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...
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...
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...
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...
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...