IEEE Intelligent Systems
Planning and knowledge representation for softbots
Planning and knowledge representation for softbots
Situation-dependent learning for interleaved planning and robot execution
Situation-dependent learning for interleaved planning and robot execution
VHPOP: versatile heuristic partial order planner
Journal of Artificial Intelligence Research
Exception handling in web service processes
The evolution of conceptual modeling
Agent-based semantic composition of web services using distributed description logics
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Satisfying agent goals by executing different task semantics: HTN, OWL-S or plug one yourself
Autonomous Agents and Multi-Agent Systems
Automated abstract planning with use of genetic algorithms
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
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This paper illustrates how a modified version of a modern Partial Order Planner (POP) can be combined with a replanning algorithm to solve planning problems in Web service domains. The contributions of the work are (i) a method of using feedback gained from plan execution for improving plan search and (ii) a novel approach of dealing with nondeterministic Web service operations.