Advancing Artificial Intelligence Through Biological Process Applications 1st Edition by Ana Porto Pazos – Ebook PDF Instant Download/Delivery. 1599049961, 9781599049960
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ISBN 10: 1599049961
ISBN 13: 9781599049960
Author: Ana B. Porto Pazos
As science continues to advance, researchers are continually gaining new insights into the way living beings behave and function, and into the composition of the smallest molecules. Most of these biological processes have been imitated by many scientific disciplines with the purpose of trying to solve different problems, one of which is artificial intelligence. Advancing Artificial Intelligence through Biological Process Applications presents recent advances in the study of certain biological processes related to information processing that are applied to artificial intelligence. Describing the benefits of recently discovered and existing techniques to adaptive artificial intelligence and biology, this book will be a highly valued addition to libraries in the neuroscience, molecular biology, and behavioral science spheres.
Advancing Artificial Intelligence Through Biological Process Applications 1st Table of contents:
Section I: Recent Advances in Biological Processes Related to Information Processing
Chapter I: Corticofugal Modulation of Tactile Responses of Neurons in the Spinal Trigeminal Nucleus:
Chapter II: Neural Mechanisms of Leg Motor Control in Crayfish: Insights for Neurobiologically-Inspi
Chapter III: Forward Dendritic Spikes: A Mechanism for Parallel Processingin Dendritic Subunits and
Section II: New Biologically Inspired Artificial Intelligence Models
Chapter IV: Spiking Neural P Systems: An Overview
Chapter V: Simulation of the Action Potential in the Neuron’s Membrane in Artificial Neural Networ
Chapter VI: Recent Methodology in Connectionist Systems
Chapter VII: A Biologically Inspired Autonomous Robot Control Based on Behavioural Coordination in E
Chapter VIII: An Approach to Artificial Concept Learning Based on Human Concept Learning by Using Ar
Chapter IX: Artificial Cell Systems Based in Gene Expression Protein Effects
Chapter X: Computing vs. Genetics
Chapter XI: Artificial Mind for Virtual Characters
Chapter XII: A General Rhythmic Pattern Generation Architecture for Legged Locomotion
Section III: Real-Life Applications with Biologically Inspired Models
Chapter XIII: Genetic Algorithms and Multimodal Search
Chapter XIV: Biomolecular Computing Devices in Synthetic Biology
Chapter XV: Guiding Self-Organizationin Systems of Cooperative Mobile Agents
Chapter XVI: Evaluating a Bio-Inspired Approach for the Design of a Grid Information System: The SO-
Chapter XVII: Graph Based Evolutionary Algorithms
Chapter XVIII: Dynamics of Neural Networks as Nonlinear Systems with Several Equilibria
Chapter XIX: A Genetic Algorithm-Artificial Neural Network Method for the Prediction of Longitudinal
Chapter XX: The Exposition of Fuzzy Decision Trees and Their Application in Biology
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