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Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between N 2005 Edition
Contributor(s): Mira, José (Editor), Álvarez, José R. (Editor)
ISBN: 3540263195     ISBN-13: 9783540263197
Publisher: Springer
OUR PRICE:   $104.49  
Product Type: Paperback - Other Formats
Published: June 2005
Qty:
Additional Information
BISAC Categories:
- Computers | Computer Science
- Computers | Computer Graphics
- Computers | Computer Vision & Pattern Recognition
Dewey: 612.822
Series: Lecture Notes in Computer Science
Physical Information: 1.33" H x 6.14" W x 9.21" (2.02 lbs) 638 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
The computational paradigm considered here is a conceptual, theoretical and formal framework situated above machines and living creatures (two instant- tions), su?ciently solid, and still non-exclusive, that allows us: 1. tohelpneuroscientiststoformulateintentions, questions, experiments, me- ods and explanation mechanisms assuming that neural circuits are the p- chological support of calculus; 2. to help scientists and engineers from the elds of arti?cial intelligence (AI) and knowledge engineering (KE) to model, formalize and program the c- putable part of human knowledge; 3. to establish an interaction framework between natural system computation (NSC) and arti?cial system computation (ASC) in both directions, from ASC to NSC (in computational neuroscience), and from NSC to ASC (in bioinspired computation). With these global purposes, we organized IWINAC 2005, the 1st International Work Conference on the Interplay Between Natural and Arti?cial Computation, whichtookplaceinLasPalmasdeGranCanaria, CanaryIslands(Spain), during June 15-18, 2005, trying to contribute to both directions of the interplay: I: From Arti?cial to Natural Computation. What can computation, arti?cial intelligence (AI) and knowledge engineering (KE) contribute to the und- standing of the nervous system, cognitive processes and social behavior? This is the scope of computational neuroscience and cognition, which uses the computational paradigm to model and improve our understanding of natural science.