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Constraint Processing (Hardcover, New)
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Constraint Processing (Hardcover, New)
Series: The Morgan Kaufmann Series in Artificial Intelligence
Expected to ship within 12 - 17 working days
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Constraint satisfaction is a simple but powerful tool. Constraints
identify the impossible and reduce the realm of possibilities to
effectively focus on the possible, allowing for a natural
declarative formulation of what must be satisfied, without
expressing how. The field of constraint reasoning has matured over
the last three decades with contributions from a diverse community
of researchers in artificial intelligence, databases and
programming languages, operations research, management science, and
applied mathematics. Today, constraint problems are used to model
cognitive tasks in vision, language comprehension, default
reasoning, diagnosis, scheduling, temporal and spatial reasoning.
In Constraint Processing, Rina Dechter, synthesizes these
contributions, along with her own significant work, to provide the
first comprehensive examination of the theory that underlies
constraint processing algorithms. Throughout, she focuses on
fundamental tools and principles, emphasizing the representation
and analysis of algorithms.
-Examines the basic practical aspects of each topic and then
tackles more advanced issues, including current research
challenges
-Builds the reader's understanding with definitions, examples,
theory, algorithms and complexity analysis
-Synthesizes three decades of researchers work on constraint
processing in AI, databases and programming languages, operations
research, management science, and applied mathematics
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