This book explores groundbreaking scientific perspectives on mind and brain, challenging traditional models that view cognition solely through the lens of computation. Featuring contributions from leading thinkers across behavioral sciences, cognitive sciences, philosophy of mind, psychology, and neurosciences, it highlights innovative approaches that emphasize the dynamic interplay of perception, action, and adaptation in an ever-changing world. Readers will discover cutting-edge research on how brains, bodies, and environments are interconnected, and how this interconnectedness drives organismal adaptability, creativity, and resilience. From the role of embodied cognition to the importance of social and environmental contexts, this book offers a comprehensive survey of emerging theories that redefine how we understand mind and behavior. Accessible yet thought-provoking, this volume is essential for those curious about how modern science is reshaping our understanding of cognition, from researchers and students to readers seeking fresh insights into how we navigate our complex, dynamic world.
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Verlagsort
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Worked examples or Exercises
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ISBN-13
978-1-009-62624-8 (9781009626248)
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Schweitzer Klassifikation
Damian G. Kelty-Stephen is an Assistant Professor at the Psychology Department at the State University of New York at New Paltz. He has previously worked as a research scientist at Harvard Medical School's Wyss Institute for Biologically Inspired Engineering, and as a faculty member in the Psychology Department at Grinnell College. Damien's research interests include perception-action relationships, embodied/embedded cognition, and the nonlinear dynamics that link them together. Madhur Mangalam is an Assistant Professor of the Department of Biomechanics at the University of Nebraska at Omaha.
Herausgeber*in
State University of New York, New Paltz
University of Nebraska, Omaha
1. Computer metaphors alone cannot do the job Damian G. Kelty-Stephen and Madhur Mangalam; 2. Knitting together the mind, brain, and behavior with Turing's cascade instability Damian G. Kelty-Stephen and Madhur Mangalam; 3. The brain is a control system Paul Cisek; 4. Dissipative structures as an alternative to the machine metaphor of mind and brain Benjamin De Bari and James Dixon; 5. Understanding brains and minds on their own terms Luis H. Favela; 6. Radical embodied computation: emergence of meaning through the reproduction of similarity by analogy Fred Hasselman; 7. Tunnel vision on a tunnel mind: a critique and a way out Fred Keijzer; 8. Resonances in the brain Vicente Raja; 9. The brain as a fractal antenna Jeffrey B. Wagman and Brandon J. Thomas; 10. The mountain and valleys of the brain: a way to abandon the simplicity and pragmatism of the brain-as-a-computer metaphor Matheus M. Pacheco; 11. The emergence of mind in CNS processes Mark H. Bickhard; 12. Computers as brains: A Robot's Tale Tamara Lorenz; 13. From many, one: the eusocial colony as a metaphor for socially, temporally, and physically situated cognition Megan Chiovaro and Alexandra Paxton; 14. Towards a metaphor that does right by mind Joanna Raczaszek-Leonardi; 15. Language, meaning, and the foundations of scientific practice: rethinking the computer metaphor of mind and brain Sebastian Wallot and Moritz Bammel.