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  1. Embodiment, Consciousness, and the Massively Representational Mind.Robert D. Rupert - 2011 - Philosophical Topics 39 (1):99-120.
    In this paper, I claim that extant empirical data do not support a radically embodied understanding of the mind but, instead, suggest (along with a variety of other results) a massively representational view. According to this massively representational view, the brain is rife with representations that possess overlapping and redundant content, and many of these represent other mental representations or derive their content from them. Moreover, many behavioral phenomena associated with attention and consciousness are best explained by the coordinated activity (...)
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  • LOT, CTM, and the Elephant in the Room.Susan Schneider - 2009 - Synthese 170 (2):235 - 250.
    According to the language of thought (LOT) approach and the related computational theory of mind (CTM), thinking is the processing of symbols in an inner mental language that is distinct from any public language. Herein, I explore a deep problem at the heart of the LOT/CTM program—it has yet to provide a plausible conception of a mental symbol.
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  • Between Language and Consciousness: Linguistic Qualia, Awaremess, and Cognitive Models.Piotr Konderak - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):285-302.
    The main goal of the paper is to present a putative role of consciousness in language capacity. The paper contrasts the two approaches characteristic for cognitive semiotics and cognitive science. Language is treated as a mental phenomenon and a cognitive faculty. The analysis of language activity is based on the Chalmers’ distinction between the two forms of consciousness: phenomenal and psychological. The approach is seen as an alternative to phenomenological analyses typical for cognitive semiotics. Further, a cognitive model of the (...)
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  • Logic and Social Cognition.Rineke Verbrugge - 2009 - Journal of Philosophical Logic 38 (6):649-680.
    This article takes off from Johan van Benthem’s ruminations on the interface between logic and cognitive science in his position paper “Logic and reasoning: Do the facts matter?”. When trying to answer Van Benthem’s question whether logic can be fruitfully combined with psychological experiments, this article focuses on a specific domain of reasoning, namely higher-order social cognition, including attributions such as “Bob knows that Alice knows that he wrote a novel under pseudonym”. For intelligent interaction, it is important that the (...)
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  • Systems, Functions, and Intrinsic Natures: On Adams and Aizawa's The Bounds of Cognition. [REVIEW]Robert D. Rupert - 2010 - Philosophical Psychology 23 (1):113-123.
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  • Five-Year-Olds’ Systematic Errors in Second-Order False Belief Tasks Are Due to First-Order Theory of Mind Strategy Selection: A Computational Modeling Study.Burcu Arslan, Niels A. Taatgen & Rineke Verbrugge - 2017 - Frontiers in Psychology 8.
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  • Electron Imaging Technology for Whole Brain Neural Circuit Mapping.Kenneth J. Hayworth - 2012 - International Journal of Machine Consciousness 4 (01):87-108.
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  • WikiSilo: A Self-Organizing, Crowd Sourcing System for Interdisciplinary Science [Supporting Paper].David Pierre Leibovitz, Robert L. West & Mike Belanger - manuscript
    WikiSilo is a tool for theorizing across interdisciplinary fields such as Cognitive Science, and provides a vocabulary for talking about the problems of doing so. It can be used to demonstrate that a particular cognitive theory is complete and coherent at multiple levels of discourse, and commensurable with and relevant to a wider domain of cognition. WikiSilo is also a minimalist theory and methodology for effectively doing science. WikiSilo is simultaneously similar to and distinct, as well as integrated and separated (...)
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  • 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 (...)
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  • Functional Analyses, Mechanistic Explanations, and Explanatory Tradeoffs.Sergio Daniel Barberis - 2013 - Journal of Cognitive Science 14:229-251.
    Recently, Piccinini and Craver have stated three theses concerning the relations between functional analysis and mechanistic explanation in cognitive sciences: No Distinctness: functional analysis and mechanistic explanation are explanations of the same kind; Integration: functional analysis is a kind of mechanistic explanation; and Subordination: functional analyses are unsatisfactory sketches of mechanisms. In this paper, I argue, first, that functional analysis and mechanistic explanations are sub-kinds of explanation by scientific (idealized) models. From that point of view, we must take into account (...)
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  • Classical Computational Models.Richard Samuels - 2018 - In Mark Sprevak & Matteo Colombo (ed.), The Routledge Handbook of the Computational Mind. Oxford, UK: pp. 103-119.
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  • On Evolution of Thinking About Semiosis: Semiotics Meets Cognitive Science.Piotr Konderak - 2016 - Avant: Trends in Interdisciplinary Studies 7 (2):82-103.
    The aim of the paper is to sketch an idea—seen from the point of view of a cognitive scientist—of cognitive semiotics as a discipline. Consequently, the article presents aspects of the relationship between the two disciplines: semiotics and cognitive science. The main assumption of the argumentation is that at least some semiotic processes are also cognitive processes. At the methodological level, this claim allows for application of cognitive models as explanations of selected semiotic processes. In particular, the processes of embedded (...)
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  • Introduction: Philosophy and Cognitive Science.Richard Samuels, Eric Margolis & Stephen Stich - 2012 - In Eric Margolis, Richard Samuels & Stephen Stich (eds.), The Oxford Handbook of Philosophy of Cognitive Science. Oxford University Press. pp. 3-18.
    This chapter offers a high-level overview of the philosophy of cognitive science and an introduction to the Oxford Handbook of Philosophy of Cognitive Science. The philosophy of cognitive science emerged out of a set of common and overlapping interests among philosophers and scientists who study the mind. We identify five categories of issues that illustrate the best work in this broad field: (1) traditional philosophical issues about the mind that have been invigorated by research in cognitive science, (2) issues regarding (...)
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  • How WM Load Influences Linguistic Processing in Adults: A Computational Model of Pronoun Interpretation in Discourse.Jacolien Rij, Hedderik Rijn & Petra Hendriks - 2013 - Topics in Cognitive Science 5 (3):564-580.
    This paper presents a study of the effect of working memory load on the interpretation of pronouns in different discourse contexts: stories with and without a topic shift. We discuss a computational model (in ACT-R, Anderson, 2007) to explain how referring expressions are acquired and used. On the basis of simulations of this model, it is predicted that WM constraints only affect adults' pronoun resolution in stories with a topic shift, but not in stories without a topic shift. This latter (...)
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  • Philosophy of the Cognitive Sciences.William Bechtel & Mitchell Herschbach - 2010 - In Fritz Allhoff (ed.), Philosophies of the Sciences. Wiley-Blackwell. pp. 239--261.
    Cognitive science is an interdisciplinary research endeavor focusing on human cognitive phenomena such as memory, language use, and reasoning. It emerged in the second half of the 20th century and is charting new directions at the beginning of the 21st century. This chapter begins by identifying the disciplines that contribute to cognitive science and reviewing the history of the interdisciplinary engagements that characterize it. The second section examines the role that mechanistic explanation plays in cognitive science, while the third focuses (...)
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  • The Nature and Transfer of Cognitive Skills.Niels A. Taatgen - 2013 - Psychological Review 120 (3):439-471.
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  • Models of Verbal Working Memory Capacity: What Does It Take to Make Them Work?Nelson Cowan, Jeffrey N. Rouder, Christopher L. Blume & J. Scott Saults - 2012 - Psychological Review 119 (3):480-499.
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  • Conditional Routing of Information to the Cortex: A Model of the Basal Ganglia’s Role in Cognitive Coordination.Andrea Stocco, Christian Lebiere & John R. Anderson - 2010 - Psychological Review 117 (2):541-574.
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  • Rational Adaptation Under Task and Processing Constraints: Implications for Testing Theories of Cognition and Action.Andrew Howes, Richard L. Lewis & Alonso Vera - 2009 - Psychological Review 116 (4):717-751.
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  • An Integrated Model of Cognitive Control in Task Switching.Erik M. Altmann & Wayne D. Gray - 2008 - Psychological Review 115 (3):602-639.
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  • The Acquisition of Robust and Flexible Cognitive Skills.Niels A. Taatgen, David Huss, Daniel Dickison & John R. Anderson - 2008 - Journal of Experimental Psychology: General 137 (3):548-565.
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  • Cognitive Modeling of Individual Variation in Reference Production and Comprehension.Petra Hendriks - 2016 - Frontiers in Psychology 7.
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  • Cognitive Model of Trust Dynamics Predicts Human Behavior Within and Between Two Games of Strategic Interaction with Computerized Confederate Agents.Michael G. Collins, Ion Juvina & Kevin A. Gluck - 2016 - Frontiers in Psychology 7.
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  • Mandevillian Intelligence.Paul R. Smart - 2018 - Synthese 195 (9):4169-4200.
    Mandevillian intelligence is a specific form of collective intelligence in which individual cognitive vices are seen to play a positive functional role in yielding collective forms of cognitive success. The present paper introduces the concept of mandevillian intelligence and reviews a number of strands of empirical research that help to shed light on the phenomenon. The paper also attempts to highlight the value of the concept of mandevillian intelligence from a philosophical, scientific and engineering perspective. Inasmuch as we accept the (...)
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  • Simulations in Cyber-Security: A Review of Cognitive Modeling of Network Attackers, Defenders, and Users. [REVIEW]Vladislav D. Veksler, Norbou Buchler, Blaine E. Hoffman, Daniel N. Cassenti, Char Sample & Shridat Sugrim - 2018 - Frontiers in Psychology 9.
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  • Beyond Single‐Level Accounts: The Role of Cognitive Architectures in Cognitive Scientific Explanation.Richard P. Cooper & David Peebles - 2015 - Topics in Cognitive Science 7 (2):243-258.
    We consider approaches to explanation within the cognitive sciences that begin with Marr's computational level or Marr's implementational level and argue that each is subject to fundamental limitations which impair their ability to provide adequate explanations of cognitive phenomena. For this reason, it is argued, explanation cannot proceed at either level without tight coupling to the algorithmic and representation level. Even at this level, however, we argue that additional constraints relating to the decomposition of the cognitive system into a set (...)
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  • Neural Correlates of Workload Transition in Multitasking: An ACT-R Model of Hysteresis Effect.Na Young Kim, Russell House, Myung H. Yun & Chang S. Nam - 2019 - Frontiers in Human Neuroscience 12.
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  • RACE/A: An Architectural Account of the Interactions Between Learning, Task Control, and Retrieval Dynamics.Leendert van Maanen, Hedderik van Rijn & Niels Taatgen - 2012 - Cognitive Science 36 (1):62-101.
    This article discusses how sequential sampling models can be integrated in a cognitive architecture. The new theory Retrieval by Accumulating Evidence in an Architecture (RACE/A) combines the level of detail typically provided by sequential sampling models with the level of task complexity typically provided by cognitive architectures. We will use RACE/A to model data from two variants of a picture–word interference task in a psychological refractory period design. These models will demonstrate how RACE/A enables interactions between sequential sampling and long-term (...)
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  • Toward a Unified View of Cognitive Control.Dario D. Salvucci & Niels A. Taatgen - 2011 - Topics in Cognitive Science 3 (2):227-230.
    Allen Newell (1973) once observed that psychology researchers were playing “twenty questions with nature,” carving up human cognition into hundreds of individual phenomena but shying away from the difficult task of integrating these phenomena with unifying theories. We argue that research on cognitive control has followed a similar path, and that the best approach toward unifying theories of cognitive control is that proposed by Newell, namely developing theories in computational cognitive architectures. Threaded cognition, a recent theory developed within the ACT-R (...)
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  • Symbol Interdependency in Symbolic and Embodied Cognition.Max M. Louwerse - 2011 - Topics in Cognitive Science 3 (2):273-302.
    Whether computational algorithms such as latent semantic analysis (LSA) can both extract meaning from language and advance theories of human cognition has become a topic of debate in cognitive science, whereby accounts of symbolic cognition and embodied cognition are often contrasted. Albeit for different reasons, in both accounts the importance of statistical regularities in linguistic surface structure tends to be underestimated. The current article gives an overview of the symbolic and embodied cognition accounts and shows how meaning induction attributed to (...)
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  • Discovering the Sequential Structure of Thought.John R. Anderson & Jon M. Fincham - 2014 - Cognitive Science 38 (2):322-352.
    Multi-voxel pattern recognition techniques combined with Hidden Markov models can be used to discover the mental states that people go through in performing a task. The combined method identifies both the mental states and how their durations vary with experimental conditions. We apply this method to a task where participants solve novel mathematical problems. We identify four states in the solution of these problems: Encoding, Planning, Solving, and Respond. The method allows us to interpret what participants are doing on individual (...)
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  • Integration and Reuse in Cognitive Skill Acquisition.Dario D. Salvucci - 2013 - Cognitive Science 37 (5):829-860.
    Previous accounts of cognitive skill acquisition have demonstrated how procedural knowledge can be obtained and transformed over time into skilled task performance. This article focuses on a complementary aspect of skill acquisition, namely the integration and reuse of previously known component skills. The article posits that, in addition to mechanisms that proceduralize knowledge into more efficient forms, skill acquisition requires tight integration of newly acquired knowledge and previously learned knowledge. Skill acquisition also benefits from reuse of existing knowledge across disparate (...)
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  • Set as an Instance of a Real-World Visual-Cognitive Task.Enkhbold Nyamsuren & Niels A. Taatgen - 2013 - Cognitive Science 37 (1):146-175.
    Complex problem solving is often an integration of perceptual processing and deliberate planning. But what balances these two processes, and how do novices differ from experts? We investigate the interplay between these two in the game of SET. This article investigates how people combine bottom-up visual processes and top-down planning to succeed in this game. Using combinatorial and mixed-effect regression analysis of eye-movement protocols and a cognitive model of a human player, we show that SET players deploy both bottom-up and (...)
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  • Dynamic Mechanistic Explanation: Computational Modeling of Circadian Rhythms as an Exemplar for Cognitive Science.William Bechtel & Adele Abrahamsen - 2010 - Studies in History and Philosophy of Science Part A 41 (3):321-333.
    Two widely accepted assumptions within cognitive science are that (1) the goal is to understand the mechanisms responsible for cognitive performances and (2) computational modeling is a major tool for understanding these mechanisms. The particular approaches to computational modeling adopted in cognitive science, moreover, have significantly affected the way in which cognitive mechanisms are understood. Unable to employ some of the more common methods for conducting research on mechanisms, cognitive scientists’ guiding ideas about mechanism have developed in conjunction with their (...)
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  • Episodes, Events, and Models.Sangeet S. Khemlani, Anthony M. Harrison & J. Gregory Trafton - 2015 - Frontiers in Human Neuroscience 9.
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  • Neural Computation and the Computational Theory of Cognition.Gualtiero Piccinini & Sonya Bahar - 2013 - Cognitive Science 37 (3):453-488.
    We begin by distinguishing computationalism from a number of other theses that are sometimes conflated with it. We also distinguish between several important kinds of computation: computation in a generic sense, digital computation, and analog computation. Then, we defend a weak version of computationalism—neural processes are computations in the generic sense. After that, we reject on empirical grounds the common assimilation of neural computation to either analog or digital computation, concluding that neural computation is sui generis. Analog computation requires continuous (...)
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  • Extending Cognitive Architectures with Mental Imagery.Scott D. Lathrop & John E. Laird - 2009 - In B. Goertzel, P. Hitzler & M. Hutter (eds.), Proceedings of the Second Conference on Artificial General Intelligence. Atlantis Press.
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  • Mentalizing in Games: A Subtractive Behavioral Study of Prisoner's Dilemma.Antonio Napoli & Danilo Fum - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 338--343.
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  • Modeling Triple-Tasking Without Customized Cognitive Control.Jelmer P. Borst, Niels A. Taatgen & Hedderik Van Rijn - 2009 - In N. A. Taatgen & H. van Rijn (eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society.
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  • The Locus of the Gratton Effect in Picture–Word Interference.Leendert van Maanen & Hedderik van Rijn - 2010 - Topics in Cognitive Science 2 (1):168-180.
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  • From Modeler-Free Individual Data Fitting to 3-D Parametric Prediction Landscapes: A Research Expedition.Sue E. Kase, Frank E. Ritter & Michael Schoelles - 2008 - In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1398--1403.
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  • What Levels of Explanation in the Behavioural Sciences?Giuseppe Boccignone & Roberto Cordeschi (eds.) - 2015 - Frontiers Media SA.
    Complex systems are to be seen as typically having multiple levels of organization. For instance, in the behavioural and cognitive sciences, there has been a long lasting trend, promoted by the seminal work of David Marr, putting focus on three distinct levels of analysis: the computational level, accounting for the What and Why issues, the algorithmic and the implementational levels specifying the How problem. However, the tremendous developments in neuroscience knowledge about processes at different scales of organization together with the (...)
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  • A Perceptual Account of Symbolic Reasoning.David Landy, Colin Allen & Carlos Zednik - 2014 - Frontiers in Psychology 5.
    People can be taught to manipulate symbols according to formal mathematical and logical rules. Cognitive scientists have traditionally viewed this capacity—the capacity for symbolic reasoning—as grounded in the ability to internally represent numbers, logical relationships, and mathematical rules in an abstract, amodal fashion. We present an alternative view, portraying symbolic reasoning as a special kind of embodied reasoning in which arithmetic and logical formulae, externally represented as notations, serve as targets for powerful perceptual and sensorimotor systems. Although symbolic reasoning often (...)
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  • Expert Interpretation of Bar and Line Graphs: The Role of Graphicacy in Reducing the Effect of Graph Format.David Peebles & Nadia Ali - 2015 - Frontiers in Psychology 6.
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  • Theory, the Final Frontier? A Corpus-Based Analysis of the Role of Theory in Psychological Articles.Sieghard Beller & Andrea Bender - 2017 - Frontiers in Psychology 8.
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  • An Architecturally Constrained Model of Random Number Generation and its Application to Modeling the Effect of Generation Rate.Nicholas J. Sexton & Richard P. Cooper - 2014 - Frontiers in Psychology 5.
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  • Why Cognitive Science Needs Philosophy and Vice Versa.Paul Thagard - 2009 - Topics in Cognitive Science 1 (2):237-254.
    Contrary to common views that philosophy is extraneous to cognitive science, this paper argues that philosophy has a crucial role to play in cognitive science with respect to generality and normativity. General questions include the nature of theories and explanations, the role of computer simulation in cognitive theorizing, and the relations among the different fields of cognitive science. Normative questions include whether human thinking should be Bayesian, whether decision making should maximize expected utility, and how norms should be established. These (...)
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  • Thought Experiments Considered Harmful.Paul Thagard - 2014 - Perspectives on Science 22 (2):122-139.
    Thought experiments have been influential in philosophy at least since Plato, and they have contributed to science at least since Galileo. Some of this influence is appropriate, because thought experiments can have legitimate roles in generating and clarifying hypotheses, as well as in identifying problems in competing hypotheses. I will argue, however, that philosophers have often overestimated the significance of thought experiments by supposing that they can provide evidence that supports the acceptance of beliefs. Accepting hypotheses merely on the basis (...)
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  • How Brains Make Mental Models.Paul Thagard - 2010 - In W. Carnielli L. Magnani (ed.), Model-Based Reasoning in Science and Technology. pp. 447--461.
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  • The Self as a System of Multilevel Interacting Mechanisms.Paul Thagard - 2012 - Philosophical Psychology (2):1-19.
    This paper proposes an account of the self as a multilevel system consisting of social, individual, neural, and molecular mechanisms. It argues that the functioning of the self depends on causal relations between mechanisms operating at different levels. In place of reductionist and holistic approaches to cognitive science, I advocate a method of multilevel interacting mechanisms. This method is illustrated by showing how self-concepts operate at several different levels.
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