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This volume features the complete text of the material presented at the Twenty-Fifth Annual Conference of the Cognitive Science Society. As in previous years, the symposium included an interesting mixture of papers on many topics from researchers with diverse backgrounds and different goals, presenting a multifaceted view of cognitive science. This volume includes all papers, posters, and summaries of symposia presented at the leading conference that brings cognitive scientists together. The theme of this year's conference was the social, cultural, and contextual elements of cognition, including topics on collaboration, cultural learning, distributed cognition, and interaction.
The Handbook of Cognitive Science provides an overview of recent developments in cognition research, relying upon non-classical approaches. Cognition is explained as the continuous interplay between brain, body, and environment, without relying on classical notions of computations and representation to explain cognition. The handbook serves as a valuable companion for readers interested in foundational aspects of cognitive science, and neuroscience and the philosophy of mind. The handbook begins with an introduction to embodied cognitive science, and then breaks up the chapters into separate sections on conceptual issues, formal approaches, embodiment in perception and action, embodiment from an artificial perspective, embodied meaning, and emotion and consciousness. Contributors to the book represent research overviews from around the globe including the US, UK, Spain, Germany, Switzerland, France, Sweden, and the Netherlands.
The field of strategy science has grown in both the diversity of issues it addresses and the increasingly interdisciplinary approaches it adopts in understanding the nature and significance of problems that are continuously emerging in the world of human endeavor. These newer kinds of challenges and opportunities arise in all forms of organizations, encompassing private and public enterprises, and with strategies that experiment with breaking the traditional molds and contours. The field of strategy science is also, perhaps inevitably, being impacted by the proliferation of hybrid organizations such as strategic alliances, the upsurge of approaches that go beyond the customary emphasis on competitiveness and profit making, and the intermixing of time-honored categories of activities such as business, industry, commerce, trade, government, the professions, and so on. The blurring of the boundaries between various areas and types of human activities points to a need for academic research to address the consequential developments in strategic issues. Hence, research and thinking about the nature of issues to be tackled by strategy science should also cultivate requisite variety in issues recognized for research inquiry, including the conceptual foundations of strategy and strategy making, and the examination of the critical roles of strategy makers, strategic thinking, time and temporalities, business and other goal choices, diversity in organizing modes for strategy implementation, and the complexities of managing strategy, to name a few. This book series on Research in Strategy Science aims to provide an outlet for ideas and issues that publications in the field do not provide, either expressly or adequately, especially as regards the comprehensive coverage deserved by certain emerging areas of interest. The topics of the volumes in the series will keep in view this objective to expand the research areas and theoretical approaches routinely found in strategy science, the better to permit expanded and expansive treatments of promising issues that may not sufficiently align with the usual research coverage of publications in the field. Time Issues in Strategy and Organization contains contributions by leading scholars on time issues in the field of strategy science research. The 8 chapters in this volume cover the topics of future orientation in strategy making, time conceptualizations in interorganizational relationships, real-time management in the digital economy, spatio-temporal aspect of strategic leadership, a systemic-cognitive perspective on organizational temporality, ecosystem types and the timing of open innovation strategies, and the temporalities of strategic risk behavior and partner opportunism in strategic alliances. The chapters collectively present a wide-ranging review of the noteworthy research perspectives on the temporal issues in strategy and organization.
Empirical and philosophical perspectives on scaffolding that highlight the role of temporal and temporary resources in development across concepts of culture, cognition, and evolution. "Scaffolding" is a concept that is becoming widely used across disciplines. This book investigates common threads in diverse applications of scaffolding, including theoretical biology, cognitive science, social theory, science and technology studies, and human development. Despite its widespread use, the concept of scaffolding is often given short shrift; the contributors to this volume, from a range of disciplines, offer a more fully developed analysis of scaffolding that highlights the role of temporal and temporary resources in development, broadly conceived, across concepts of culture, cognition, and evolution. The book emphasizes reproduction, repeated assembly, and entrenchment of heterogeneous relations, parts, and processes as a complement to neo-Darwinism in the developmentalist tradition of conceptualizing evolutionary change. After describing an integration of theoretical perspectives that can accommodate different levels of analysis and connect various methodologies, the book discusses multilevel organization; differences (and reciprocality) between individuals and institutions as units of analysis; and perspectives on development that span brains, careers, corporations, and cultural cycles. Contributors Colin Allen, Linnda R. Caporael, James Evans, Elihu M. Gerson, Simona Ginsburg, James R. Griesemer, Christophe Heintz, Eva Jablonka, Sanjay Joshi, Shu-Chen Li, Pamela Lyon, Sergio F. Martinez, Christopher J. May, Johann Peter Murmann, Stuart A. Newman, Jeffrey C. Schank, Iddo Tavory, Georg Theiner, Barbara Hoeberg Wimsatt, William C. Wimsatt
What are the processes, from conception to adulthood, that enable a single cell to grow into a sentient adult? The processes that occur along the way are so complex that any attempt to understand development necessitates a multi-disciplinary approach, integrating data from cognitive studies, computational work, and neuroimaging - an approach till now seldom taken in the study of child development. Neuroconstructivism is a major new 2 volume publication that seeks to redress this balance, presenting an integrative new framework for considering development. In the first volume, the authors review up-to-to date findings from neurobiology, brain imaging, child development, computer and robotic modelling to consider why children's thinking develops the way it does. They propose a new synthesis of development that is based on 5 key principles found to operate at many levels of descriptions. They use these principles to explain what causes a number of key developmental phenomena, including infants' interacting with objects, early social cognitive interactions, and the causes of dyslexia. The "neuroconstructivist" framework also shows how developmental disorders do not arise from selective damage to the normal cognitive system, but instead arise from developmental processes that operate under atypical constraints. How these principles work is illustrated in several case studies ranging from perceptual to social and reading development. Finally, the authors use neuroimaging, behavioural analyses, computational simulations and robotic models to provide a way of understanding the mechanisms and processes that cause development to occur.
Anyone involved in science education will find that this text can enhance their pedagogical practice. It describes new, model-based teaching methods that integrate social and cognitive perspectives for science instruction. It presents research that describes how these new methods are applied in a diverse group of settings, including middle school biology, high school physics, and college chemistry classrooms. They offer practical tips for teaching the toughest of key concepts.
The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that the cognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order to produce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvesting the results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among current approaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors. Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, Michael S. Landy, A. Hornof, Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne
Philosophers and cognitive scientists reassess systematicity in the post-connectionist era, offering perspectives from ecological psychology, embodied and distributed cognition, enactivism, and other methodologies. In 1988, Jerry Fodor and Zenon Pylyshyn challenged connectionist theorists to explain the systematicity of cognition. In a highly influential critical analysis of connectionism, they argued that connectionist explanations, at best, can only inform us about details of the neural substrate; explanations at the cognitive level must be classical insofar as adult human cognition is essentially systematic. More than twenty-five years later, however, conflicting explanations of cognition do not divide along classicist-connectionist lines, but oppose cognitivism (both classicist and connectionist) with a range of other methodologies, including distributed and embodied cognition, ecological psychology, enactivism, adaptive behavior, and biologically based neural network theory. This volume reassesses Fodor and Pylyshyn's “systematicity challenge” for a post-connectionist era. The contributors consider such questions as how post-connectionist approaches meet Fodor and Pylyshyn's conceptual challenges; whether there is empirical evidence for or against the systematicity of thought; and how the systematicity of human thought relates to behavior. The chapters offer a representative sample and an overview of the most important recent developments in the systematicity debate. Contributors Ken Aizawa, William Bechtel, Gideon Borensztajn, Paco Calvo, Anthony Chemero, Jonathan D. Cohen, Alicia Coram, Jeffrey L. Elman, Stefan L. Frank, Antoni Gomila, Seth A. Herd, Trent Kriete, Christian J. Lebiere, Lorena Lobo, Edouard Machery, Gary Marcus, Emma Martín, Fernando Martínez-Manrique, Brian P. McLaughlin, Randall C. O'Reilly, Alex A. Petrov, Steven Phillips, William Ramsey, Michael Silberstein, John Symons, David Travieso, William H. Wilson, Willem Zuidema
A cutting-edge reference source for the interdisciplinary field of computational cognitive modeling.