Advancing Artificial Intelligence through Biological Process Applications, 1st Edition

  • Published By:
  • ISBN-10: 159904997X
  • ISBN-13: 9781599049977
  • DDC: 610.28563
  • Grade Level Range: College Freshman - College Senior
  • 460 Pages | eBook
  • Original Copyright 2008 | Published/Released October 2008
  • This publication's content originally published in print form: 2008

  • Price:  Sign in for price



Presents recent advancements in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describes the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology.

Table of Contents

Front Cover.
Title Page.
Copyright Page.
Table of Contents.
Detailed 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.
Neural Mechanisms of Leg Motor Control in Crayfish: Insights for Neurobiologically-Inspired Autonomous Systems.
Forward Dendritic Spikes: A Mechanism for Parallel Processing in Dendritic Subunits and Shifting Output Codes.
New Biologically Inspired Artificial Intelligence Models.
Spiking Neural P Systems: An Overview.
Simulation of the Action Potential in the Neuron's Membrane in Artificial Neural Networks.
Recent Methodology in Connectionist Systems.
A Biologically Inspired Autonomous Robot Control Based On Behavioural Coordination in Evolutionary Robotics.
An Approach to Artificial Concept Learning Based on Human Concept Learning by Using Artificial Neural Networks.
Artificial Cell Systems Based in Gene Expression Protein Effects.
Computing vs. Genetics.
Artificial Mind for Virtual Characters.
A General Rhythmic Pattern Generation Architecture for Legged Locomotion.
Real-Life Applications with Biologically Inspired Models.
Genetic Algorithms and Multimodal Search.
Biomolecular Computing Devices in Synthetic Biology.
Guiding Self-Organization in Systems of Cooperative Mobile Agents.
Evaluating a Bio-Inspired Approach for the Design of a Grid Information System: The SO-Grid Portal.
Graph Based Evolutionary Algorithms.
Dynamics of Neural Networks as Nonlinear Systems with Several Equilibria.
A Genetic Algorithm-Artificial Neural Network Method for the Prediction of Longitudinal Dispersion Coefficient in Rivers.
The Exposition of Fuzzy Decision Trees and Their Application in Biology.
Compilation of References.
About the Contributors.