Buch, Englisch, 132 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Rapids Series in Computer Engineering and Information Science and Technology
Buch, Englisch, 132 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: River Publishers Rapids Series in Computer Engineering and Information Science and Technology
ISBN: 978-87-438-1043-8
Verlag: River Publishers
Mind, Model and Complexity is a compelling and accessible exploration of how complexity science is transforming our understanding of the human mind. Bridging cognitive science, philosophy, and computation, this book invites readers to rethink intelligence, consciousness, and language through the lens of dynamic, adaptive systems. Designed for students, researchers, and intellectually curious readers, it offers a clear guide to the theoretical and practical foundations of modern mind science.
Beginning with the historical roots of cognitive theory, the book traces the evolution from early mechanistic views to information-processing models and the rise of the computational metaphor. From there, it explores how ideas such as emergence, self-organization, and nonlinearity challenge traditional reductionist approaches. Drawing on dynamical systems theory, network science, and algorithmic complexity, the text reveals how complex interactions give rise to thought, perception, and meaning.
A defining strength of Mind, Model and Complexity is its seamless integration of formal modeling with philosophical insight. Readers are introduced to powerful computational tools—including neural networks and genetic algorithms—and shown how they illuminate learning, perception, and language acquisition. At the same time, the book critically examines the limits of these models, emphasizing the vital roles of embodiment, environment, and context in shaping cognition.
The book also connects complexity science to pressing contemporary questions. It examines how complex systems perspectives deepen our understanding of mental health, decision-making, and social behavior, revealing how individual minds are embedded within larger cultural and biological networks.
By weaving together history, theory, and practice, Mind, Model and Complexity offers a rich and integrated vision of the mind as an evolving system rather than a static machine. Engaging, rigorous, and forward-looking, it challenges readers to see cognition not as a set of isolated processes, but as an emergent phenomenon shaped by interaction, adaptation, and change.
Zielgruppe
Academic, Postgraduate, and Professional Practice & Development
Autoren/Hrsg.
Weitere Infos & Material
Chapter 1: From Clockwork to Computation: A Historical Trajectory Chapter 2: Philosophical Foundations of Mind and Complexity Chapter 3: Formal Frameworks: Dynamics, Networks, and Algorithms Chapter 4: Complex Minds in Context: Applications and Implications Chapter 5: Emergent Horizons: Integrating Complexity and Cognition Appendix A. Mathematical Preliminaries Appendix B. Computational Recipes in Python
