Authors:
Expedito Carlos Lopes
and
Ulrich Schiel
Affiliation:
Federal University of Campina Grande, Brazil
Keyword(s):
Case-based reasoning, Evidence-based practice, Decision support.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Case-Based Reasoning
;
Enterprise Information Systems
;
Pattern Recognition
;
Strategic Decision Support Systems
;
Symbolic Systems
;
Theory and Methods
Abstract:
Evidence-Based Practice (EBP), an emergent paradigm, uses the premise that decision making can be based on scientific proofs available in reliable data bases, usually found on sites over the Internet. However, the procedures of the EBP do not provide mechanisms for retention of information and knowledge strategic of the individual solutions, which could facilitate the learning of different end-users, in the future. On the other hand, Case-Based Reasoning (CBR) uses the history of similar cases to support decision making. But, the retrieval of cases may not be sufficient to give support to the solution of problems. Since both research evidences as well as similar cases are important for decision-making, this paper proposes the integration of the two paradigms for problem-solution support, regarding complex problems. An example of the justice area is presented.