This book includes a collection of papers on both natural (biological) and artificial (computer) approaches to several facets of intelligent behavior from the primary viewpoint of the convergence of computer science and biology in the theory of cognitive science. .
Table of Contents
About the Series -- Introduction -- Is Decision Theory a Branch of Biology? -- Evolutionary Computing by Dynamics in Living Organisms -- Selective Networks and Recognition Automata -- Biologically Motivated Machine Intelligence -- Concurrent Computation and Models of Biological Information Processing -- Evolutionary Learning of Complex Modes of Information Processing -- Genes as Bits for Nervous System Development -- Dynamics of Image Formation by Nerve Cell Assemblies -- Prolegomena to Evolutionary Programming -- Neuronal Dynamics and Evolutionary Learning -- Generalization in Evolutionary Learning with Enzymatic Neuron-based Systems -- The Application of Algorithmic Probability to Problems in Artificial Intelligence -- Novelty and Redundancy in Problem Solving -- Order and Disorder in Knowledge Structures -- Conclusion