Year: 2002
Type: preprint
Abstract: In this paper we consider three different kinds of domain-dependent control knowledge (temporal, procedural and HTN-based) that are useful in planning. Our approach is declarative and relies on the language of logic programming with answer set semantics (AnsProlog*). AnsProlog* is designed to plan without control knowledge. We show how temporal, procedural and HTN-based control knowledge can be incorporated into AnsProlog* by the modular addition of a small number of domain-dependent rules, without the need to modify the planner. We formally prove the correctness of our planner, both in the absence and presence of the control knowledge. Finally, we perform some initial experimentation that demonstrates the potential reduction in planning time that can be achieved when procedural domain knowledge is used to solve planning problems with large plan length.
Source: arXiv (Cornell University)
Authors: Son, Tran Cao, Baral, Chitta, Tran, Nam, McIlraith, Sheila
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Awards: ENVIRONMENTAL MONITORING FOR SITUATION ASSESSMENT USING MOBILE & FIXED SENSORS, Reasoning and Plannning with Sensing Actions and Their Applications, AGENT DEVELOPMENT & CONTROL VERIFICATION USING DUA L CHARACTERIZATION, MII: Frameworks for the Development of Efficient and Scalable Knowledge-based Systems
OpenAlex ID: W4394664710