Information aggregation and computational intelligence

Abstract

This paper examines the possibility that the computational intelligence (CI) inspired tools can e↵ectively aggregate the rich information generated from the Web 2.0 economy, and thereby enhance the quality of decision-making. Despite many advancements and commendable applications of CI in recent years, this issue has not been well addressed. We argue that this question is intimately related to the central issue of the socialist calculation debate since the time of Friedrich Hayek. In terms of information aggregation, we examine whether there is a better engineering than the market mechanism. More precisely, we focus on whether the CI-driven sentiment analysis can generate signals like prices and whether CI can process the unstructured text data better than the market. We argue that Web 2.0 economy may not be able to set us free from information overload problems that have long co-existed with the presence of markets. We attribute this to the tacitness and subjectivity of knowledge and the recursive (feedback) characteristic of the sentiments. In this sense, Hayek's fundamental assertion that the e↵ectiveness of the market mechanism may not be so much conditioned on the information and communication technology still applies.The first author and the second author are grateful for the research support in the form of Ministry of Science and Technology (MOST) grants, MOST 103-2410-H-004-009-MY3 and MOST 104-2811-H-004-003, respectively. We thank the two anonymous referees for their valuable suggestions that helped to improve the paper. All remaining errors are our own.

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