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IMPACTing SHOP: Putting an AI Planner into a Multi-Agent Environment
MARYLAND UNIV COLLEGE PARK
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In this paper we describe a formalism for integrating the SHOP HTN planning system with the IMPACT multi-agent environment. We define the A-SHOP algorithm, an agentized adaptation of the SHOP planning algorithm that takes advantage of IMPACTs capabilities for interacting with external agents, performing mixed symbolic numeric computations, and making queries to distributed, heterogeneous information sources such as arbitrary legacy andor specialized data structures or external databases. We show that A-SHOP is both sound and complete if certain conditions are met.
APPROVED FOR PUBLIC RELEASE