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      Consciousness matters: phenomenal experience has functional value

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          Abstract

          ‘Why would we do anything at all if the doing was not doing something to us?’ In other words: What is consciousness good for? Here, reversing classical views, according to many of which subjective experience is a mere epiphenomenon that affords no functional advantage, we propose that subject-level experience—‘What it feels like’—is endowed with intrinsic value, and it is precisely the value agents associate with their experiences that explains why they do certain things and avoid others. Because experiences have value and guide behaviour, consciousness has a function. Under this hypothesis of ‘phenomenal worthiness’, we argue that it is only in virtue of the fact that conscious agents ‘experience’ things and ‘care’ about those experiences that they are ‘motivated’ to act in certain ways and that they ‘prefer’ some states of affairs vs. others. Overviewing how the concept of value has been approached in decision-making, emotion research and consciousness research, we argue that phenomenal consciousness has intrinsic value and conclude that if this is indeed the case, then it must have a function. Phenomenal experience might act as a mental currency of sorts, which not only endows conscious mental states with intrinsic value but also makes it possible for conscious agents to compare vastly different experiences in a common subject-centred space—a feature that readily explains the fact that consciousness is ‘unified’. The phenomenal worthiness hypothesis, in turn, makes the ‘hard problem’ of consciousness more tractable, since it can then be reduced to a problem about function.

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          A long-standing goal of artificial intelligence is an algorithm that learns, tabula rasa, superhuman proficiency in challenging domains. Recently, AlphaGo became the first program to defeat a world champion in the game of Go. The tree search in AlphaGo evaluated positions and selected moves
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            The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value.

            Numerous experiments have recently sought to identify neural signals associated with the subjective value (SV) of choice alternatives. Theoretically, SV assessment is an intermediate computational step during decision making, in which alternatives are placed on a common scale to facilitate value-maximizing choice. Here we present a quantitative, coordinate-based meta-analysis of 206 published fMRI studies investigating neural correlates of SV. Our results identify two general patterns of SV-correlated brain responses. In one set of regions, both positive and negative effects of SV on BOLD are reported at above-chance rates across the literature. Areas exhibiting this pattern include anterior insula, dorsomedial prefrontal cortex, dorsal and posterior striatum, and thalamus. The mixture of positive and negative effects potentially reflects an underlying U-shaped function, indicative of signal related to arousal or salience. In a second set of areas, including ventromedial prefrontal cortex and anterior ventral striatum, positive effects predominate. Positive effects in the latter regions are seen both when a decision is confronted and when an outcome is delivered, as well as for both monetary and primary rewards. These regions appear to constitute a "valuation system," carrying a domain-general SV signal and potentially contributing to value-based decision making. Copyright © 2013 Elsevier Inc. All rights reserved.
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              What Is It Like to Be a Bat?

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                Author and article information

                Contributors
                Journal
                Neurosci Conscious
                Neurosci Conscious
                nconsc
                Neuroscience of Consciousness
                Oxford University Press (UK )
                2057-2107
                2022
                25 April 2022
                25 April 2022
                : 2022
                : 1 , Special Issue: Consciousness science and its theories
                : niac007
                Affiliations
                departmentConsciousness, Cognition & Computation Group, Center for Research in Cognition & Neuroscience, ULB Neuroscience Institute, Université libre de Bruxelles , Brussels, Belgium
                departmentCognitive and Computational Neuroscience Laboratory, Inserm, École Normale Supérieure—PSL University , Paris, France
                Author notes
                *Correspondence address. Center for Research in Cognition & Neurosciences, ULB Neuroscience Institute, Université Libre de Bruxelles, 50 Avenue F.-D. Roosevelt CP191, Bruxelles 1050, Belgium. Tel: +3226503296; Fax: +3226502609; E-mail: axcleer@ 123456ulb.ac.be
                [§]

                Catherine Tallon-Baudry, http://orcid.org/0000-0001-8480-5831

                Author information
                https://orcid.org/0000-0002-9757-5235
                https://orcid.org/0000-0001-8480-5831
                Article
                niac007
                10.1093/nc/niac007
                9036654
                35479522
                86687cbe-1126-4194-a7bb-85475883ebb6
                © The Author(s) 2022. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License ( https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

                History
                : 01 May 2021
                : 04 February 2022
                : 14 March 2022
                : 08 March 2022
                : 25 April 2022
                Page count
                Pages: 11
                Funding
                Funded by: Canadian Institute for Advanced Research, DOI 10.13039/100007631;
                Award ID: BMC Program
                Funded by: H2020 European Research Council, DOI 10.13039/100010663;
                Award ID: 670325
                Funded by: Agence Nationale de la Recherche, DOI 10.13039/501100001665;
                Award ID: ANR-17-EURE-0017
                Categories
                Review Article
                AcademicSubjects/SCI01870
                AcademicSubjects/SCI01880
                AcademicSubjects/SCI01950
                AcademicSubjects/SCI02120
                AcademicSubjects/SCI02139

                consciousness,function,phenomenal experience,hard problem,feeling

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