An agent architecture for long-term robustness

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An agent architecture for long-term robustness

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International Conference on Autonomous Agents archive
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3 table of contents

Bologna, Italy

SESSION: Session 10B: philosophical foundations table of contents

Pages: 1149 - 1156

Year of Publication: 2002

ISBN:1-58113-480-0

Authors

John R. Rose	University of South Carolina, Columbia, SC
Michael N. Huhns	University of South Carolina, Columbia, SC
Soumik Sinha Roy	University of South Carolina, Columbia, SC
William H. Turkett, Jr.	University of South Carolina, Columbia, SC

Sponsors

ACM: Association for Computing Machinery
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

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Downloads (6 Weeks): 5, Downloads (12 Months): 23, Citation Count: 1

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ABSTRACT

This paper describes an architecture for enabling robust autonomous decision making and task execution. A key feature of the architecture is that agent behavior is constrained by sets of agent societal laws similar to Asimov's laws of robotics. In accordance with embedded philosophical principles, agents use decision theory in their negotiations to evaluate the expected utility of proposed actions and use of resources. This results in planning and task execution that is dynamic, rational, distributed, occurs at multiple levels of granularity, and can be trusted. We report on our initial investigations of agent architectures that embody philosophical and social layers. Our investigations have included the effect of misinformation among cooperative agents in worth-oriented domains, and active countermeasures for dealing with the misinformation. We examine the agents" use of philosophical principles for mission preeminence and rational progress towards goals.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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