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  Modeling obstacle avoidance behavior of flies using an adaptive autonomous agent

Huber, S., & Bülthoff, H. (1997). Modeling obstacle avoidance behavior of flies using an adaptive autonomous agent. In W. Gerstner, A. Germond, M. Hasler, & J.-D. Nicoud (Eds.), Artificial Neural Networks - ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997 (pp. 709-714). Berlin, Germany: Springer.

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 Creators:
Huber, S1, 2, Author              
Bülthoff, HH1, 2, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: In the course of evolution flies have developed specialized visuomotor programs for tasks like compensating for course deviations, obstacle avoidance, and tracking, which are based on the analysis of visual motion information. In order to test models of the obstacle avoidance behavior in flies, we use computer-simulated agents that evolve parts of their sensor system and sensorimotor coupling with genetic algorithms. During a simulated evolution, these agents specialize a visuomotor program that enables the agents to avoid obstacles.

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 Dates: 1997-10
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1007/BFb0020237
BibTex Citekey: 363
 Degree: -

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Title: 7th International Conference on Artificial Neural Networks (ICANN 1997)
Place of Event: Lausanne, Switzerland
Start-/End Date: 1997-10-08 - 1997-10-10

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Title: Artificial Neural Networks - ICANN'97: 7th International Conference Lausanne, Switzerland, October 8–10, 1997
Source Genre: Proceedings
 Creator(s):
Gerstner, W, Editor
Germond, A, Editor
Hasler, M, Editor
Nicoud, J-D, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 709 - 714 Identifier: ISBN: 3-540-63631-5

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Title: Lecture Notes in Computer Science b
Source Genre: Series
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Pages: - Volume / Issue: 1327 Sequence Number: - Start / End Page: - Identifier: -