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Constraint-Based Reasoning

Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include;

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Handbook of Parallel Constraint Reasoning

This is the first book presenting a broad overview of parallelism in constraint-based reasoning formalisms. In recent years, an increasing;

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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

DisCSP (Distributed Constraint Satisfaction Problem) is a general framework for solving distributed problems arising in Distributed;

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AAAI-90

proving, uncertainty, truth-maintenance systems, constraint-based systems. Cognitive Modeling. Commonsense Reasoning: qualitative reasoning;

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Declarative Programming and Knowledge Management

constraint-based, logical and functional languages and their extensions, as well as discuss new approaches and key findings in constraint-solving;

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Essentials of Constraint Programming

more. We take the reader on a step-by-step journey through the world of constraint-based programming and constraint reasoning. Feel free to;

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Constraint Processing

Constraint satisfaction is a simple but powerful tool. Constraints identify the impossible and reduce the realm of possibilities to;

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Graph Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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Graph Structures for Knowledge Representation and Reasoning

papers feature current research involved in the development and application of graph-based knowledge representation formalisms and reasoning;

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Reasoning with Probabilistic and Deterministic Graphical Models

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm;

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Reasoning with Probabilistic and Deterministic Graphical Models

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm;

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Reasoning with Probabilistic and Deterministic Graphical Models

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm;

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Knowledge Representation

in the Framework of Situation Calculus * The Computational Complexity of Abduction * Temporal Constraint Networks * Impediments to Universal;

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Constraint-Based Grammar Formalisms

Constraint-based theories of grammar and grammar formalisms are becoming an increasingly widespread area of research in computational;

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Advances in Artificial Intelligence

, Canadian AI 2007, held in Montreal, Canada, in May 2007. The 46 revised full papers cover agents, bioinformatics, classification, constraint;

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Geometric Constraint Solving and Applications

volume features a collection of work by leading researchers developing the various aspects of constraint-based product modeling.In an;

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Logics in Artificial Intelligence

change; constraint satisfaction; description logics and ontological reasoning; non-classical logics; and logic programming (answer set;

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The Logic of Typed Feature Structures

foundation for grammars, logic programming and constraint-based reasoning systems. A logical perspective is adopted which employs an attribute-value;

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Logic-Based Methods for Optimization

A pioneering look at the fundamental role of logic in optimization and constraint satisfaction While recent efforts to combine optimization;

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Handbook of Knowledge Representation

reasoning and covers such topics as classical logic in Knowledge Representation; satisfiability solvers; description logics; constraint programming;

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Creativity and Reason in Cognitive Development

together at times but may also be at odds. Spontaneity and freedom from constraint, characteristic of the thinking of young children, may be;

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Current Perspectives in Social and Behavioral Sciences

together at times but may also be at odds. Spontaneity and freedom from constraint, characteristic of the thinking of young children, may be;

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Model-Based Reasoning in Science and Technology

This volume is a collection of selected papers that were presented at the international conference Model-Based Reasoning in Science and;

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Case-Based Reasoning

Case-based reasoning is a methodology with a long tradition in artificial intelligence that brings together reasoning and machine learning;

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Analogies and Theories

think about their environment and make predictions based on their past experience. The focus is on analogies (case-based reasoning) and general;

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Case-Based Reasoning

This book presents case-based reasoning in a systematic approach with two goals: to present rigorous and formally valid structures for;

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Tree-based Graph Partitioning Constraint

interesting aspect of this book is related to the implementation of such a constraint. In the context of graph-based global constraints, the book;

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