Linearly Anticipatory Autonomous Agents

Document type: Conference Papers
Peer reviewed: Yes
Author(s): Paul Davidsson
Title: Linearly Anticipatory Autonomous Agents
Conference name: First International Conference on Autonomous Agents
Year: 1997
Pagination: 490-491
ISBN: 0897918770
Publisher: ACM
City: Marina del Ray; CA
Organization: Blekinge Institute of Technology
Department: Dept. of Computer Science and Business Administration (Institutionen för datavetenskap och ekonomi)
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+46 455 780 00
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Authors e-mail: paul.davidsson@ide.hk-r.se
Language: English
Abstract: A novel architecture for and some simulations of linear anticipatory behavior is presented. Compared to traditional planning, anticipation is a more passive way of reasoning. A linearly quasi-anticipatory agent architecture (ALQAAA) agent tries to predict what will happen if nothing unexpected occurs, whereas a planning agent actively evaluates what will happen when a number of different actions are performed. The main reason for this is that all agents in the environment are treated as being reactive. In addition, it is interesting to note the small amount of heuristic domain knowledge necessary to produce adaptive behavior.
Subject: Computer Science\Artificial Intelligence
Keywords: Artificial intelligence; Linear control systems; Adaptive control systems; Computer simulation; Computer architecture; Heuristic methods; Knowledge based systems
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