By Ioannis Vlahavas, Dimitris Vrakas
Clever innovations for making plans provides a few smooth ways to the world of automatic making plans. those ways mix equipment from classical making plans comparable to the development of graphs and using domain-independent heuristics with innovations from different components of man-made intelligence. The ebook provides, intimately, a couple of cutting-edge making plans structures that make the most of constraint pride recommendations with a purpose to take care of time and assets, computer studying on the way to make the most of event drawn from earlier runs, tools from wisdom structures for extra expressive illustration of data and concepts from different components resembling clever brokers. except the thorough research and implementation info, every one bankruptcy of the booklet additionally offers wide history information regarding its topic and offers and reviews comparable techniques performed long ago.
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Additional resources for Intelligent techniques for planning
Sample text
The logic-based setting of action languages eases this, while this would be much more involved for traditional planning approaches. Finally, since most action languages have been conceived for reasoning about actions and change in general, implementations may allow for expressing a broader range of problems beyond traditional planning, like the CCALC system (McCain, 1999) implementing C . , that in addition to the goal, certain conditions never hold along an execution). This holds potential for providing planning systems that can easily handle extended goals whereas classical planning systems cannot.
261-274). Fort Lauderdale, Florida, USA: Springer. Warren, D. H. D. (1976, July 12-14). Generating conditional plans and programs. In Proceedings of the Summer Conference on Artificial Intelligence and Simulation of Behaviour (pp. 344-354). Edinburgh, UK. Copyright © 2005, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. A Framework for Hybrid and Analogical Planning 35 Chapter II A Framework for Hybrid and Analogical Planning Max Garagnani, The Open University, UK ABSTRACT This chapter describes a model and an underlying theoretical framework for hybrid planning.
324-332). Toronto, Canada: Morgan Kaufmann Publishers. Peot, M. , & Smith, D. E. (1992). Conditional nonlinear planning. In Proceedings of the First International Conference on Artificial Intelligence Planning Systems (pp. 189-197). Menlo Park, CA: AAAI Press. Polleres, A. (2003). Advances in answer set planning (Doctoral dissertation). Institut für Informationssysteme, Technische Universität Wien, Wien, Österreich. Reiter, R. (1978). On closed world data bases. In H. Gallaire & J. ), Logic and Data Bases (pp.