Trends in Contemporary Polish Philosophy of Mind
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Social Anti-Individualism, Objective Reference
Philosophy artd Phenomenological Research Vol. LXVII, No. 3, November 2003 Social Anti-Individualism, Objective Reference TYLER BURGE University of California, Los Angeles Donald Davidson taught me in graduate school. I have learned from him ever since. Quine and Hempel dealt the deathblows to the restricted approach to philosophy embodied in logical positivism. Davidson helped show how phi- losophy can say new and valuable things about traditional philosophical problems, including issues of fundamental human concern. His work is sys- tematic and subtle. I think that on many basic matters it is right. Disagree- ment will occupy most of my remarks. But agreement looms largest in the broader scheme of things. So first, agreement. I am in substantial agreement with Donald’s discus- sion of the subjective-particularly our knowledge of our propositional atti- tudes as being authoritative and non-evidential. I also agree on what he calls perceptual externalism, and on its compatibility with authoritative self- knowledge. I agree that perceptual knowledge is non-evidential, and that it is fundamentally and directly about the physical world, not about sense-data. I see knowledge of other minds somewhat differently. I think that, like percep tual knowledge and self-knowledge, it can be direct and non-evidential.’ But I agree in holding that self-knowledge and knowledge of other minds normally stand in a reciprocal relation. Our disagreements lie primarily in our understanding of the role of the social in anti-individualism (or externalism) and in our understanding of the nature of objectivity. First, let me characterize differences in our versions of social anti-indi- vidualism. -
Self-Deception Within the Predictive Coding Framework
Self-deception within the predictive coding framework Iuliia Pliushch Mainz 2016 Table of contents Table of contents __________________________________________________ ii List of figures ____________________________________________________ iv List of tables _____________________________________________________ v Introduction ______________________________________________________ 1 1 Review: Desiderata for the concept of self-deception _________________ 4 1.1 Motivation debate: intentionalists vs. deflationary positions __________ 5 1.1.1 Intentionalist positions ________________________________________________ 5 1.1.2 Deflationary positions _______________________________________________ 24 1.1.3 Constraints on a satisfactory theory of self-deception ______________________ 51 1.2 “Product” or kind of misrepresentation debate ____________________ 62 1.2.1 Belief (Van Leeuwen) vs. avowal (Audi) ________________________________ 66 1.2.2 Belief decomposed: regarding-as-true-stances (Funkhouser) and degrees of belief (Lynch, Porcher) ___________________________________________________________ 69 1.2.3 Dispositionalism (Bach, Schwitzgebel) vs. constructivism (Michel) __________ 73 1.2.4 Pretense (Gendler) __________________________________________________ 76 1.2.5 Emotional micro-takings (Borge) ______________________________________ 78 1.2.6 Self-deceptive process: belief formation or narrative construction? ___________ 82 1.2.7 Non-doxastic conception of self-deception _______________________________ 88 1.3 Classic psychological experiments -
Epistemology Readings
Epistemology: Living Philosophy in Contemporary Times WHAT IS KNOWLEDGE? WHAT MAKES FOR KNOWLEDGE? 8 December 2019 at Carindale Library Meeting Room After making up our mind on whether the centre of the universe to worlds beyond is something good, or some other value to us, we have already made the second response of asking ourselves whether we do know such things, whether is it true, whether it ought to be believed, and why? REFERENCES (The works listed are not a complete coverage of the contemporary field but to provide the best known and most significant in contemporary discussions. Apologies if anything important has been missed) The Key Texts Tyler Burge. “Individualism and Self-Knowledge” (The Journal of Philosophy, Vol. 85, No. 11, November 1988). Tyler Burge discussed derives from the juxtaposition of a restricted Cartesian conception of knowledge of one’s own thoughts and a nonindividualistic conception of the individuation of thoughts. Both conceptions are complex and controversial. Edmund Gettier. “Is Justified True Belief Knowledge?” (Analysis, Vol. 23, No. 6, June 1963). The Gettier problem, in the field of epistemology, is a landmark philosophical problem concerning our understanding of descriptive knowledge. Attributed to American philosopher Edmund Gettier, Gettier-type counterexamples (called "Gettier-cases") challenge the long-held justified true belief (JTB) account of knowledge. The JTB account holds that knowledge is equivalent to justified true belief; if all three conditions (justification, truth, and belief) are met of a given claim, then we have knowledge of that claim. In his 1963 three-page paper titled "Is Justified True Belief Knowledge?", Gettier attempts to illustrate by means of two counterexamples that there are cases where individuals can have a justified, true belief regarding a claim but still fail to know it because the reasons for the belief, while justified, turn out to be false. -
Bootstrap Hell: Perceptual Racial Biases in a Predictive Processing Framework
Bootstrap Hell: Perceptual Racial Biases in a Predictive Processing Framework Zachariah A. Neemeh ([email protected]) Department of Philosophy, University of Memphis Memphis, TN 38152 USA Abstract This enables us to extract patterns from ambiguous signals Predictive processing is transforming our understanding of the and establish hypotheses about how the world works. brain in the 21st century. Whereas in the 20th century we The training signals that we get from the world are, understood the brain as a passive organ taking in information however, biased in all the same unsightly ways that our from the world, today we are beginning to reconceptualize it societies are biased: by race, gender, socioeconomic status, as an organ that actively creates and tests hypotheses about its nationality, and sexual orientation. The problem is more world. The promised revolution of predictive processing than a mere sampling bias. Our societies are replete with extends beyond cognitive neuroscience, however, and is prejudice biases that shape the ways we think, act, and beginning to make waves in the philosophy of perception. Andy Clark has written that predictive processing creates a perceive. Indeed, a similar problem arises in machine “bootstrap heaven,” enabling the brain to develop complex learning applications when they are inadvertently trained on models of the world from limited data. I argue that the same socially biased data (Avery, 2019; N. T. Lee, 2018). The principles also create a “bootstrap hell,” wherein prejudice basic principle in operation here is “garbage in, garbage biases inherent in our inegalitarian societies result in out”: a predictive system that is trained on socially biased permanent perceptual modifications. -
Predictive Processing As a Systematic Basis for Identifying the Neural Correlates of Consciousness
Predictive processing as a systematic basis for identifying the neural correlates of consciousness Jakob Hohwya ([email protected]) Anil Sethb ([email protected]) Abstract The search for the neural correlates of consciousness is in need of a systematic, principled foundation that can endow putative neural correlates with greater predictive and explanatory value. Here, we propose the predictive processing framework for brain function as a promis- ing candidate for providing this systematic foundation. The proposal is motivated by that framework’s ability to address three general challenges to identifying the neural correlates of consciousness, and to satisfy two constraints common to many theories of consciousness. Implementing the search for neural correlates of consciousness through the lens of predictive processing delivers strong potential for predictive and explanatory value through detailed, systematic mappings between neural substrates and phenomenological structure. We con- clude that the predictive processing framework, precisely because it at the outset is not itself a theory of consciousness, has significant potential for advancing the neuroscience of consciousness. Keywords Active inference ∙ Consciousness ∙ Neural correlates ∙ Prediction error minimization This article is part of a special issue on “The Neural Correlates of Consciousness”, edited by Sascha Benjamin Fink. 1 Introduction The search for the neural correlates of consciousness (NCCs) has now been under- way for several decades (Crick & Koch, 1990b). Several interesting and suggestive aCognition & Philosophy Lab, Monash University bSackler Center for Consciousness Science and School of Engineering and Informatics, University of Sussex; Azrieli Program in Brain, Mind, and Consciousness Toronto Hohwy, J., & Seth, A. (2020). Predictive processing as a systematic basis for identifying the neural correlates of consciousness. -
To Err and Err, but Less and Less
TOERRANDERR,BUTLESSANDLESS Predictive coding and affective value in perception, art, and autism sander van de cruys Dissertation offered to obtain the degree of Doctor of Psychology (PhD) supervisor: Prof. Dr. Johan Wagemans Laboratory of Experimental Psychology Faculty of Psychology and Pedagogical Sciences KU Leuven 2014 © 2014, Sander Van de Cruys Cover image created by randall casaer. Title adapted from the poem The road to wisdom by the Danish scientist piet hein. Back cover image from Les Songes Drolatiques de Pantagruel (1565) attributed to françois desprez, but based on the fabulous, chimerical characters invented by françois ra- belais. Typographical style based on classicthesis developed by andré miede (GNU General Public Licence). Typeset in LATEX. abstract The importance of prediction or expectation in the functioning of the mind is appreciated at least since the birth of psychology as a separate discipline. From minute moment-to-moment predictions of the movements of a melody or a ball, to the long-term plans of our friends and foes, we continuously predict the world around us, because we learned the statistical regularities that govern it. It is often only when predictions go awry —when the sensory input does not match with the predictions we implicitly formed— that we become conscious of this incessant predictive activity of our brains. In the last decennia, a computational model called predictive coding emerged that attempts to formalize this matching pro- cess, hence explaining perceptual inference and learning. The predictive coding scheme describes how each level in the cortical processing hierarchy predicts inputs from levels below. In this way resources can be focused on that part of the input that was unpredicted, and therefore signals important changes in the environment that are still to be explained. -
What Do Predictive Coders Want?
Synthese manuscript No. (will be inserted by the editor) What do Predictive Coders Want? Colin Klein Macquarie University Sydney NSW, 2109 Australia Tel: +61 02 9850 8876 Fax: +61 02 9850 8892 [email protected] Abstract The so-called “dark room problem” makes vivd the challenges that purely predictive models face in accounting for motivation. I argue that the problem is a serious one. Proposals for solving the dark room problem via predictive coding architectures are either empirically inadequate or computa- tionally intractable. The Free Energy principle might avoid the problem, but only at the cost of setting itself up as a highly idealized model, which is then literally false to the world. I draw at least one optimistic conclusion, however. Real-world, real-time systems may embody motivational states in a variety of ways consistent with idealized principles like FEP, including ways that are intuitively embodied and extended. This may allow predictive coding theo- rists to reconcile their account with embodied principles, even if it ultimately undermines loftier ambitions. Keywords Predictive Coding, Free Energy Principle, Homeostasis, Good Regulator The- orem, Extended Mind, Explanation Acknowledgements Research on this work was funded by Australian Research Council Grant FT140100422. For helpful discussions, thanks to Esther Klein, Julia Sta↵el, Wolfgang Schwartz, the ANU 2013 reading group on predictive coding, and participants at the 2015 CAVE “”Predictive Coding, Delusions, and Agency” workshop at Macquarie University. For feedback on earlier drafts of this work, additional thanks to Pe- ter Clutton, Jakob Hohwy, Max Coltheart, Michael Kirchho↵, Bryce Huebner, 2 Luke Roelofs, Daniel Stoljar, two anonymous referees, the ANU Philosophy of Mind work in progress group, and an audience at the “Predictive Brains and Embodied, Enactive Cognition” workshop at the University of Wollongong. -
Behavioral and Brain Sciences | Cambridge Core
2/14/2020 Prediction, embodiment, and representation | Behavioral and Brain Sciences | Cambridge Core Home> Journals> Behavioral and Brain Sciences> Volume 42 > Prediction, embodiment, and rep... English | Français Behavioral and Brain Sciences Volume 42 2019 , e216 Prediction, embodiment, and representation István Aranyosi (a1) DOI: https://doi.org/10.1017/S0140525X19001274 Published online by Cambridge University Press: 28 November 2019 In response to: Is coding a relevant metaphor for the brain? Related commentaries (27) Author response Abstract First, I argue that there is no agreement within non-classical cognitive science as to whether one should eliminate representations, hence, it is not clear that Brette's appeal to it is going to solve the problems with coding. Second, I argue that Brette's criticism of predictive coding as being intellectualistic is not justified, as predictive coding is compatible with embodied cognition. Copyright COPYRIGHT: © Cambridge University Press 2019 Hide All https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/prediction-embodiment-and-representation/D38B6A8329371101F9… 1/2 Among the shortcomings that the metaphor of coding involves, Brette mentions its inability to truly function as a representation. At the same time, he seeks an alternative to coding in non-classical cognitive science, such as dynamic systems, ecological psychology, and embodied cognition, which, in their most radical and most interesting versions are precisely anti-representationalist approaches. How is the former complaint to be squared with the latter alleged solution? Brette does not tell us, but his critical discussion of predictive coding indicates that, ultimately, his problem with coding is the alleged intellectualism involved in it, hence, it is the alternative, embodied and embedded cognition theory that he thinks should be understood as currently the best remedy. -
Vanilla PP for Philosophers: a Primer on Predictive Processing
Vanilla PP for Philosophers: A Primer on Predictive Processing Wanja Wiese & Thomas Metzinger The goal of this short chapter, aimed at philosophers, is to provide an overview and brief Keywords explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how the central Active inference | Attention | Bayesian terms are used in this collection. To keep things simple, we will first informally define a set Inference | Environmental seclusion of features important to predictive processing, supplemented by some short explanations | Free energy principle | Hierarchi- and an alphabetic glossary. cal processing | Ideomotor principle The features described here are not shared in all PP accounts. Some may not be nec- | Perception | Perceptual inference | essary for an individual model; others may be contested. Indeed, not even all authors of Precision | Prediction | Prediction error this collection will accept all of them. To make this transparent, we have encouraged con- minimization | Predictive processing | tributors to indicate briefly which of the features arenecessary to support the arguments Predictive control | Statistical estima- they provide, and which (if any) are incompatible with their account. For the sake of clar- tion | Top-down processing ity, we provide the complete list here, very roughly ordered by how central we take them to be for “Vanilla PP” (i.e., a formulation of predictive processing that will probably be Acknowledgments accepted by most researchers working on this topic). More detailed explanations will be We are extremely grateful to Regina given below. Note that these features do not specify individually necessary and jointly suf- Fabry and Jakob Hohwy for providing ficient conditions for the application of the concept of “predictive processing”. -
An Interview with Donald Davidson
An interview with Donald Davidson Donald Davidson is an analytic philosopher in the tradition of Wittgenstein and Quine, and his formulations of action, truth and communicative interaction have generated considerable debate in philosophical circles around the world. The following "interview" actually took place over two continents and several years. It's merely a part of what must now be literally hundreds of hours of taped conversations between Professor Davidson and myself. I hope that what follows will give you a flavor of Donald Davidson, the person, as well as the philosopher. I begin with some of the first tapes he and I made, beginning in Venice, spring of 1988, continuing in San Marino, in spring of 1990, and in St Louis, in winter of 1991, concerning his induction into academia. With some insight into how Professor Davidson came to the profession, a reader might look anew at some of his philosophical writings; as well as get a sense of how the careerism unfortunately so integral to academic life today was so alien to the generation of philosophers Davidson is a member of. The very last part of this interview is from more recent tapes and represents Professor Davidson's effort to try to make his philosophical ideas available to a more general audience. Lepore: Tell me a bit about the early days. Davidson: I was born in Springfield, Massachusetts, on March 6, 1917 to Clarence ("Davie") Herbert Davidson and Grace Cordelia Anthony. My mother's father's name was "Anthony" but her mother had married twice and by coincidence both her husbands were named "Anthony". -
Of Bayes and Bullets: an Embodied, Situated, Targeting-Based Account of Predictive Processing
Western University Scholarship@Western Brain and Mind Institute Researchers' Publications Brain and Mind Institute 2017 Of Bayes and bullets: An embodied, situated, targeting-based account of predictive processing M.L. Anderson Philosophy, Rotman Institute Western University Follow this and additional works at: https://ir.lib.uwo.ca/brainpub Part of the Neurosciences Commons, and the Psychology Commons Citation of this paper: Anderson, M.L., "Of Bayes and bullets: An embodied, situated, targeting-based account of predictive processing" (2017). Brain and Mind Institute Researchers' Publications. 53. https://ir.lib.uwo.ca/brainpub/53 Of Bayes and Bullets: An Embodied, Situated, Targeting-Based Account of Predictive Processing Michael L. Anderson Here I argue that Jakob Hohwy’s (Hohwy 2013) cognitivist interpretation of pre- Keywords dictive processing (a) does not necessarily follow from the evidence for the im- portance of Bayesian processing in the brain; (b) is rooted in a misunderstanding Bayesian brain | Ecological psychol- of our epistemic position in the world; and (c) is undesirable in that it leads to ogy | Embodied cognition epistemic internalism or idealism. My claim is that the internalist/idealist conclu- sions do not follow from predictive processing itself, but instead from the model of perceptionHohwy ’s adopts, and that there are alternate models of perception that do not lend themselves to idealist conclusions. The position I advocate is similar to Andy Clark’s embodied/embedded interpretation of Bayesian process- ing (Clark 2015); however, I argue that Clark’s position, as currently stated, also potentially leads to idealist conclusions. I offer a specific emendation toClark’s view that I believe avoids this pitfall. -
General Introduction
The University of Manchester Research General Introduction Link to publication record in Manchester Research Explorer Citation for published version (APA): Crawford, S. (2011). General Introduction. In Philosophy of Mind: Critical Concepts in Philosophy (1 ed., Vol. 1, pp. 1-26). Routledge. Published in: Philosophy of Mind Citing this paper Please note that where the full-text provided on Manchester Research Explorer is the Author Accepted Manuscript or Proof version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version. General rights Copyright and moral rights for the publications made accessible in the Research Explorer are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Takedown policy If you believe that this document breaches copyright please refer to the University of Manchester’s Takedown Procedures [http://man.ac.uk/04Y6Bo] or contact [email protected] providing relevant details, so we can investigate your claim. Download date:30. Sep. 2021 GENERAL INTRODUCTION by Sean Crawford to Sean Crawford (ed.) PHILOSOPHY OF MIND Critical Concepts of Philosophy 4 Vols. London: Routledge, 2011.∗ “Imagine: inside, in the nerves, in the head - that is, these nerves are there in the brain... (damn them!) there are sort of little tails, the little tails of those nerves, and as soon as they begin quivering ... that is, you see, I look at something with my eyes and then they begin quivering, those little tails ..