Autores
Peña Ayala Alejandro
Sossa Azuela Juan Humberto
Título Causal knowledge and reasoning by cognitive maps: pursuing a holistic approach
Tipo Revista
Sub-tipo JCR
Descripción Expert Systems with Applications
Resumen Due to the lack of an integral study about cognitive maps (CM) that focus on the causal phenomenon, this paper introduces the underlying concepts towards a holistic conceptual model, enhanced by a profile of several versions. We illustrate the use of CM through their application into the Web-based Education Systems (WBES). From the causal perspective, CM depict and simulate the systems dynamics based upon qualitative knowledge about a specific domain. A CM is a visual digraph that identifies the concepts of a given subject of analysis. CM show causal-effect relationships among the concepts and outline complex structures. This tool aims to predict the evolution of a model through causal inference. This kind of inference estimates the degree of significance of change of the concepts in the context of the whole system. The behavior of a CM is given away during iterations that update the variation of the concept state values until reach a stable point in a search space, a pattern of states or a chaotic region. The purpose of this research is to share its findings, depict the work done and promote the use of CM in a broad spectrum of domains.
Observaciones
Lugar
País Estados Unidos
No. de páginas 2-18
Vol. / Cap. Vol. 35, Issue 1-2
Inicio 2008-08-01
Fin
ISBN/ISSN