Name
Abstract | ||
|---|---|---|
This paper proposes the realization of evolutionary computation by chaotic dynamics instead of conventional GA (Genetic Algorithm) for such intelligent agents as welfare robots which assist humans. This evolutionary computation is realized by applying chaotic retrieval on associative memories. We apply this evolutionary computation to multi-agent robots which move abreast. Essentially, the process of this evolutionary computation is parallel processing. Therefore, we implement its parallel processing algorithm on A-NET (Actors NETwork) parallel object-oriented computer, and show the usefulness of parallel processing for proposed evolutionary computation. |
Year | Venue | Field |
|---|---|---|
1997 | PROGRESS IN CONNECTIONIST-BASED INFORMATION SYSTEMS, VOLS 1 AND 2 | Intelligent agent,Computer science,Artificial intelligence,Chaotic,Machine learning |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Toru Yamaguchi | 1 | 15 | 9.88 |
| Naoki Kohata | 2 | 0 | 0.34 |
| Yoshiyuki Wakamatsu | 3 | 0 | 0.34 |
| Takanobu Baba | 4 | 71 | 27.53 |