A Hybrid Deliberative Layer for Robotic Agents

Fusing DL Reasoning with HTN Planning in Autonomous Robots
1. Auflage 2011
ISBN: 978-3-642-22579-6
Verlag: Springer

Buch, Englisch, 215 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 343 g

Reihe: Lecture Notes in Artificial Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Hartanto, Ronny

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Inhaltsverzeichnis

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.