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AAAI
1990
13 years 5 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 4 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...
DAGSTUHL
2001
13 years 5 months ago
Execution-Time Plan Management for a Cognitive Orthotic System
In this paper we discuss our work on plan management in the Autominder cognitive orthotic system. Autominder is being designed as part of an initiative on the development of roboti...
Martha E. Pollack, Colleen E. McCarthy, Sailesh Ra...
ATAL
2005
Springer
13 years 10 months ago
Controlling teams of uninhabited air vehicles
We describe a Multi-Agent System (MAS) for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts...
Jeremy W. Baxter, Graham S. Horn
ROMAN
2007
IEEE
173views Robotics» more  ROMAN 2007»
13 years 10 months ago
Situation-Aware Interpretation, Planning and Execution of User Commands by Autonomous Robots
— For a robot to be able to first understand and then achieve a human’s goals, it must be able to reason about a) the context of the current situation (with respect to which i...
Michael Brenner