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Can I read Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science) on EtoBox?
Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science) by Jörg Hoffmann, Jörg Hoffmann is a nonfiction available to read on EtoBox.
What is Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science) about?
Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently. After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve.
Who reads Utilizing Problem Structure in Planning: A Local Search Approach (Lecture Notes in Computer Science)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Jörg Hoffmann, Jörg Hoffmann
- Publisher
- Springer Berlin Heidelberg : Imprint : Springer
- Published
- 2003
- Language
- EN
- ISBN
- 9783540396079
- Category
- nonfiction
- Subjects
- Mathematics, Science, Programming
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