TY - JOUR
T1 - Causal knowledge and reasoning by cognitive maps
T2 - Pursuing a holistic approach
AU - Peña, Alejandro
AU - Sossa, Humberto
AU - Gutiérrez, Agustín
N1 - Funding Information:
The first author gives testimony of the strength given by his Father, Brother Jesus and Helper, as part of the research projects of World Outreach Light to the Nations Ministries (WOLNM). In addition, this research had a partial support with the grants from CONACYT SEP-2004-C01-46805/747, CONACYT 182329, IPN-COFAA DEBEC/651/06, IPN-COTEPABE PL-343/06, and Microsoft Mexico.
PY - 2008/7
Y1 - 2008/7
N2 - 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.
AB - 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.
KW - Cognitive maps
KW - causal inference
KW - causal relations
KW - causality
KW - concepts
KW - qualitative model
UR - http://www.scopus.com/inward/record.url?scp=45049083466&partnerID=8YFLogxK
U2 - 10.1016/j.eswa.2007.06.016
DO - 10.1016/j.eswa.2007.06.016
M3 - Artículo de revisión
SN - 0957-4174
VL - 35
SP - 2
EP - 18
JO - Expert Systems with Applications
JF - Expert Systems with Applications
IS - 1-2
ER -