00000cmm a22000005i 4500 UP-99796217611057459 Buklod 20230504003249.0 m go j cr |n |||auu|a 110714s2011 xx u | eng d 9783642225802 (eBook) 3642225802 (eBook) (iLib)UPD-00210204062 DLC DML eng TJ 211 H37 2011eb Hartanto, Ronny A Hybrid Deliberative Layer for Robotic Agents Fusing DL Reasoning with HTN Planning in Autonomous Robots [electronic resource] by Ronny Hartanto. Berlin, Heidelberg Springer Berlin Heidelberg 2011. 1 online resource (xxii, 215 p.) Lecture Notes in Computer Science 6798 0302-9743 Introduction.-The Hybrid Deliverative Layer.-HDL Systems in the Robotics Domain.-Case Study: "Johnny Jackanapes".-HDL Systems in the AI Domain.-REsult and Evaluation.-Discussion.-Conclusions.-Generated Planning Domain.-HDL ABox Assertion.-References.-Index. IP based subscription, on campus only. Access via Electronic Resources of the UPD University Library Website. 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. Electronic reproduction. New York SpringerLink c2011. Available via World Wide Web through SpringerLink. Robotics. Computer Communication Networks. Software engineering. Artificial intelligence. Computer simulation. SpringerLink. Lecture Notes in Computer Science 0302-9743 6798 Electronic Resource http://dx.doi.org/10.1007/978-3-642-22580-2 Available for University of the Philippines Diliman via SpringerLink. Click here to access (viewed 10 May 2014) FO Monograph UPD DMLR Electronic Resource