Presentation | 2000/1/13 Evolving Learning System Manifests Various Adaptation Mechanisms In the Dynamic Environment Kazuko Yamasaki, Masuteru Sekiguchi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Characteristics of population under the dynamic environment for the evolving learning system and the expression of various adaptation mechanisms are studied. The Sasaki showed the differences between the Darwinian and Lamarkian type population for the first time. We examine it in simple "The Continuous Function Model"in order to investigate the mechanism of the phenomenon. Then we obtain the following results and mechanisms are briefly explained. The Darwinian type population is excellent in the adaptability, when the environment discontinuously changes, and the Lamarkian type population is excellent, when the environment continuously changes. If the same environment is continuing long, the adaptation of the Darwinian population under the dynamic environment breaks. That is the fitness may dive suddenly because of overadaptation. We also examine the population with 2 chromosomes. We obtain under various type of environments various adaptation mechanisms appear and vanish. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | evolution / learning / Dynamic Environment / multi-agent |
Paper # | AI99-87 |
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Conference Information | |
Committee | AI |
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Conference Date | 2000/1/13(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evolving Learning System Manifests Various Adaptation Mechanisms In the Dynamic Environment |
Sub Title (in English) | |
Keyword(1) | evolution |
Keyword(2) | learning |
Keyword(3) | Dynamic Environment |
Keyword(4) | multi-agent |
1st Author's Name | Kazuko Yamasaki |
1st Author's Affiliation | Department of management information Tokyo university of information sciences() |
2nd Author's Name | Masuteru Sekiguchi |
2nd Author's Affiliation | Department of management information Tokyo university of information sciences |
Date | 2000/1/13 |
Paper # | AI99-87 |
Volume (vol) | vol.99 |
Number (no) | 534 |
Page | pp.pp.- |
#Pages | 8 |
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