Artificial Intelligence
Artificial Intelligence
Principles of artificial intelligence
Principles of artificial intelligence
A quantitative approach to logical inference
Decision Support Systems
SALT: a knowledge acquisition language for propose-and-revise systems
Artificial Intelligence
Rule-based versus structure-based models for explaining and generating expert behavior
Communications of the ACM
Linear programming 1: introduction
Linear programming 1: introduction
Preliminary report on a system for general space planning
Communications of the ACM
Knowledge-Based Decision Support in Business: Issues and a Solution
IEEE Expert: Intelligent Systems and Their Applications
Dynamic Programming
An artificial intelligence approach to the formulation and maintenance of models
An artificial intelligence approach to the formulation and maintenance of models
Human Problem Solving
Lisp machine manual
Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation
Fuzzy Sets and Systems - Theme: Multicriteria decision
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Constraint satisfaction problems have been extensively studied by researchers in both the operations research (OR) and artificial intelligence (AI) areas. The research aimed at integrating the two approaches so that some of their limitations can be removed is described. Specifically, a knowledge-based system that formulates and maintains OR models for manufacturing planning purposes is presented. Domain-specific knowledge allows synthesis of various qualitative relationships into mathematical relationships and its identification of various dependencies between symbolic and mathematical models. The modeler component engages in a search process to identify the simplest model that can be formulated. A truth maintenance system, specifically designed to support modeling for planning, allows the user to explore various scenarios to arrive at an appropriate plan. Preliminary experiments indicate that human planners are able to formulate models that are equivalent to those formulated by experienced OR modelers for various planning problems.