A Hybrid Deliberative Layer for Robotic Agents Fusing DL Reasoning with HTN Planning in Autonomous Robots
Description
The Hybrid Deliberative Layer (HDL) solves the problem that an intelligent agent faces in dealing with a large amount of information which may or may not be useful in generating a plan to achieve a goal. The information, that an agent may need, is acquired and stored in the DL model. Thus, the HDL is used as the main knowledge base system for the agent. In this work, a novel approach which amalgamates Description Logic (DL) reasoning with Hierarchical Task Network (HTN) planning is introduced. An analysis of the performance of the approach has been conducted and the results show that this approach yields significantly smaller planning problem descriptions than those generated by current representations in HTN planning.
Keywords
ComputersIntelligence (AI) & SemanticsComputer SimulationUser InterfacesMachine TheoryNetworkingHardwareSoftware Development & EngineeringDesktop ApplicationsDesign & Graphics
2011Book
Author(s)Ronny Hartanto
PublisherSpringer Science & Business Media
ISBN9783642225796
LanguageEnglish
