Chapter: Neuronal Dynamics and Evolutionary Learning

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Home > Advances in Cognitive Science: Steps Toward Convergence > Neuronal Dynamics and Evolutionary Learning

Advances in Cognitive Science: Steps Toward Convergence |

Manfred Kochen

Routledge

Advances in Cognitive Science: Steps Toward Convergence

Neuronal Dynamics and Evolutionary Learning

Chapter Info

Authors

Michael Conrad; Roberto R. Kampfner; Kevin G. Kirby

ARI Id

1665616198403_13203489

Access

Not Available Free

Pages

169-189

DOI

10.1201/9780429044113-11

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Chapters/Headings	Author(s)	Pages	Info
Introduction	Manfred Kochen; Harold M. Hastings	1-6
Is Decision Theory a Branch of Biology?	William S. Cooper	7-25
Evolutionary Computing by Dynamics in Living Organisms	F. Eugene Yates	26-49
Selective Networks and Recognition Automata	George N. Reeke; Gerald M. Edelman	50-71
Biologically Motivated Machine Intelligence	Harold M. Hastings; Stefan Waner	72-77
Concurrent Computation and Models of Biological Information Processing	Howard L. Resnikoff	78-99
Evolutionary Learning of Complex Modes of Information Processing	Stefan Waner; Harold M. Hastings	100-113
Genes as Bits for Nervous System Development	Ralph J. Greenspan	114-126
Dynamics of Image Formation by Nerve Cell Assemblies	Walter J. Freeman	127-149
Prolegomena to Evolutionary Programming	Michael Conrad	150-168
Neuronal Dynamics and Evolutionary Learning	Michael Conrad; Roberto R. Kampfner; Kevin G. Kirby	169-189
Generalization in Evolutionary Learning with Enzymatic Neuron-based Systems	Roberto R. Kampfner	190-209
The Application of Algorithmic Probability to Problems in Artificial Intelligence	Ray J. Solomonoff	210-227
Novelty and Redundancy in Problem Solving	Robert K. Lindsay; Manfred Kochen	228-240
Order and Disorder in Knowledge Structures	Manfred Kochen	241-271
Conclusion	Harold M. Hastings; Manfred Kochen	272-278
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