Intelligent techniques for planning
- Hershey : 2005
- 364 p.
SECTION I. PLANNING AND KNOWLEDGE REPRESENTATION AND REASONING Chapter I. Declarative Planning and Knowledge Representation in an Action Language - Thomas Eiter, Wolfgang Faber, Gerald Pfeifer and Axel Polleres Chapter II. A Framework for Hybrid and Analogical Planning - Max Garagnani SECTION II: PLANNING AND MACHINE LEARNING Chapter III. Machine Learning for Adaptive Planning - Dimitris Vrakas, Grigorios Tsoumakas, Nick Bassiliades and Ioannis Vlahavas Chapter IV - Plan Optimization by Plan Rewriting - José Luis Ambite, Craig A. Knoblock and Steven Minton SECTION III: PLANNING AND AGENTS Chapter V. Continous Planning for Virtual Environments - Nikos Avradinis, Themis Panayiotopoulos and Ruth Aylett Chapter VI. Coordination in Multi-Agent Planning with an Application in Logistics - Jeroen Valk, Mathijs de Weerdt and Cees Witteveen Chapter VII. Al Planning and Intelligent Agents - Catherine C. Marinagi, Themis Panayiotopoulos and Constantine D. Spyropoulos SECTION IV: PLANNING AND CONSTRAINT SATISFACTION Chapter VIII. Planning with Concurrency, Time and Resources: A CSP-Based Approach - Amedeo Cesta, Simone Fratini and Angelo Oddi Chapter IX. Efficiently Dispatching Plans Encoded as Simple Temporal Problems - Martha E. Pollack and Ioannis Tsamardinos Chapter X. Constraint Satisfaction for Planning and Scheduling - Roman Barták