Information aggregation and computational intelligence

Shu-Heng Chen and Ragupathy Venkatachalam ()
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Ragupathy Venkatachalam: National Chengchi University

Evolutionary and Institutional Economics Review, 2017, vol. 14, issue 1, No 14, 252 pages

Abstract: Abstract This study examines the possibility that the computational intelligence (CI) inspired tools can effectively 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 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 coexisted 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 effectiveness of the market mechanism may not be so much conditioned on the information and communication technology still applies.

Keywords: Web 2.0; Computational intelligence; Socialist calculation debate; Text mining; Sentiment analysis; Tacit knowledge; Evolutionary computation; C63; B25; D8; C55 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s40844-016-0048-z

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