Knowledge extraction using neural network by an artificial life approach

Yuji Makita, Masafumi Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A novel knowledge extraction method from autonomous behavior of multiple mobile robots by an artificial life approach is proposed in this paper. The knowledge is expressed by if-then rules and we employ a neural network for the knowledge extraction. The proposed method has the following features: 1)The structure of knowledge extraction neural network and the learning algorithm are simple; 2)Understanding and modification of the extracted knowledge are easy because weights in the knowledge extraction network directly represent the antecedents and the consequents of the if-then rules; 3)The network itself has an ability of inference using the extracted knowledge. We used a lot of autonomous mobile robots in various environments. Each robot has to avoid the obstacles to get to the goal and the local behavior is extracted and integrated in the knowledge extraction neural network as global knowledge. We confirmed the validity of the proposed method by computer simulations.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages177-186
Number of pages10
Volume1285
ISBN (Print)3540633995, 9783540633990
Publication statusPublished - 1997
Event1st Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1996 - Taejon, Korea, Republic of
Duration: 1996 Nov 91996 Nov 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1285
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other1st Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1996
CountryKorea, Republic of
CityTaejon
Period96/11/996/11/12

Fingerprint

Knowledge Extraction
Artificial Life
Neural Networks
Neural networks
Mobile robots
Autonomous Mobile Robot
Mobile Robot
Learning algorithms
Learning Algorithm
Computer Simulation
Robot
Robots
Knowledge
Computer simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Makita, Y., & Hagiwara, M. (1997). Knowledge extraction using neural network by an artificial life approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1285, pp. 177-186). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1285). Springer Verlag.

Knowledge extraction using neural network by an artificial life approach. / Makita, Yuji; Hagiwara, Masafumi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1285 Springer Verlag, 1997. p. 177-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1285).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Makita, Y & Hagiwara, M 1997, Knowledge extraction using neural network by an artificial life approach. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1285, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1285, Springer Verlag, pp. 177-186, 1st Asia-Pacific Conference on Simulated Evolution and Learning, SEAL 1996, Taejon, Korea, Republic of, 96/11/9.
Makita Y, Hagiwara M. Knowledge extraction using neural network by an artificial life approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1285. Springer Verlag. 1997. p. 177-186. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Makita, Yuji ; Hagiwara, Masafumi. / Knowledge extraction using neural network by an artificial life approach. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1285 Springer Verlag, 1997. pp. 177-186 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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