ADAM: adaptive autonomous machine

Author

Van Oosten, Daan C. ; Nijenhuis, L.F.J. ; Bakkers, Dré W P ; Vervoort, Wiek A.

Author_Institution

Dutch Open Univ., Heerlen, Netherlands

fYear

1996

fDate

9-11 Oct 1996

Firstpage

143

Lastpage

150

Abstract

This paper describes a part of the development of an adaptive autonomous machine that is able to move in an unknown world extract knowledge out of the perceived data, has the possibility to reason, and finally has the capability to exchange experiences and knowledge with other agents. The agent is not pre-programmed by its designer but was given simple rules of life, i.e. what is good and what is bad. By evaluating its sensor inputs these rules of life were transformed into a rule based reactive system. Simulations of the system showed that the agent is able to learn by its own experience. By representing the learned knowledge in an appropriate way, the acquired knowledge could be judged on its effectiveness and also this knowledge could be shared with other, less experienced agents

Keywords

adaptive control; knowledge acquisition; mobile robots; ADAM; adaptive autonomous machine; knowledge extraction; rule-based reactive system; Actuators; Artificial intelligence; Data mining; Electronic mail; Filters; Humans; Informatics; Laboratories; Robot sensing systems; Sensor systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Mobile Robot, 1996., Proceedings of the First Euromicro Workshop on

Conference_Location

Kaiserslautern

Print_ISBN

0-8186-7695-7

Type

conf

DOI

10.1109/EURBOT.1996.551893

Filename

551893