Extracting Cognitive Maps for Intelligent Conceptual Product Design

Ming Wei Wang; Jing Tao Zhou

doi:10.4028/www.scientific.net/AMR.1037.518

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 1037Extracting Cognitive Maps for Intelligent...

Extracting Cognitive Maps for Intelligent Conceptual Product Design

Abstract:

Cognitive maps represent decision makers’ mental maps and their strategies, which are always uncertain, ambiguous and hard to be formalized. In order to make intelligent design decision-making, a Bayesian approach for constructing cognitive maps is proposed in this paper. The cognitive map is modeled compatible with a Bayesian Network. Then cause-effect mapping rules between design elements embedded in cognitive maps can be made explicit by means of network structure learning. A score-based greedy search algorithm is implemented for network structure learning, in which penalized mutual information is defined as the scoring metric and hill-climbing search algorithm is used to find the highest-scoring network. The eliminating loop operator is introduced into the algorithm according to the restriction of the edge directionality.

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Periodical:

Advanced Materials Research (Volume 1037)

Pages:

518-521

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1037.518

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Online since:

October 2014

Authors:

Ming Wei Wang*, Jing Tao Zhou

Keywords:

Bayesian Network, Cause-Effect Mapping, Cognitive Map, Intelligent Design

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* - Corresponding Author

References

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