Integrating Models and Behaviours in Autonomous Agents: Some Lessons Learned on Action Control

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ConferenceProceedings of the AAAI Spring Symposium on Lessons Learned from Implemented Software Architectures for Physical Agents, March 27-29, 1995., Stanford University, California, USA
AbstractThis paper describes an architecture for controlling autonomous agents, building on previous work addressing reactive and deliberative control methods. The proposed multi-layered architecture allows a resource-bounded, goal-directed agent to reason predicatively about potential conflicts by constructing causal theories which explain other agents' observed behaviours and hypothesize their goals and intentions; at the same time it enables the agent to operate autonomously and to react promptly to changes in its real-time physical environment. A number of criteria which influenced the design and implementation of the architecture, in particular its action control component, are also discussed.
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AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number38340
NPARC number8913544
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Record identifierec72c0fe-79da-4a41-a6e2-a65bf09dcb95
Record created2009-04-22
Record modified2016-05-09
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