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105
Voted
ACSC
2009
IEEE
15 years 5 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
15 years 9 days 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...
79
Voted
AAAI
1990
15 years 3 days 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
82
Voted
ATAL
2000
Springer
15 years 3 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
77
Voted
IJCAI
2003
15 years 9 days 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...