We present a minimalistic approach to establish obstacle avoidance and course stabilization behavior of a simulated flying autonomous agent in a 3D virtual world. The agent uses visual cues, and its sensory and motor components arc based on biological principles found in flies. A simple neural network is used for coupling the receptor and effector systems of the agent. In order to achieve appropriate reactions to sensory input, the connection weights are adjusted by a genetic algorithm under a closed loop action-perception condition.
|Title of host publication||Artificial Neural Networks - ICANN 1997 - 7th International Conference, Proceeedings|
|Editors||Wulfram Gerstner, Alain Germond, Martin Hasler, Jean-Daniel Nicoud|
|Number of pages||6|
|ISBN (Print)||3540636315, 9783540636311|
|Publication status||Published - 1997|
|Event||7th International Conference on Artificial Neural Networks, ICANN 1997 - Lausanne, Switzerland|
Duration: 1997 Oct 8 → 1997 Oct 10
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Other||7th International Conference on Artificial Neural Networks, ICANN 1997|
|Period||97/10/8 → 97/10/10|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 1997.
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)