Computing with Biological Metaphors
Published on 13. October 1994
Book
Hardback
504 pages
978-0-412-54470-5 (ISBN)
Description
This book aims to highlight the way links between the biosciences and computing are being established, and the benefits that can come from this research. The book is divided into four sections dealing with cellular, tissue, evolutionary and ecological computation, and emphasizes the transfer of ideas between disciplines. This book should be of interest to post-graduates, academic researchers in computer science, cognitive science, psychology, neuroscience, engineering, biology.
This book aims to highlight the way links between the biosciences and computing are being established, and the benefits that can come from this research. The book is divided into four sections dealing with cellular, tissue, evolutionary and ecological computation, and emphasizes the transfer of ideas between disciplines. This book should be of interest to post-graduates, academic researchers in computer science, cognitive science, psychology, neuroscience, engineering, biology.
This book aims to highlight the way links between the biosciences and computing are being established, and the benefits that can come from this research. The book is divided into four sections dealing with cellular, tissue, evolutionary and ecological computation, and emphasizes the transfer of ideas between disciplines. This book should be of interest to post-graduates, academic researchers in computer science, cognitive science, psychology, neuroscience, engineering, biology.
More details
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 246 mm
Width: 189 mm
ISBN-13
978-0-412-54470-5 (9780412544705)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
Part 1 Cells: From VSLI through machine models to cellular metabolism, Mike Holcombe; developing a logical tool to analyze biological regulatory networks, Rene Thomas and Denis Thieffrey; the computational machinery of the living cell, Rickey Welch; enzymes, automata and artificial cells, Pedro Marijuan; the molecular computer, Chris Winter; computing dendritic growth, Patrick Hmailton. Part 2 Tissues: the brain as a metaphor for sixth generation computing, Michael Arbib; hierarchical search using chemical transmitters in self-organizing pattern recognition architectures, Gail A. Carpenter and Stephen Grossberg; fluid neural networks as a model of intelligent biological systems, Frank T. Vertosick; the immune learning mechanisms - reinforcement, recruitment and their applications, Hughes Bersini and Francisco J. Varela; artificial tissue models, Richard Stark; streaming organizations - the tissue automat, Gershom Zajicek. Part 4 Genetics: evolutionary algorithms - comparison of approaches, Thomas Baeck; artificial evolution and the paradox of sex, Rob Collins; both Wrightian and "parasite" peak shifts enhance genetic algorithm performance in the travelling salesman problem, Brian Sumida and W.D. Hamilton; evolution of emergent co-operative behaviour using genetic programming, John Koza; an evolutionary approach to designing neural networks, Aviv Bergman. Part 5 Ecology: free the spirit of evolutionary computing - the ecological genetic algorithm approach, Yuval Davidor; the ecology of computation, Bernardo A. Huberman; an ecological analysis of a system for detecting nods of the head, Ian Horswill; socio-ecological metaphors and autonomous agents, Geof Staniford. Part 6 Theoretical and conceptual issues: the importance of selectionist systems for cognition, Bernard Manderick; life-like computing beyond the machine metaphor, George Kampis; nature's machine - mimesis, the analog computer and the rhetoric of technology, James Nyce. Conclusion: computing with biological metaphors - some conceptual issues, Ray Paton.