Results for 'Marcin Milkowski'

673 found
Order:
See also
Marcin Miłkowski
Polish Academy of Sciences
  1. Marcin Miłkowski and Robert Poczobut: Przewodnik Po Filozofii Umysłu.Tomasz Szubart - 2012 - Forum Philosophicum: International Journal for Philosophy 17 (1):113-115.
    The article reviews the book Przewodnik po filozofii umysłu [Companion to the Philosophy of Mind], edited by Marcin Miłkowski and Robert Poczobut.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  2.  2
    Podstawy etyki komputerowej.Miłkowski Marcin - 2009 - Etyka 42:171-174.
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark  
  3.  1
    Marcin Miłkowski, Robert Poczobut. Przewodnik Po Filozofii Umysłu.Tomasz Szubart - 1970 - Forum Philosophicum: International Journal for Philosophy 17 (1):113-115.
    The article reviews the book Przewodnik po filozofii umysłu [Companion to the Philosophy of Mind], edited by Marcin Miłkowski and Robert Poczobut.
    Direct download  
     
    Export citation  
     
    Bookmark  
  4.  58
    Review:" Przewodnik Po Filozofii Umysłu (Companion to the Philosophy of Mind)," by Marcin Miłkowski and Robert Poczobut. [REVIEW]Tomasz Szubart - 2012 - Forum Philosophicum: International Journal for Philosophy 17 (1):113-115.
    This article reviews Marcin Miłkowski and Robert Poczobut, Przewodnik po filozofii umysłu [Companion to the Philosophy of Mind].
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  5.  37
    Explaining the Computational Mind, by Marcin Milkowski.Erik Myin & Karim Zahidi - 2015 - Mind 124 (495):951-954.
  6.  25
    Mechanistic Computational Individuation Without Biting the Bullet.Nir Fresco & Marcin Miłkowski - 2021 - British Journal for the Philosophy of Science 72 (2):431-438.
    Is the mathematical function being computed by a given physical system determined by the system’s dynamics? This question is at the heart of the indeterminacy of computation phenomenon (Fresco et al. [unpublished]). A paradigmatic example is a conventional electrical AND-gate that is often said to compute conjunction, but it can just as well be used to compute disjunction. Despite the pervasiveness of this phenomenon in physical computational systems, it has been discussed in the philosophical literature only indirectly, mostly with reference (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  7. Explaining the Computational Mind.Marcin Miłkowski - 2013 - MIT Press.
    In the book, I argue that the mind can be explained computationally because it is itself computational—whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music. All these capacities arise from complex information-processing operations of the mind. By analyzing the state of the art in cognitive science, I develop an account of computational explanation used to explain the capacities in question.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   94 citations  
  8. Structural Representations: Causally Relevant and Different From Detectors.Paweł Gładziejewski & Marcin Miłkowski - 2017 - Biology and Philosophy 32 (3):337-355.
    This paper centers around the notion that internal, mental representations are grounded in structural similarity, i.e., that they are so-called S-representations. We show how S-representations may be causally relevant and argue that they are distinct from mere detectors. First, using the neomechanist theory of explanation and the interventionist account of causal relevance, we provide a precise interpretation of the claim that in S-representations, structural similarity serves as a “fuel of success”, i.e., a relation that is exploitable for the representation using (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   37 citations  
  9. Unification by Fiat: Arrested Development of Predictive Processing.Piotr Litwin & Marcin Miłkowski - 2020 - Cognitive Science 44 (7).
    Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   14 citations  
  10.  3
    Turing’s Conceptual Engineering.Marcin Miłkowski - 2022 - Philosophies 7 (3):69.
    Alan Turing’s influence on subsequent research in artificial intelligence is undeniable. His proposed test for intelligence remains influential. In this paper, I propose to analyze his conception of intelligence by relying on traditional close reading and language technology. The Turing test is interpreted as an instance of conceptual engineering that rejects the role of the previous linguistic usage, but appeals to intuition pumps instead. Even though many conceive his proposal as a prime case of operationalism, it is more plausibly viewed (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  11. Mechanistic Computational Individuation Without Biting the Bullet.Nir Fresco & Marcin Miłkowski - 2019 - British Journal for the Philosophy of Science:axz005.
    Is the mathematical function being computed by a given physical system determined by the system’s dynamics? This question is at the heart of the indeterminacy of computation phenomenon (Fresco et al. [unpublished]). A paradigmatic example is a conventional electrical AND-gate that is often said to compute conjunction, but it can just as well be used to compute disjunction. Despite the pervasiveness of this phenomenon in physical computational systems, it has been discussed in the philosophical literature only indirectly, mostly with reference (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  12. From Wide Cognition to Mechanisms: A Silent Revolution.Marcin Miłkowski, Robert Clowes, Zuzanna Rucińska, Aleksandra Przegalińska, Tadeusz Zawidzki, Joel Krueger, Adam Gies, Marek McGann, Łukasz Afeltowicz, Witold Wachowski, Fredrik Stjernberg, Victor Loughlin & Mateusz Hohol - 2018 - Frontiers in Psychology 9.
    In this paper, we argue that several recent ‘wide’ perspectives on cognition (embodied, embedded, extended, enactive, and distributed) are only partially relevant to the study of cognition. While these wide accounts override traditional methodological individualism, the study of cognition has already progressed beyond these proposed perspectives towards building integrated explanations of the mechanisms involved, including not only internal submechanisms but also interactions with others, groups, cognitive artifacts, and their environment. The claim is substantiated with reference to recent developments in the (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   17 citations  
  13.  22
    Correspondence Theory of Semantic Information.Marcin Miłkowski - forthcoming - British Journal for the Philosophy of Science.
    A novel account of semantic information is proposed. The gist is that structural correspondence, analysed in terms of similarity, underlies an important kind of semantic information. In contrast to extant accounts of semantic information, it does not rely on correlation, covariation, causation, natural laws, or logical inference. Instead, it relies on structural similarity, defined in terms of correspondence between classifications of tokens into types. This account elucidates many existing uses of the notion of information, for example, in the context of (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  14. The Hard Problem Of Content: Solved (Long Ago).Marcin Miłkowski - 2015 - Studies in Logic, Grammar and Rhetoric 41 (1):73-88.
    In this paper, I argue that even if the Hard Problem of Content, as identified by Hutto and Myin, is important, it was already solved in natu- ralized semantics, and satisfactory solutions to the problem do not rely merely on the notion of information as covariance. I point out that Hutto and Myin have double standards for linguistic and mental representation, which leads to a peculiar inconsistency. Were they to apply the same standards to basic and linguistic minds, they would (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   18 citations  
  15. Explanatory Completeness and Idealization in Large Brain Simulations: A Mechanistic Perspective.Marcin Miłkowski - 2016 - Synthese 193 (5):1457-1478.
    The claim defended in the paper is that the mechanistic account of explanation can easily embrace idealization in big-scale brain simulations, and that only causally relevant detail should be present in explanatory models. The claim is illustrated with two methodologically different models: Blue Brain, used for particular simulations of the cortical column in hybrid models, and Eliasmith’s SPAUN model that is both biologically realistic and able to explain eight different tasks. By drawing on the mechanistic theory of computational explanation, I (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   15 citations  
  16. From Computer Metaphor to Computational Modeling: The Evolution of Computationalism.Marcin Miłkowski - 2018 - Minds and Machines 28 (3):515-541.
    In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   9 citations  
  17.  48
    Milkowski, Marcin., Explaining the Computational Mind. [REVIEW]Frances Egan - 2013 - Review of Metaphysics 67 (2):436-438.
  18.  17
    Cognitive Artifacts for Geometric Reasoning.Mateusz Hohol & Marcin Miłkowski - 2019 - Foundations of Science 24 (4):657-680.
    In this paper, we focus on the development of geometric cognition. We argue that to understand how geometric cognition has been constituted, one must appreciate not only individual cognitive factors, such as phylogenetically ancient and ontogenetically early core cognitive systems, but also the social history of the spread and use of cognitive artifacts. In particular, we show that the development of Greek mathematics, enshrined in Euclid’s Elements, was driven by the use of two tightly intertwined cognitive artifacts: the use of (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   4 citations  
  19. Satisfaction Conditions in Anticipatory Mechanisms.Marcin Miłkowski - 2015 - Biology and Philosophy 30 (5):709-728.
    The purpose of this paper is to present a general mechanistic framework for analyzing causal representational claims, and offer a way to distinguish genuinely representational explanations from those that invoke representations for honorific purposes. It is usually agreed that rats are capable of navigation because they maintain a cognitive map of their environment. Exactly how and why their neural states give rise to mental representations is a matter of an ongoing debate. I will show that anticipatory mechanisms involved in rats’ (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark   14 citations  
  20. Unification Strategies in Cognitive Science.Marcin Miłkowski - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):13–33.
    Cognitive science is an interdisciplinary conglomerate of various research fields and disciplines, which increases the risk of fragmentation of cognitive theories. However, while most previous work has focused on theoretical integration, some kinds of integration may turn out to be monstrous, or result in superficially lumped and unrelated bodies of knowledge. In this paper, I distinguish theoretical integration from theoretical unification, and propose some analyses of theoretical unification dimensions. Moreover, two research strategies that are supposed to lead to unification are (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   10 citations  
  21.  2
    Fallible Heuristics and Evaluation of Research Traditions. The Case of Embodied Cognition.Marcin Miłkowski - 2019 - Ruch Filozoficzny 75 (2):223.
    In this paper, I argue that embodied cognition, like many other research traditions in cognitive science, offers mostly fallible research heuristics rather than grand principles true of all cognitive processing. To illustrate this claim, I discuss Aizawa’s rebuttal of embodied and enactive accounts of vision. While Aizawa’s argument is sound against a strong reading of the enactive account, it does not undermine the way embodied cognition proceeds, because the claim he attacks is one of fallible heuristics. These heuristics may be (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  22. Representational Unification in Cognitive Science: Is Embodied Cognition a Unifying Perspective?Marcin Miłkowski & Przemysław Nowakowski - 2019 - Synthese 199 (Suppl 1):67-88.
    In this paper, we defend a novel, multidimensional account of representational unification, which we distinguish from integration. The dimensions of unity are simplicity, generality and scope, non-monstrosity, and systematization. In our account, unification is a graded property. The account is used to investigate the issue of how research traditions contribute to representational unification, focusing on embodied cognition in cognitive science. Embodied cognition contributes to unification even if it fails to offer a grand unification of cognitive science. The study of this (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  23. The False Dichotomy Between Causal Realization and Semantic Computation.Marcin Miłkowski - 2017 - Hybris. Internetowy Magazyn Filozoficzny 38:1-21.
    In this paper, I show how semantic factors constrain the understanding of the computational phenomena to be explained so that they help build better mechanistic models. In particular, understanding what cognitive systems may refer to is important in building better models of cognitive processes. For that purpose, a recent study of some phenomena in rats that are capable of ‘entertaining’ future paths (Pfeiffer and Foster 2013) is analyzed. The case shows that the mechanistic account of physical computation may be complemented (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  24.  42
    Function and Causal Relevance of Content.Marcin Miłkowski - 2016 - New Ideas in Psychology 40 (94-102).
    In this paper, I focus on a problem related to teleological theories of content namely, which notion of function makes content causally relevant? It has been claimed that some functional accounts of content make it causally irrelevant, or epiphenomenal; in which case, such notions of function could no longer act as the pillar of naturalized semantics. By looking closer at biological questions about behavior, I argue that past discussion has been oriented towards an ill-posed question. What I defend is a (...)
    Direct download  
     
    Export citation  
     
    Bookmark   10 citations  
  25. Beyond Formal Structure: A Mechanistic Perspective on Computation and Implementation.Marcin Miłkowski - 2011 - Journal of Cognitive Science 12 (4):359-379.
    In this article, after presenting the basic idea of causal accounts of implementation and the problems they are supposed to solve, I sketch the model of computation preferred by Chalmers and argue that it is too limited to do full justice to computational theories in cognitive science. I also argue that it does not suffice to replace Chalmers’ favorite model with a better abstract model of computation; it is necessary to acknowledge the causal structure of physical computers that is not (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   9 citations  
  26. Integrating Cognitive (Neuro)Science Using Mechanisms.Marcin Miłkowski - 2016 - Avant: Trends in Interdisciplinary Studies (2):45-67.
    In this paper, an account of theoretical integration in cognitive (neuro)science from the mechanistic perspective is defended. It is argued that mechanistic patterns of integration can be better understood in terms of constraints on representations of mechanisms, not just on the space of possible mechanisms, as previous accounts of integration had it. This way, integration can be analyzed in more detail with the help of constraintsatisfaction account of coherence between scientific representations. In particular, the account has resources to talk of (...)
    Direct download (8 more)  
     
    Export citation  
     
    Bookmark   6 citations  
  27. Replicability or Reproducibility? On the Replication Crisis in Computational Neuroscience and Sharing Only Relevant Detail.Marcin Miłkowski, Witold M. Hensel & Mateusz Hohol - 2018 - Journal of Computational Neuroscience 3 (45):163-172.
    Replicability and reproducibility of computational models has been somewhat understudied by “the replication movement.” In this paper, we draw on methodological studies into the replicability of psychological experiments and on the mechanistic account of explanation to analyze the functions of model replications and model reproductions in computational neuroscience. We contend that model replicability, or independent researchers' ability to obtain the same output using original code and data, and model reproducibility, or independent researchers' ability to recreate a model without original code, (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  28.  39
    Explanations in Cognitive Science: Unification Versus Pluralism.Marcin Miłkowski & Mateusz Hohol - 2020 - Synthese 199 (Suppl 1):1-17.
    The debate between the defenders of explanatory unification and explanatory pluralism has been ongoing from the beginning of cognitive science and is one of the central themes of its philosophy. Does cognitive science need a grand unifying theory? Should explanatory pluralism be embraced instead? Or maybe local integrative efforts are needed? What are the advantages of explanatory unification as compared to the benefits of explanatory pluralism? These questions, among others, are addressed in this Synthese’s special issue. In the introductory paper, (...)
    Direct download (2 more)  
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  29. Objections to Computationalism: A Survey.Marcin Miłkowski - 2018 - Roczniki Filozoficzne 66 (3):57-75.
    In this paper, the Author reviewed the typical objections against the claim that brains are computers, or, to be more precise, information-processing mechanisms. By showing that practically all the popular objections are based on uncharitable interpretations of the claim, he argues that the claim is likely to be true, relevant to contemporary cognitive science, and non-trivial.
    Direct download (7 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  30. Thinking About Semantic Information.Marcin Miłkowski - 2020 - Avant: Trends in Interdisciplinary Studies 11 (2):1-10.
    In his recent book, Daniel Dennett defends a novel account of semantic information in terms of design worth getting (Dennett, 2017). While this is an interesting proposal in itself, my purpose in this commentary is to challenge several of Dennett’s claims. First, he argues that semantic information can be transferred without encoding and storing it. Second, this lack of encoding is what makes semantic information unmeasurable. However, the argument for both these claims, presented by Dennett as an intuition pump, is (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  31. Why Think That the Brain is Not a Computer?Marcin Miłkowski - 2016 - APA Newsletter on Philosophy and Computers 16 (2):22-28.
    In this paper, I review the objections against the claim that brains are computers, or, to be precise, information-processing mechanisms. By showing that practically all the popular objections are either based on uncharitable interpretation of the claim, or simply wrong, I argue that the claim is likely to be true, relevant to contemporary cognitive (neuro)science, and non-trivial.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  32.  56
    A Mechanistic Account of Computational Explanation in Cognitive Science and Computational Neuroscience.Marcin Miłkowski - 2016 - In Vincent C. Müller (ed.), Computing and Philosophy. Springer. pp. 191-205.
    Explanations in cognitive science and computational neuroscience rely predominantly on computational modeling. Although the scientific practice is systematic, and there is little doubt about the empirical value of numerous models, the methodological account of computational explanation is not up-to-date. The current chapter offers a systematic account of computational explanation in cognitive science and computational neuroscience within a mechanistic framework. The account is illustrated with a short case study of modeling of the mirror neuron system in terms of predictive coding.
    Direct download  
     
    Export citation  
     
    Bookmark   4 citations  
  33. Mechanisms in Psychology: The Road Towards Unity?Marcin Miłkowski, Mateusz Hohol & Przemysław Nowakowski - 2019 - Theory & Psychology 29 (5):567–578.
    The focus of this special issue of Theory & Psychology is on explanatory mechanisms in psychology, especially on problems of particular prominence for psychological science such as theoretical integration and unification. Proponents of the framework of mechanistic explanation claim, in short, that satisfactory explanations in psychology and related fields are causal. They stress the importance of explaining phenomena by describing mechanisms that are responsible for them, in particular by elucidating how the organization of component parts and operations in mechanisms gives (...)
     
    Export citation  
     
    Bookmark   2 citations  
  34. Situatedness and Embodiment of Computational Systems.Marcin Miłkowski - 2017 - Entropy 19 (4):162.
    In this paper, the role of the environment and physical embodiment of computational systems for explanatory purposes will be analyzed. In particular, the focus will be on cognitive computational systems, understood in terms of mechanisms that manipulate semantic information. It will be argued that the role of the environment has long been appreciated, in particular in the work of Herbert A. Simon, which has inspired the mechanistic view on explanation. From Simon’s perspective, the embodied view on cognition seems natural but (...)
    Direct download (5 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  35. Computation and Multiple Realizability.Marcin Miłkowski - 2016 - In Vincent Müller (ed.), Fundamental Issues of Artificial Intelligence. Springer. pp. 29-41.
    Multiple realizability (MR) is traditionally conceived of as the feature of computational systems, and has been used to argue for irreducibility of higher-level theories. I will show that there are several ways a computational system may be seen to display MR. These ways correspond to (at least) five ways one can conceive of the function of the physical computational system. However, they do not match common intuitions about MR. I show that MR is deeply interest-related, and for this reason, difficult (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  36.  29
    Regarding Mind, Naturally.Marcin Miłkowski & Konrad Talmont-Kaminski (eds.) - 2013 - Cambridge Scholars Press.
    Naturalism is currently the most vibrantly developing approach to philosophy, with naturalised methodologies being applied across all the philosophical disciplines. One of the areas naturalism has been focussing upon is the mind, traditionally viewed as a topic hard to reconcile with the naturalistic worldview. A number of questions have been pursued in this context. What is the place of the mind in the world? How should we study the mind as a natural phenomenon? What is the significance of cognitive science (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  37. Computational Mechanisms and Models of Computation.Marcin Miłkowski - 2014 - Philosophia Scientiae 18:215-228.
    In most accounts of realization of computational processes by physical mechanisms, it is presupposed that there is one-to-one correspondence between the causally active states of the physical process and the states of the computation. Yet such proposals either stipulate that only one model of computation is implemented, or they do not reflect upon the variety of models that could be implemented physically. -/- In this paper, I claim that mechanistic accounts of computation should allow for a broad variation of models (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   3 citations  
  38.  16
    Prospection Does Not Imply Predictive Processing.Piotr Litwin & Marcin Miłkowski - 2020 - Behavioral and Brain Sciences 43.
    Predictive processing models of psychopathologies are not explanatorily consistent with the present account of abstract thought. These models are based on latent variables probabilistically mapping the structure of the world. As such, they cannot be informed by representational ontology based on mental objects and states. What actually is the case is merely some terminological affinity between subjective and informational uncertainty.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  39. Reverse-Engineering in Cognitive-Science.Marcin Miłkowski - 2013 - In Marcin Miłkowski & Konrad Talmont-Kaminski (eds.), Regarding Mind, Naturally. Cambridge Scholars Press. pp. 12-29.
    I discuss whether there are some lessons for philosophical inquiry over the nature of simulation to be learnt from the practical methodology of reengineering. I will argue that reengineering serves a similar purpose as simulations in theoretical science such as computational neuroscience or neurorobotics, and that the procedures and heuristics of reengineering help to develop solutions to outstanding problems of simulation.
    Direct download  
     
    Export citation  
     
    Bookmark   2 citations  
  40. Morphological Computation: Nothing but Physical Computation.Marcin Miłkowski - 2018 - Entropy 10 (20):942.
    The purpose of this paper is to argue against the claim that morphological computation is substantially different from other kinds of physical computation. I show that some (but not all) purported cases of morphological computation do not count as specifically computational, and that those that do are solely physical computational systems. These latter cases are not, however, specific enough: all computational systems, not only morphological ones, may (and sometimes should) be studied in various ways, including their energy efficiency, cost, reliability, (...)
    Direct download (6 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  41. Computational Mechanisms and Models of Computation.Marcin Miłkowski - 2014 - Philosophia Scientae 18:215-228.
    In most accounts of realization of computational processes by physical mechanisms, it is presupposed that there is one-to-one correspondence between the causally active states of the physical process and the states of the computation. Yet such proposals either stipulate that only one model of computation is implemented, or they do not reflect upon the variety of models that could be implemented physically. In this paper, I claim that mechanistic accounts of computation should allow for a broad variation of models of (...)
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  42. Is Computationalism Trivial?Marcin Miłkowski - 2007 - In Gordana Dodig Crnkovic & Susan Stuart (eds.), Computation, Information, Cognition: The Nexus and the Liminal. Cambridge Scholars Press.
    In this paper, I want to deal with the triviality threat to computationalism. On one hand, the controversial and vague claim that cognition involves computation is still denied. On the other, contemporary physicists and philosophers alike claim that all physical processes are indeed computational or algorithmic. This claim would justify the computationalism claim by making it utterly trivial. I will show that even if these two claims were true, computationalism would not have to be trivial.
    Direct download  
     
    Export citation  
     
    Bookmark   5 citations  
  43. Limits of Computational Explanation of Cognition.Marcin Miłkowski - 2013 - In Vincent C. Müller (ed.), Philosophy and Theory of Artificial Intelligence. Springer. pp. 69-84.
    In this chapter, I argue that some aspects of cognitive phenomena cannot be explained computationally. In the first part, I sketch a mechanistic account of computational explanation that spans multiple levels of organization of cognitive systems. In the second part, I turn my attention to what cannot be explained about cognitive systems in this way. I argue that information-processing mechanisms are indispensable in explanations of cognitive phenomena, and this vindicates the computational explanation of cognition. At the same time, it has (...)
    Translate
     
     
    Export citation  
     
    Bookmark   3 citations  
  44.  4
    Models of Environment.Marcin Miłkowski - 2016 - In Roger Frantz & Leslie Marsh (eds.), Minds, Models and Milieux. Commemorating the Centennial of the Birth of Herbert Simon. Palgrave-Macmillan. pp. 227-238.
    Herbert A. Simon is well known for his account of bounded rationality. Whereas classical economics idealized economic agency and framed rational choice in terms of the decision theory, Simon insisted that agents need not be optimal in their choices. They might be mere satispcers, i.e., attain good enough goals rather than optimal ones. At the same time, behaviorally as well as computationally, bounded rationality is much more realistic.
    Direct download  
     
    Export citation  
     
    Bookmark   3 citations  
  45. Przewodnik po filozofii umysłu.Marcin Miłkowski & Robert Poczobut (eds.) - 2012 - Kraków: W.A.M..
    A companion to the issues in the contemporary philosophy of mind.
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  46.  5
    Without More Theory, Psychology Will Be a Headless Rider.Witold M. Hensel, Marcin Miłkowski & Przemysław Nowakowski - 2022 - Behavioral and Brain Sciences 45.
    We argue that Yarkoni's proposed solutions to the generalizability crisis are half-measures because he does not recognize that the crisis arises from investigators' underappreciation of the roles of theory in experimental research. Rather than embracing qualitative analysis, the research community should make an effort to develop better theories and work toward consistently incorporating theoretical results into experimental practice.
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  47. Book Review: Jeff Buechner, Gödel, Putnam, and Functionalism: A New Reading of Representation and Reality. [REVIEW]Witold M. Hensel & Marcin Miłkowski - 2014 - Journal of Cognitive Science 15 (3):391-402.
  48. Wyjaśnianie w kognitywistyce.Marcin Miłkowski - 2013 - Przeglad Filozoficzny - Nowa Seria 86 (2):151-166.
    The paper defends the claim that the mechanistic explanation of information processing is the fundamental kind of explanation in cognitive science. These mechanisms are complex organized systems whose functioning depends on the orchestrated interaction of their component parts and processes. A constitutive explanation of every mechanism must include both appeal to its environment and to the role it plays in it. This role has been traditionally dubbed competence. To fully explain how this role is played it is necessary to explain (...)
    Direct download  
    Translate
     
     
    Export citation  
     
    Bookmark   1 citation  
  49. Jak Udawać Dualistę, Wprowadzając Epicykle Do Funkcjonalizmu?Marcin Miłkowski - 2011 - Przeglad Filozoficzny - Nowa Seria 78.
    Translate
     
     
    Export citation  
     
    Bookmark   2 citations  
  50. Filozofia jako inżynieria odwrotna: rzecz o naturalizmie Daniela C. Dennetta.Marcin Miłkowski - 2004 - Przeglad Filozoficzny - Nowa Seria 50 (2):75-89.
1 — 50 / 673