Buch, Englisch, 498 Seiten, Format (B × H): 159 mm x 237 mm, Gewicht: 925 g
An Embodied Approach
Buch, Englisch, 498 Seiten, Format (B × H): 159 mm x 237 mm, Gewicht: 925 g
ISBN: 978-0-08-046616-3
Verlag: Elsevier Science
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.
Zielgruppe
Professionals, researchers, and advanced students in cognitive science, psychology, and philosophy.
Autoren/Hrsg.
Weitere Infos & Material
Contents
Preface
List of Contributors
1 Directions for an Embodied Cognitive Science: Toward an Integrated Approach
Cognitivism in a Blind Alley
Alternative Approaches to Cognitivism
Post-Cognitivism in the Making: Common Ground and Conceptual Issues
Scaling up: Higher Level Cognitive Processes
Acknowledgments
Section I The Interactive Architecture of Cognition: Conceptual Issues
2 Is Embodiment Necessary?
Critiques
Interactive Representation
What Kind of Embodiment?
Conclusion
3 Embodiment and Explanation
Three Threads
The Separability Thesis
Beyond Flesh-Eating Functionalism
Ada, Adder, and Odder
A Tension Revealed
Participant Machinery and Morphological Computation
Quantifying Embodiment
Conclusions
Acknowledgments
4 Can a Swarm be Embodied?
Introduction
Three Examples of Swarms
Artifi cial Swarms and Strong Embodiment
Is a Living Swarm an Embodied Entity?
Conclusion
Section II Robotics and Autonomous Agents
5 CajunBot: A Case Study in Embodied Cognition
Introduction
CajunBot and the DARPA Grand Challenge, 2005
CajunBot Sensor Systems
Path Planning
Steering Control
Simulations
CajunBot Performance and Results
Conclusion
Acknowledgments
6 The Dynamics of Brain–Body–Environment Systems: A Status Report
Introduction
Experimental Accomplishments
Theoretical Accomplishments
Outstanding Challenges
7 The Synthetic Approach to Embodied Cognition: A Primer
Introduction
Basics
Body Dynamics and Morphology
Information Self-Structuring
Learning and Development
Case Study 1: Embodied Categorization
Case Study 2: Application of Embodied Cognition to Prosthetics
Discussion: The Interaction of Physical and Information Processes
Conclusion
8 Animate Vision, Virtual Environments, and Neural Codes
Embodied Intelligence
An Avatar Control System Design
Summary: The Advantages of Embodied Cognition
Section III Perceiving and Acting
9 Ecological Psychology: Six Principles for an Embodied–Embedded Approach to Behavior
Ecological Principle I: Organism–Environment Systems are the Proper Units of Analysis
Ecological Principle II: Environmental Realities Should Be Defined at the Ecological Scale
Ecological Principle III: Behavior Is Emergent and Self-Organized
Ecological Principle IV: Perception and Action are Continuous and Cyclic
Ecological Principle V: Information Is Specificational
Ecological Principle VI: Perception Is of Affordances
Conclusion
10 Seeing What We Can Do: Insights into Vision and Action Through Observations of Natural Behavior
Introduction
Methods of Assessing Visual Processes in Isolation and in Concert
Isolating Visual Processes Within an Embodied Context
Trade-Offs Between Gaze and Working Memory Use
Bridging the Gap Between Laboratory Experiments and Natural Behavior
Future Directions of Research in Embodied Visual Cognition
11 Why We Don’t Mind to be Inconsistent
Introduction
Detecting Attributes
