Combine the objective features with the subjective feelings in personal multi-alternative decision making modeling

Authors:
Jiyun Li;Jerome R. Busemeyer
Affiliations:
School of Computer Science and Technology, Donghua University, Shanghai, The People's Republic of China;Psychology and Brain Science Department, Indiana University, Bloomington, IN
Venue:
BI'09 Proceedings of the 2009 international conference on Brain informatics
Year:
2009

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Abstract

In this paper we propose a computer modeling framework for personal multi-alternative decision making. It integrates both the objective feature space searching and evaluation and subjective feeling space deliberating and evaluation process. A case study on fashion decision making is given out as an example. It shows that the proposed model outperforms the currently widely studied ones in terms of prediction accuracy due to the consideration of the stochastic characteristics and the psychological effects that occur quite often in human multi-alternative decision making.