Intelligent Techniques for Planning
Ioannis Vlahavas, Dimitris Vrakas
Idea Group Inc (IGI), 2005 - Business & Economics - 364 pages
The Intelligent Techniques for Planning presents a number of modern approaches to the area of automated planning. These approaches combine methods from classical planning such as the construction of graphs and the use of domain-independent heuristics with techniques from other areas of artificial intelligence. This book discuses, in detail, a number of state-of-the-art planning systems that utilize constraint satisfaction techniques in order to deal with time and resources, machine learning in order to utilize experience drawn from past runs, methods from knowledge systems for more expressive representation of knowledge and ideas from other areas such as Intelligent Agents. Apart from the thorough analysis and implementation details, each chapter of the book also provides extensive background information about its subject and presents and comments on similar approaches done in the past.
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AAAI Press action languages activities AI planning algorithm analogical application approach architecture Artificial Intelligence assignment Blocks World causal complex component Computer Conference on Artificial configuration consistency constraint satisfaction continuous planning coordination Copying or distributing Copyright defined described dispatch distributing in print domain theory dynamic edge efficient electronic forms encoding example fluent formalism forms without written framework function goal graph Graphplan heuristic hybrid Idea Group Inc intelligent agents International Conference Knoblock knowledge representation layer Lifschitz logic programming Machine Learning Menlo Park Morgan Kaufmann multi-agent planning Muscettola mutex node nodeSet operators nl parameters PDDL performance plan rewriting planner planning and scheduling planning domain planning problem planning systems preconditions predicate print or electronic Proceedings propositions reactive reasoning represent requires resource rewriting rules robot satisfied semantics sentential setGraph solution solving specification symbols task techniques temporal constraints Tsamardinos variables virtual environments written Figure