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. The book presents, 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 similar approaches done in the past.
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