Advancing Artificial Intelligence through Biological Process Applications

by Pazos, Ana B. Porto

• ISBN13: 9781599049960
• ISBN10: 1599049961
• Edition: 1st
• Format: Hardcover
• Copyright: 2008-07-01
• Publisher: Igi Global

Summary

Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of biological processes related to artificial intelligence. Describing recently discovered and existing techniques of artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.

Table of Contents

Recent Advances in Biological Processes Related to Information Processing
Corticofugal Modulation of Tactile Responses of Neurons in the Spinal Trigeminal Nucleus: A Wavelet Coherence Study	p. 1
Neural Mechanisms of Leg Motor Control in Crayfish: Insights for Neurobiologically-Inspired Autonomous Systems	p. 20
Forward Dendric Spikes: A Mechanism for Parallel Processing in Dendritic Subunits and Shifting Output Codes	p. 42
New Biologically Inspired Artificial Intelligence Models
Spiking Neural P Systems: An Overview	p. 60
Simulation of the Action Potential in the Neuron's Membrane in Artificial Neural Networks	p. 74
Recent Methodology in Connectionist Systems	p. 94
A Biologically Inspired Autonomous Robot Control Based on Behavioural Coordination in Evolutionary Robotics	p. 107
An Approach to Artificial Concept Learning Based on Human Concept Learning by Using Artificial Neural Networks	p. 130
Artificial Cell Systems Based in Gene Expression Protein Effects	p. 146
Computing vs. Genetics	p. 165
Artificial Mind for Virtual Characters	p. 182
A General Rhythmic Pattern Generation Architecture for Legged Locomotion	p. 202
Real-Life Applications with Biologically Inspired Models
Genetic Algorithms and Multimodal Search	p. 231
Bimolecular Computing Devices in Synthetic Biology	p. 250
Guiding Self-Organization in Systems of Cooperative Mobile Agents	p. 268
Evaluating a Bio-Inspired Approach for the Design of a Grid Information System: The SO-Grid Portal	p. 291
Graph Based Evolutionary Algorithms	p. 311
Dynamics of Neural Networks as Nonlinear Systems with Several Equilibria	p. 331
A Genetic Algorithm-Artificial Neural Network Method for the Prediction of Longitudinal Dispersion Coefficient in Rivers	p. 358
The Exposition of Fuzzy Decision Trees and Their Application in Biology	p. 375
Compilation of References	p. 395
About the Contributors	p. 422
Index	p. 434
Table of Contents provided by Blackwell. All Rights Reserved.