Case-based reasoning for financial decision making

Case-based reasoning provides a computational paradigm for simulating the role of experience and intentions in decision making. The author describes a program that provides a framework for modeling financial decision making. He suggests the use of qualitative decision models as a computationally feasible complement to the traditional quantitative approaches to financial decision making. He contrasts the approach to standard rule-based expert systems. He proposes an analysis based on the goals and relationships among the various economic agents in the financial community