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Efficient meta-level control in bounded-rational agents

Published: 14 July 2003 Publication History

Abstract

An important issue for complex agents operating in open real-time environments is how to sequence execution and computation actions without consuming too many resources. An empirical approach to this meta-level control problem is presented. We show that explicit meta-level control leads to significant improvement in agent performance.

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A. Raja and V. Lesser. Automated Meta-Level Control Reasoning in Complex Agents. UMASS Department of Computer Science Technical Report TR-03-XX, March 2003.
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S. Russell and E. Wefald. Do the right thing: studies in limited rationality. MIT press, 1992.
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Cited By

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  • (2018)The Soft Real-Time Agent Control ArchitectureAutonomous Agents and Multi-Agent Systems10.1007/s10458-005-3998-912:1(35-91)Online publication date: 26-Dec-2018
  • (2010)Intelligent computing methods in Air Traffic Flow ManagementTransportation Research Part C: Emerging Technologies10.1016/j.trc.2009.06.00418:5(781-793)Online publication date: Oct-2010
  • (2006)Using meta-level control with reinforcement learning to improve the performance of the agentsProceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery10.1007/11881599_138(1109-1112)Online publication date: 24-Sep-2006
  • Show More Cited By

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Published In

cover image ACM Conferences
AAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems
July 2003
1200 pages
ISBN:1581136838
DOI:10.1145/860575
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 July 2003

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Author Tags

  1. action selection and planning
  2. agent architectures
  3. rational agency

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AAMAS03
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Overall Acceptance Rate 1,155 of 5,036 submissions, 23%

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Cited By

View all
  • (2018)The Soft Real-Time Agent Control ArchitectureAutonomous Agents and Multi-Agent Systems10.1007/s10458-005-3998-912:1(35-91)Online publication date: 26-Dec-2018
  • (2010)Intelligent computing methods in Air Traffic Flow ManagementTransportation Research Part C: Emerging Technologies10.1016/j.trc.2009.06.00418:5(781-793)Online publication date: Oct-2010
  • (2006)Using meta-level control with reinforcement learning to improve the performance of the agentsProceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery10.1007/11881599_138(1109-1112)Online publication date: 24-Sep-2006
  • (2004)Emergence of Control in a Large-Scale Society of Economic Physical AgentsProceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 310.5555/1018411.1018900(1232-1234)Online publication date: 19-Jul-2004

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