Constraint-driven Methodology for Context-based Decision Support

Abstract

An approach to intelligent decision making support at its tactical and operational levels is discussed. The main idea behind the approach consists in knowledge-based creation of a problem model, instantiation of the problem by data values from information sources, and its interpretation as a constraint satisfaction problem. The proposed approach stages are mapped into Simon’s decision process model. Approach applicability is illustrated through a case study of disaster response.