Accordingly, the task of the present book is to consider the role of idealization in cognitive matters and to establish its utility in this realm.

Jonathan Kvanvig has recently attempted to reconcile the problem of (apparently) pointless truths with the claim that the value of truth is unrestricted—that truth is always and everywhere valuable. In this paper, I critically evaluate Kvanvig’s argument and show it to be defective at a crucial juncture. I propose my own alternative strategy for generating Kvanvig’s result—an alternative that parts ways with Kvanvig’s own conception of the cognitively ideal.

This paper explores some of the constructive dimensions and specifics of human theoretic cognition, combining perspectives from (Husserlian) genetic phenomenology and distributed cognition approaches. I further consult recent psychological research concerning spatial and numerical cognition. The focus is on the nexus between the theoretic development of abstract, idealized geometrical and mathematical notions of space and the development and effective use of environmental cognitive support systems. In my discussion, I show that the evolution of the theoretic cognition of space apparently (...) follows two opposing, but in truth, intrinsically aligned trajectories. On the epistemic plane, which is the main focus of Husserl’s genetic phenomenological investigations, theoretic conceptions of space are progressively constituted by way of an idealizing emancipation of spatial cognition from the concrete, embodied intentionality underlying the human organism’s perception of space. As a result of this emancipation, it ultimately becomes possible for the human mind to theoretically conceive of and posit space as an ideal entity that is universally geometrical and mathematical. At the same time, by synthesizing a range of literature on spatial and mathematical cognition, I illustrate that for the theoretic mind to undertake precisely this emancipating process successfully, and further, for an ideal and objective notion of geometrical and mathematical space to first of all become fully scientifically operative, the cognitive support provided by a range of specific symbolic technologies is central. These include lettered diagrams, notation systems, and more generally, the technique of formalization and require for their functioning various cognitively efficacious types of embodiment. Ultimately, this paper endeavors to understand the specific symbolic-technological dimensions that have been instrumental to major shifts in the development of idealized, scientific conceptions of space. The epistemic characteristics of these shifts have been previously discussed in genetic phenomenology, but without devoting sufficient attention to the constructive role of symbolic technologies. At the same time, this paper identifies some of the irreducible phenomenological and epistemic dimensions that characterize the functioning of the historically situated, embodied and distributed theoretic mind. (shrink)

develops themes from the dissertation. I argue that two models of prosopagnosia are best understood as idealizing models, and as such are subject to importantly different methodological constraints from non-idealized theories of face recognition.

Scientific research is almost always conducted by communities of scientists of varying size and complexity. Such communities are effective, in part, because they divide their cognitive labor: not every scientist works on the same project. Philip Kitcher and Michael Strevens have pioneered efforts to understand this division of cognitive labor by proposing models of how scientists make decisions about which project to work on. For such models to be useful, they must be simple enough for us to understand (...) their dynamics, but faithful enough to reality that we can use them to analyze real scientific communities. To satisfy the first requirement, we must employ idealizations to simplify the model. The second requirement demands that these idealizations not be so extreme that we lose the ability to describe real-world phenomena. This paper investigates the status of the assumptions that Kitcher and Strevens make in their models, by first inquiring whether they are reasonable representations of reality, and then by checking the models' robustness against weakenings of these assumptions. To do this, we first argue against the reality of the assumptions, and then develop a series of agent-based simulations to systematically test their effects on model outcomes. We find that the models are not robust against weakenings of these idealizations. In fact we find that under certain conditions, this can lead to the model predicting outcomes that are qualitatively opposite of the original model outcomes. (shrink)

underpinning of the cognitive sciences. I argue, however, that it often fails to provide adequate explanations, in particular in conjunction with competence theories. This failure originates in the idealizations in competence descriptions, which either ?block? the cascade, or produce a successful cascade which fails to explain cognition.

Plato's depiction of the world soul's cognitive activity in Timaeus 37 A 2‐C 5 offers a general account of intellectual cognition. He gives this account by describing the activity of an ideal cognitive agent, involving the very same comparative mechanism that governs human intellectual activity, namely, the active production of a propositional grasp of sameness and difference that things have in relation to each other in several respects. Plato depicts the world soul's intellectual activity as entirely devoid of (...) immediate forms of cognition such as perception and/or intellectual intuition: everything the world soul cognizes is the outcome of its active comparison of things with each other. In particular, there is no direct cognitive grasp of the being of things. The paper ends with a suggestion as to how to understand Plato's account of the world soul's activity as an instance of the ‘like is known by like’ principle of cognition. (shrink)

In this paper, I attempt to sketch a dialectical approach on scientific representations and their role in scientific cognition. In my understanding, scientific representations can be construed as ‘tools’ mediating scientific cognition. These ‘tools’ are products of our cognitive activity, by which we signify which features of certain objects or states of affairs should be embodied in abstractive representations of them. In such a context, I explore the merits of bringing some ideas of thinkers whose work is underestimated in (...) the relevant discussion nowadays in dialogue with currently discussed approaches. (shrink)

In this paper, I attempt to sketch a dialectical approach on scientific representations and their role in scientific cognition. In my understanding, scientific representations can be construed as ‘tools’ mediating scientific cognition. These ‘tools’ are products of our cognitive activity, by which we signify which features of certain objects or states of affairs should be embodied in abstractive representations of them. In such a context, I explore the merits of bringing some ideas of thinkers whose work is underestimated in (...) the relevant discussion nowadays (such as K. Marx, E.V. Ilyenkov, L.S. Vygotsky, M. Wartofsky) in dialogue with currently discussed approaches. (shrink)

I offer support for the view that physicalist theories of cognition don't reduce to neurophysiological theories. On my view, the mind-brain relationship is to be explained in terms of evolutionary forces, some of which tug in the direction of a reductionistic mind-brain relationship, and some of which which tug in the opposite direction. This theory of forces makes possible an anti-reductionist account of the cognitive mind-brain relationship which avoids psychophysical anomalism. This theory thus also responds to the complaint which (...) arguably lies behind the Churchlands' strongest criticisms of anti-reductionism — namely the complaint that anti-reductionists fail to supply principled explanations for the character of the mind-brain relationship. While lending support to anti-reductionism, the view defended here also insures a permanent place for mind-brain reduction as an explanatory ideal analogous to Newtonian inertial motion or Aristotelian natural motion. (shrink)

One of the central issues in linguistics is whether or not language should be considered a self-contained, autonomous formal system, essentially reducible to the syntactic algorithms of meaning construction (as Chomskyan grammar would have it), or a holistic-functional system serving the means of expressing pre-organized intentional contents and thus accessible with respect to features and structures pertaining to other cognitive subsystems or to human experience as such (as Cognitive Linguistics would have it). The latter claim depends critically on (...) the existence of principles governing the composition of semantic contents. Husserl''s fourth Logical Investigation is well known as a genuine precursor for Chomskyan grammar. However, I will establish the heterogeneous character of the Investigation and show that the whole first part of it is devoted to the exposition of a semantic combinatorial system cognate to the one elaborated within Cognitive Linguistics. I will thus show how theoretical results in linguistics may serve to corroborate and shed light on those parts of Husserl''s Fourth Investigation that have traditionally been dismissed as vague or simply ignored. (shrink)

Siyaves Azeri (2020) quite well shows that arithmetical thinking emerges on the basis of specific social practices and material engagement (clay tokens for economic exchange practices beget number concepts, e.g.). But his discussion here is relegated mostly to Neolithic and Bronze Age practices. While surely such practices produced revolutions in the cognitive abilities of many humans, much of the cognitive architecture that allows normative conceptual thought was already in place long before this time. This response, then, is an (...) attempt to sketch the deep prehistory of human cognition in order to show the inter-social bases of normative thought in general. To do this, I will look first to the work of Vygotsky and Leontiev, two often neglected psychologists whose combined efforts culminate in a developmental account of human cognitive origins. Then, I will review some key insights from the contemporary comparative psychologist Michael Tomasello—whose project is admittedly a Vygotskian one—in order to further shed light on the social-practical basis of abstract thought, of which mathematical cognition is surely a part. (shrink)

Some debates about the role of non-epistemic values in science discuss the so-called Value-Free Ideal together with the autonomy thesis, to the point that they may be assumed to be intertwined. As I will argue in this article, the two are independent from one another, are supported by different arguments, and ought to be disentangled. I will also show that the arguments against value-freedom and supporting a value-laden conception of science, are different from the arguments against autonomy, which support democratized (...) science. Moreover, while some of the arguments against autonomy and for democratized science may actually be consistent with value-freedom, they conflict with some philosophical views about the internal diversity of well-designed epistemic communities. This article distinguishes the Value-Free Ideal and the autonomy thesis, as well as their antitheses, and investigates their relations to some of the socio-epistemological models of the social organization of scientific research. Its aim is to make explicit some incompatibilities between different normative frameworks developed in philosophy of science. (shrink)

The author demonstrates the central role that the ideal of unity and simplicity has played in classical and contemporary science. She argues that despite current difficulties in realizing this ideal it has deep psychological roots and is therefore likely to persist.

There is a vast literature within philosophy of mind that focuses on artificial intelligence, but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discussions are connected. Insights developed in the philosophy of science literature about the importance of idealization provide a way of understanding the neural implausibility of connectionist networks. Insights from neurocognitive science illuminate how relevant similarities between models (...) and targets are picked out, how modeling inferences are justified, and the metaphysical status of models. (shrink)

Ideal epistemologists investigate the nature of pure epistemic rationality, abstracting away from human cognitive limitations. Non-ideal epistemologists investigate epistemic norms that are satisfiable by most humans, most of the time. Ideal epistemology faces a number of challenges, aimed at both its substantive commitments and its philosophical worth. This paper explains the relation between ideal and non-ideal epistemology, with the aim of justifying ideal epistemology. Its approach is meta-epistemological, focusing on the meaning and purpose of epistemic evaluations. I provide an (...) account on which the fundamental difference between ideal and non-ideal epistemic evaluations is that only the non-ideal epistemic ‘ought’ implies any substantive ‘can’. I argue that only ideal epistemic evaluations are ‘normatively robust’: they are neither conventional nor seriously context-sensitive. Non-ideal epistemic evaluations are normatively non-robust, exhibiting both conventionality and serious context-sensitivity from an interesting variety of distinct sources. For this reason, non-ideal epistemic evaluations won’t characterize the fundamental nature of epistemic rationality. Non-ideal epistemic rationality depends, not merely on what’s epistemically valuable, but also on modally contingent epistemic conventions and contextually contingent constraints on epistemic options. If we want a normatively robust theory of epistemic rationality, ideal epistemology is the only game in town. (shrink)

In recent years, we have witnessed the rise of a contemporary approach to cognitive psychology known as 4E cognition. According to this ‘extracranial’ view of cognition, the mind is not ensconced in the head, but dynamically intertwined with a host of different entities, social as well as technological. The purpose of the present article is to raise a concern about 4E cognition. The concern is not about whether the mind is in fact extended, but about how this condition is (...) currently portrayed in the 4E literature. It is argued that 4E scholars tend to paint an overly idealized picture of human–technology relations in which all entities are presumed to cooperate and collaborate. The article first describes the basic tenets of extended cognition and distributed cognition, two of the most thingly approaches in this new wave of cognitive psychology. It then proceeds to discuss the twin notions of cognition and representation and argues that it may be time to leave these concepts behind. Finally, it sketches out the so-called ‘dogma of harmony’ in the 4E literature and argues for the importance of making analytical room for conflictual human–technology relations. Two examples of such conflictual relations are provided: bad habits and deskilling. (shrink)

Intractability is a growing concern across the cognitive sciences: while many models of cognition can describe and predict human behavior in the lab, it remains unclear how these models can scale to situations of real-world complexity. Cognition and Intractability is the first book to provide an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science. Covering both classical and parameterized complexity analysis, it introduces the mathematical concepts and proof techniques that can (...) be used to test one's intuition of tractability. It also describes how these tools can be applied to cognitive modeling to deal with intractability, and its ramifications, in a systematic way. Aimed at students and researchers in philosophy, cognitive neuroscience, psychology, artificial intelligence, and linguistics who want to build a firm understanding of intractability and its implications in their modeling work, it is an ideal resource for teaching or self-study. (shrink)

Darwin's book On the Origin of Species by Means of Natural Selection (henceforth The Origin) abounds with metaphors. In fact, the very theory of natural selection is couched in a system of metaphors that exhibit striking consistency and coherence. I argue that the phenomenon for which Darwin tries to detect the basic mechanisms, that is, biological evolution, involves vast, indeterminate, and ambiguous observations that are difficult to subject to the empirical methods. This fact motivates Darwin's extensive use of metaphors to (...) organize his observations, structure the vague concepts, and ultimately render his observations meaningful and intelligible. I demonstrate that Darwin's metaphors, as far as they are elements of Idealized Cognitive Models, prove valuable in achieving this goal. First, I identify the conceptual metaphors underlying the main metaphorical expressions and show how these conceptual metaphors give rise to entailments and inferences central to Darwin's theory. The conceptual metaphors I identify are “NATURE IS A MOTHER,” “NATURE IS A BREEDER,” “LIFE IS WAR,” “LIFE IS A RACE,” and “EVOLUTION IS PROGRESS.” I also comment briefly on the conceptual blending involved in these metaphorical mappings. I then turn to characterizing the idealized cognitive models (ICMs) that function as the pre-conceptual ground in virtue of which Darwin's metaphors are meaningful, coherent, and helpful to scientific thinking. These ICMs are the ICM of STRUGGLE and the image-schema of SOURCE-PATH-GOAL. (shrink)

Needed for such dialogue games as dialectic are appropriate standards of fairness and rationality. The rules of procedure of dialectic must describe a game playable by actual human participants. The present paper centers on certain idealizations of the dialectician that are not allowable.

I argue that we cannot adequately characterize idealization and abstraction and the distinction between the two on the grounds that they have distinct semantic properties. By doing so, on the one hand, we focus on the conceptual products of the two processes in making the distinction and we overlook the importance of the nature of the thought processes that underlie model-simplifying assumptions. On the other hand, we implicitly rely on a sense of abstraction as subtraction, which is unsuitable for explicating (...) scientific model construction. Instead, I argue that a sense of abstraction as extraction is more suitable. Finally, I suggest a different way to distinguish the two processes that avoids these problems. Namely, that both idealization and abstraction could be understood as particular modes of application of the same cognitive process: selective attention. (shrink)

Discussions about the permissibility of students using enhancements in education are often framed by the question, “Is a student who uses cognitive-enhancing drugs cheating?” While the question of cheating is interesting, it is but only one question concerning the permissibility of enhancement in education. Another interesting question is, “What kinds of students do we want in our academic institutions?” I suggest that one plausible answer to this question concerns the ideals of human excellence or virtues. The students we (...) want in our academic institutions are virtuous or, at least minimally, possess certain virtues. I argue that a virtuous student may choose to use cognitive-enhancing drugs for reasons of self-improvement. That a virtuous student may choose to use cognitive-enhancing drugs for reasons of self-improvement illustrates that under certain conditions motivation can determine the permissibility of using enhancements. Building upon this I suggest a virtues-based institutional rule for governing and guiding student-use of cognitive enhancers in an academic institution to be for the right reasons. This ideals of human excellence or virtues approach offers interesting and unique insights for issues of enhancement in education, as it might turn out, that uneasiness many people have about students using cognitive-enhancing drugs has less to do with issues of enhancement and more to do with the motivations and character of students. (shrink)

It's standard in epistemology to approach questions about knowledge and rational belief using idealized, simplified models. But while the practice of constructing idealized models in epistemology is old, metaepistemological reflection on that practice is not. Greco argues that the fact that epistemologists build idealized models isn't merely a metaepistemological observation that can leave first-order epistemological debates untouched. Rather, once we view epistemology through the lens of idealization and model-building, the landscape looks quite different. Constructing idealized models is likely the best (...) epistemologists can do. Once one starts using epistemological categories like belief, knowledge, and confidence, the realm of idealization and model-building is entered. We can object to a model of knowledge by pointing to a better model, but in the absence of a better model, the fact that a framework for epistemologizing theorizing involves simplifications, approximations, and other inaccuracies-the fact of its status as an idealized model-is not in itself objectionable. Once we accept that theorizing in epistemological terms is inescapably idealized, a number of intriguing possibilities open up. Greco defends a package of epistemological views that might otherwise have looked indefensibly dismissive of our cognitive limitations-a package according to which we know a wide variety of facts with certainty, including what our evidence is, what we know and don't know, and what follows from our knowledge. (shrink)

After Certainty offers a reconstruction of the history of epistemology, understood as a series of changing expectations about the cognitive ideal that we might hope to achieve in this world. Pasnau ranges widely over philosophy from Aristotle to the 17th century, and examines in some detail the rise of science as an autonomous discipline.

In this paper, I propose that the debate in epistemology concerning the nature and value of understanding can shed light on the role of scientific idealizations in producing scientific understanding. In philosophy of science, the received view seems to be that understanding is a species of knowledge. On this view, understanding is factive just as knowledge is, i.e., if S knows that p, then p is true. Epistemologists, however, distinguish between different kinds of understanding. Among epistemologists, there are those who (...) think that a certain kind of understanding—objectual understanding—is not factive, and those who think that objectual understanding is quasi-factive. Those who think that understanding is not factive argue that scientific idealizations constitute cognitive success, which we then consider as instances of understanding, and yet they are not true. This paper is an attempt to draw lessons from this debate as they pertain to the role of idealizations in producing scientific understanding. I argue that scientific understanding is quasi-factive. (shrink)

Human vision supports social perception by efficiently detecting agents and extracting rich information about their actions, goals, and intentions. Here, we explore the cognitive architecture of perceived animacy by constructing Bayesian models that integrate domain‐specific hypotheses of social agency with domain‐general cognitive constraints on sensory, memory, and attentional processing. Our model posits that perceived animacy combines a bottom–up, feature‐based, parallel search for goal‐directed movements with a top–down selection process for intent inference. The interaction of these architecturally distinct processes (...) makes perceived animacy fast, flexible, and yet cognitively efficient. In the context of chasing, in which a predator (the “wolf”) pursues a prey (the “sheep”), our model addresses the computational challenge of identifying target agents among varying numbers of distractor objects, despite a quadratic increase in the number of possible interactions as more objects appear in a scene. By comparing modeling results with human psychophysics in several studies, we show that the effectiveness and efficiency of human perceived animacy can be explained by a Bayesian ideal observer model with realistic cognitive constraints. These results provide an understanding of perceived animacy at the algorithmic level—how it is achieved by cognitive mechanisms such as attention and working memory, and how it can be integrated with higher‐level reasoning about social agency. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:The Ideal of Shared Decision Making Between Physicians and PatientsDan W. Brock (bio)IntroductionShared treatment decision making, with its division of labor between physician and patient, is a common ideal in medical ethics for the physician-patient relationship.1 Most simply put, the physician's role is to use his or her training, knowledge, and experience to provide the patient with facts about the diagnosis and about the prognoses without treatment and with (...) alternative treatments. The patient's role in this division of labor is to provide the values—his or her own conception of the good—with which to evaluate these alternatives, and to select the one that is best for himself or herself. As a rough guide to practice, this is a reasonable conception; most of the time it is likely to produce sound treatment decisions. However, as an ideal it is too simplistic, and is subject to several challenges that I will explore in this paper.Some challenges relate to the physician's role. This facts/values division of labor seems to assume that the physician can and should provide the facts about treatment alternatives in a value-neutral form. But some have questioned whether the sciences on which medicine is based are, or can be, value free. Moreover, the concepts of health and disease, and of the normal and pathological, are held by many to be value laden. And even if it is possible for physicians to provide only value-neutral facts to the patient, should the physicians' role be restricted in this way?Other challenges that I will present in the paper are to the patient's role [End Page 28] as provider of the values for the evaluation of the different treatment alternatives. One defense of this role is based on the claim that physicians are not in a position to know reliably what is in a patient's best interests (Buchanan, forthcoming). I believe at least as influential—even if often not explicitly stated—is an extreme subjectivism about values that assumes that the patient's own ultimate values, which define his or her own conception of the good, are incorrigible. By incorrigible, I mean they cannot be mistaken. In the standard case in which treatment is pursued for the patient's benefit, this extreme subjectivism is thought to support the patient's values guiding treatment decision making and treatment. I will explore this incorrigibility claim and will argue that on each of the main philosophical conceptions of the good for persons it is indefensible and should not be the basis for shared treatment decision making.Underlying this view of the physician-patient division of labor are assumptions and beliefs about the nature and relation of facts and values, and science and ethics, that are largely the legacy of a logical positivism that has long since been rejected by most philosophers. It is time that these unstable foundations for our normative ideal of the physician-patient relation were finally removed and replaced with more defensible underpinnings.Two Models of the Physician-Patient RelationshipPositivists insisted on a relatively sharp distinction between descriptive or empirical claims and science, on the one hand, and evaluative claims and ethics, on the other.2 Descriptive statements and the claims of science were to be true or false according to whether they in fact correctly described and explained the world. By remaining properly descriptive or empirical, science could, at least in principle, be entirely value neutral or value free.In its more extreme versions, positivism held that ethical judgments lacked cognitive content, but were instead expressions of emotions or attitudes, and as such could be neither true nor false, correct or mistaken. Because no evaluative statements were held to be logically entailed by any descriptive or empirical statements, moral reasoning was thought to be properly understood not as reasoning but as attempts at nonrational persuasion.3 Many drew from this an extreme subjectivism in ethics along the lines of what I have called above the incorrigibility thesis—there is no meaningful sense in which an individual's ultimate values defining his or her own conception of the good life could be mistaken, false, or unfounded.These... (shrink)

I develop a broadly reliabilist theory of non-ideal epistemic rationality and argue that if it is correct we should reject the recently popular idea that the standards of non-ideal epistemic rationality are mere social conventions.

Cognitive Literary Studies is gradually making its mark on the publishing world with a growing number of theoretical works that blend scientific approaches with the practice of literary theory. To some extent, this slowly emerging current could even be construed as the missing link, if not the ideal interface, between science and the humanities. At the crossroads of these two areas of study, Cognitive Literary Studies offers an extraordinary opportunity to bridge the “gulf of mutual incomprehension” between literary (...) intellectuals and scientists, one that C.P. Snow famously identified in the wake of World War II.1 Perhaps, along the way, this polymorphous field could even share “the excitement of connecting... (shrink)

Contents: IDEALIZATION, APPROXIMATION AND COUNTERFACTUALS IN THE STRUCTURALIST FRAMEWORK. Theo A.F. KUIPERS: The Refined Structure of Theories. C. ULISES and Reinhold STRAUB: Approximation and Idealization from the Structuralist Point of View. Ilkka A. KIESEPPÄ: A Note on the Structuralist Account of Approximation. C. ULISES MOULINES and Reinhold STRAUB: A Reply to Kieseppä. Wolfgang BALZER and Gerhard ZOUBEK: Structuralist Aspects of Idealization. Andoni IBARRA and Thomas MORMANN: Counterfactual Deformation and Idealization in a Structuralist Framework. Ilkka A. KIESEPPÄ: Assessing the Structuralist Theory (...) of Verisimilitude. IDEALIZATION, APPROXIMATION AND THEORY FORMATION. Leszek NOWAK: Remarks on the Nature of Galileo's Methodological Revolution. Ilkka NIINILUOTO: Approximation in Applied Science. Elke HEISE, Peter GERJETS and Rainer WESTERMANN: Idealized Action Phases. A Concise Rubicon Theory. Klaus G. TROITZSCH: Modelling, Simulation, and Structuralism. Veikko RANTALA and Tere VADÉN: Idealization in Cognitive Science. A Study in Counterfactual Correspondence. Matti SINTONEN and Mika KIIKERI: Idealization in Evolutionary Biology. Timo TUOMIVAARA: On Idealization in Ecology. Martti KUOKKANEN and Matti HÄYRY: Early Utilitarianism and Its Idealizations from a Systematic Point of View. IDEALIZATION, APPROXIMATION AND MEASUREMENT. Rainer WESTERMANN: Measurement-Theoretical Idealizations and Empirical Research Practice. Uwe KONERDING: Probability as an Idealization of Relative Frequency. A Case Study by Means of BTL-Model. Reinhard SUCK and Joachim WIENÖBST: The Empirical Claim of Probability Statements, Idealized Bernoulli Experiments and their Approximate Version. Pekka J. LAHTI: Idealizations in Quantum Theory of Measurement. (shrink)

This is the first major textbook to offer a truly comprehensive review of cognitive science in its fullest sense. Ranging across artificial intelligence models and cognitive psychology through to recent discursive and cultural theories Rom Harre offers a breathtakingly original yet accessible integration of the field. At its core this textbook addresses the question "is psychology a science?" with a clear account of scientific method and explanation and their bearing on psychological research. A pivotal figure in psychology and (...) philosophy for many decades Rom Harre has turned his unmatched breadth of reference and insight for students at all levels. Whether describing, language, categorization, memory, the brain or connectionism the book always links our intuitions about beliefs, desires and their social context to the latest accounts of their place in computational and biological models. Fluently written and well structured, this an ideal text for students. The book is divided into four basic modules, with three lectures in each; the reader is guided with helpful learning points, study and essay questions and key readings for each chapter. (shrink)

Since the onset of the digital revolution, humankind has experienced an unprecedented acceleration of changes triggered by technological advancements. Frequently used digital media have unquestionably penetrated our everyday life, shaping human cognition in multiple ways. The rise of artificial intelligence, which coevolved with a new, interdisciplinary field of cognitive science, has amplified these effects, contributing new ways of affecting human society, in terms of efficient human-machine interaction and knowledge generation and accumulation, at an exponential rate. Simultaneously, cultural shifts driven (...) by globalization and social media have fostered new modes of communication, identity formation, and knowledge dissemination on a global scale. Understanding the intricate dynamics of techno-cultural evolution and its influence on cognition is essential for comprehending the contemporary society and preparing it for the future challenges. We need to adapt for the current and future information environments and digital landscapes, improving human resilience to new technologies and addressing core human vulnerabilities. Thanks to human flexibility, enabled by neural plasticity, that may be feasible, ideally combined with alleviation of known negative effects of digital technologies. (shrink)

In recent decades, attempts to explain autism have been frustrated by the heterogeneous nature of its behavioral symptoms and the underlying genetic, neural, and cognitive mechanisms that produce them. This has led some to propose eliminating the category altogether. The eliminativist inference relies on a conception of psychiatric categories as kinds defined by their underlying mechanistic structure. I review the evidence for eliminativism and propose an alternative model of the family of autisms. On this account, autism is a network (...) category defined by a set of idealized exemplars linked by multiple levels of theoretically significant properties. I argue that this network model better captures the empirical phenomena, the historical growth of the category, and the ways the category has been shaped by social norms and interests. Finally, I defend a realist interpretation of network categories against the challenge from eliminativists. (shrink)

Idealization is ubiquitous in human cognition, and so is the inclination to be puzzled by it: what to make of ideal gas, infinitely large populations, homo economicus, perfectly just society, known to violate matters of fact? This is apparent in social science theorizing (from J. H. von Thünen, J. S. Mill, and Max Weber to Milton Friedman and Thomas Schelling), recent philosophy of science analyzing scientific modeling, and the debate over ideal and non-ideal theory in political philosophy (since John Rawls). (...) I will offer a set of concepts and principles to improve transparency about the precise contents of idealizations (in terms of negligibility, applicability, tractability, and early-step status) and their distinct functions (such as contributing to minimal modeling, benchmark modeling, and how-possibly modeling). (shrink)

This paper examines the nomic covariationist strategy of using idealization to define representation. While the literature has focused upon the possibility of defining ideal conditions for perception, I argue that nomic covariationist appeals to idealization are pseudoscientific and contrary to a foundational and empirically well-supported methodological presupposition in cognitive science. Moreover, one major figure in this camp fails to come to grips with its role and its problems in mainstream science. Thus he forwards a false dichotomy of the sciences (...) and treats idealization as a blank check written by scientists on an unknown bank. Finally, I consider and reject alternative formulations of the nomic covariationist's idealization strategy. (shrink)

Disrespect for the truth, the rise of conspiracy thinking, and a pervasive distrust in experts are widespread features of the post-truth condition in current politics and public opinion. Among the many good explanations of these phenomena there is one that is only rarely discussed: that something is wrong with our deeply entrenched intellectual standards of (i) using our own critical thinking without any restriction and (ii) respecting the judgment of every rational agent as epistemically relevant. In this paper, I will (...) argue that these two enlightenment principles—the Principle of Unrestricted Critical Thinking and the Principle of Democratic Reason—not only conflict with what is rationally required from a purely epistemic point of view, but also have bad cognitive consequences in furthering the spread of conspiracy theories and undermining trust in experts. I will then explain in more detail why we should typically defer to experts without using any of our own reasons regarding the subject matter. Moreover, I will show what place this leaves for critical thinking and why it does not have the crazy consequences that the critics expect. (shrink)