DocumentCode
2335387
Title
Development, learning and evolution in animats
Author
Kodjabachian, Jereme ; Meyer, Jean Arcady
Author_Institution
Groupe de BioInf., Ecole Normale Superieure, Paris, France
fYear
1994
fDate
7-9 Sept. 1994
Firstpage
96
Lastpage
109
Abstract
Describes the works of Boers and Kuiper (1992), Vaario (1992, 1994), Nolfi and Parisi (1991), Gruau (1992), and Dellaert and Beer (1994), which all evolve the developmental program of an artificial nervous system. The potentialities of these approaches for automatically devising a control architecture linking the perceptions and the actions of an animat are then discussed, together with their possible contributions to the fundamental issue of assessing the adaptive values of development, learning and evolution.
Keywords
genetic algorithms; intelligent control; learning systems; neural nets; robots; actions; adaptive values; animats; artificial nervous system; control architecture; developmental program; evolution; learning; perceptions; sensorimotor control; Animals; Animation; Automatic control; Bioinformatics; Electronic mail; Evolution (biology); Genetic algorithms; Nervous system; Neurons; Production;
fLanguage
English
Publisher
ieee
Conference_Titel
From Perception to Action Conference, 1994., Proceedings
Print_ISBN
0-8186-6482-7
Type
conf
DOI
10.1109/FPA.1994.636087
Filename
636087
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