality, prudence, and aesthetics of these things. This dissertation builds a theory that stands to the epistemic (...) domain as utilitarianism stands to the moral domain. It builds an epistemic value theory. (shrink)