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ACSC
2009
IEEE
13 years 11 months ago
HOPPER: a hierarchical planning agent for unpredictable domains
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been successfully applied to many complex, real-world domains. However, they are limited t...
Maciej Wojnar, Peter Andreae
AAAI
1998
13 years 5 months ago
Hybrid Planning for Partially Hierarchical Domains
Hierarchical task network and action-based planning approaches have traditionally been studied separately. In many domains, human expertise in the form of hierarchical reduction s...
Subbarao Kambhampati, Amol Dattatraya Mali, Biplav...
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
ATAL
2000
Springer
13 years 9 months ago
Performance of Coordinating Concurrent Hierarchical Planning Agents Using Summary Information
Abstract. Recent research has provided methods for coordinating the individually formed concurrent hierarchical plans (CHiPs) of a group of agents in a shared environment. A reason...
Bradley J. Clement, Edmund H. Durfee
IJCAI
2003
13 years 6 months ago
A Formalization of Equilibria for Multiagent Planning
Planning has traditionally focused on single agent systems. Although planning domain languages have been extended to multiagent domains, solution concepts have not. Previous solut...
Michael H. Bowling, Rune M. Jensen, Manuela M. Vel...