Constraint-based reasoning is an important area of automated reasoning in artificial intelligence, with many applications. These include configuration and design problems, planning and scheduling, temporal and spatial reasoning, defeasible and causal reasoning, machine vision and language understanding, qualitative and diagnostic reasoning, and expert systems. Constraint-Based Reasoning presents current work in the field at several levels: theory, algorithms, languages, applications, and hardware.Constraint-based reasoning has connections to a wide variety of fields, including formal logic, graph theory, relational databases, combinatorial algorithms, operations research, neural networks, truth maintenance, and logic programming. The ideal of describing a problem domain in natural, declarative terms and then letting general deductive mechanisms synthesize individual solutions has to some extent been realized, and even embodied, in programming languages.Contents :- Introduction, E. C. Freuder, A. K. Mackworth.- The Logic of Constraint Satisfaction, A. K. Mackworth.- Partial Constraint Satisfaction, E. C. Freuder, R. J. Wallace.- Constraint Reasoning Based on Interval Arithmetic: The Tolerance Propagation Approach, E. Hyvonen.- Constraint Satisfaction Using Constraint Logic Programming, P. Van Hentenryck, H. Simonis, M. Dincbas.- Minimizing Conflicts: A Heuristic Repair Method for Constraint Satisfaction and Scheduling Problems, S. Minton, M. D. Johnston, A. B. Philips, and P. Laird.- Arc Consistency: Parallelism and Domain Dependence, P. R. Cooper, M. J. Swain.- Structure Identification in Relational Data, R. Dechter, J. Pearl.- Learning to Improve Constraint-Based Scheduling, M. Zweben, E. Davis, B. Daun, E. Drascher, M. Deale, M. Eskey.- Reasoning about Qualitative Temporal Information, P. van Beek.- A Geometric Constraint Engine, G. A. Kramer.- A Theory of Conflict Resolution in Planning, Q. Yang.A Bradford Book. Introduction To The Special Volume On Constraint-based Reasoning / E.c. Freuder And A.k. Mackworth -- The Logic Of Constraint Satisfaction / A.k. Mackworth -- Partial Constraint Satisfaction / E.c. Freuder And R.j. Wallace -- Constraint Reasoning Based On Interval Arithmetic : The Tolerance Propagation Approach / E. Hyvönen -- Constraint Satisfaction Using Constraint Logic Programming / P. Van Hentenryck, H. Simonis And M. Dincbas -- Minimizing Conflicts : A Heuristic Repair Method For Constraint Satisfaction And Scheduling Problems / S. Minton [and Others] -- Arc Consistency : Parallelism And Domain Dependence / P.r. Cooper And M.j. Swain -- Structure Identification In Relational Data / R. Dechter And J. Pearl -- Learning To Improve Constraint-based Scheduling / M. Zweben [and Others] -- Reasoning About Qualitative Temporal Information / P. Van Beek -- A Geometric Constraint Engine / G.a. Kramer -- A Theory Of Conflict Resolution In Planning / Q. Yang. Edited By Eugene C. Freuder And Alan K. Mackworth. A Bradford Book. Reprinted From Artificial Intelligence, Volume 58, Numbers 1-3, 1992. Includes Bibliographical References And Index. Fin des années 1960. Le narrateur vit chez ses grands-parents dans une atmosphère aussi étouffante que celle délétère du collège de jésuites qu'il fréquente, jusqu'au jour où apparaît Stein, un nouvel élève entouré d'un épais mystère, derrière lequel se cachent les fantômes des années de guerre et les zones d'ombre de sa propre famille ..
