Leading Edge Computer Science Research

Front Cover
Nova Publishers, 2006 - Computers - 242 pages
The books in this series present leading-edge research in the field of computer research, technology and applications. Each contribution has been carefully selected for inclusion based on the significance of the research to the field. Summaries of all chapters are gathered at the beginning of the book and an in-depth index is presented to facilitate access.
 

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Contents

MultiChannel Parallel Adaptation Theory for Rule Discovery
1
Foundations of the Neural Network Assembly Memory Model
21
An Abstract Programming System
85
Cooperate or Compete A Simple Agent Model for Iterated Arbitrary 2Player Games
131
Selection of Future Events from a Time Series in Relation to Estimations of Forecasting Uncertainty
147
Biology Physics Small Worlds and Genetic Algorithms
165
Generators of Algebraic Covariant Derivative Curvature Tensors and Young Symmetrizers
219
Index
241
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