Advancing artificial intelligence through biological process applications [electronic resource] / Ana B. Porto Pazos, Alejandro Pazos Sierra and Washington Buno Buceta, editors
Material type:
TextPublication details: Hershey, Pa. : Medical Information Science Reference, c2009ISBN: - 9781599049977 (electronic book)
- 9781599049960
| Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
E-book
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UMPLIB GAMBANG | R859.7.A78 A38 2009 (Browse shelf(Opens below)) | 1 | Not for loan | 0000049270 |
Includes bibliographical references and index
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 dendric spikes: a mechanism for parallel processing in dendritic subunits and shifting output codes -- 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 -- Genetic algorithms and multimodal search -- Bimolecular 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
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
Electronic reproduction. Farmington Hills, Mi : Gale. Available via World Wide Web
Original: xxii, 436 p. : ill.
Mode of access: Internet