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» Plan Generation and Plan Execution in Agent Programming
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AAAI
1990
13 years 8 months ago
Integrating, Execution, Planning, and Learning in Soar for External Environments
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
John E. Laird, Paul S. Rosenbloom
JIRS
2000
144views more  JIRS 2000»
13 years 7 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
ATAL
1999
Springer
13 years 12 months ago
Reactivity in a Logic-Based Robot Programming Framework
A robot must often react to events in its environment and exceptional conditions by suspendingor abandoning its current plan and selecting a new plan that is an appropriate respons...
Yves Lespérance, Kenneth Tam, Michael R. M....
ATAL
2006
Springer
13 years 11 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
FLAIRS
2003
13 years 9 months ago
Towards Motivation-based Plan Evaluation
AI planning systems tend to be disembodied and are not situated within the environment for which plans are generated, thus losing information concerning the interaction between th...
Alexandra M. Coddington, Michael Luck