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      Why Build a Robot With Artificial Consciousness? How to Begin? A Cross-Disciplinary Dialogue on the Design and Implementation of a Synthetic Model of Consciousness

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          Abstract

          Creativity is intrinsic to Humanities and STEM disciplines. In the activities of artists and engineers, for example, an attempt is made to bring something new into the world through counterfactual thinking. However, creativity in these disciplines is distinguished by differences in motivations and constraints. For example, engineers typically direct their creativity toward building solutions to practical problems, whereas the outcomes of artistic creativity, which are largely useless to practical purposes, aspire to enrich the world aesthetically and conceptually. In this essay, an artist (DHS) and a roboticist (GS) engage in a cross-disciplinary conceptual analysis of the creative problem of artificial consciousness in a robot, expressing the counterfactual thinking necessitated by the problem, as well as disciplinary differences in motivations, constraints, and applications. We especially deal with the question of why one would build an artificial consciousness and we consider how an illusionist theory of consciousness alters prominent ethical debates on synthetic consciousness. We discuss theories of consciousness and their applicability to synthetic consciousness. We discuss practical approaches to implementing artificial consciousness in a robot and conclude by considering the role of creativity in the project of developing an artificial consciousness.

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          The free-energy principle: a unified brain theory?

          A free-energy principle has been proposed recently that accounts for action, perception and learning. This Review looks at some key brain theories in the biological (for example, neural Darwinism) and physical (for example, information theory and optimal control theory) sciences from the free-energy perspective. Crucially, one key theme runs through each of these theories - optimization. Furthermore, if we look closely at what is optimized, the same quantity keeps emerging, namely value (expected reward, expected utility) or its complement, surprise (prediction error, expected cost). This is the quantity that is optimized under the free-energy principle, which suggests that several global brain theories might be unified within a free-energy framework.
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            Whatever next? Predictive brains, situated agents, and the future of cognitive science.

            Andy Clark (2013)
            Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to adaptive success. This target article critically examines this "hierarchical prediction machine" approach, concluding that it offers the best clue yet to the shape of a unified science of mind and action. Sections 1 and 2 lay out the key elements and implications of the approach. Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the methodological, and the more properly conceptual. The paper ends (sections 4 and 5) by asking how such approaches might impact our more general vision of mind, experience, and agency.
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              The free-energy principle: a rough guide to the brain?

              This article reviews a free-energy formulation that advances Helmholtz's agenda to find principles of brain function based on conservation laws and neuronal energy. It rests on advances in statistical physics, theoretical biology and machine learning to explain a remarkable range of facts about brain structure and function. We could have just scratched the surface of what this formulation offers; for example, it is becoming clear that the Bayesian brain is just one facet of the free-energy principle and that perception is an inevitable consequence of active exchange with the environment. Furthermore, one can see easily how constructs like memory, attention, value, reinforcement and salience might disclose their simple relationships within this framework.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                21 April 2021
                2021
                : 12
                : 530560
                Affiliations
                [1] 1Communication Studies and Media Arts, McMaster University , Hamilton, ON, Canada
                [2] 2Department of Excellence in Robotics & AI, Scuola Superiore Sant'Anna , Pisa, Italy
                [3] 3The BioRobotics Institute, Scuola Superiore Sant'Anna , Pisa, Italy
                Author notes

                Edited by: Chiara Fini, Sapienza University of Rome, Italy

                Reviewed by: Alfredo Paternoster, University of Bergamo, Italy; Aaron Kozbelt, Brooklyn College and the Graduate Center of the City University of New York, United States

                *Correspondence: David Harris Smith dhsmith@ 123456mcmaster.ca

                This article was submitted to Theoretical and Philosophical Psychology, a section of the journal Frontiers in Psychology

                †These authors have contributed equally to this work

                Article
                10.3389/fpsyg.2021.530560
                8096926
                70dd5946-e017-4f83-b956-9e2c4512fc00
                Copyright © 2021 Smith and Schillaci.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 29 January 2020
                : 12 March 2021
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 80, Pages: 14, Words: 10758
                Funding
                Funded by: H2020 Marie Skłodowska-Curie Actions 10.13039/100010665
                Categories
                Psychology
                Conceptual Analysis

                Clinical Psychology & Psychiatry
                artificial consciousness,synthetic consciousness,robotics,art,interdisciplinary dialogue,synthetic phenomenology

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