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When big data fails: Adaptive agents using coarse-grained information have competitive advantage

Sasidevan, V and Kushal, Appilineni and Sinha, Sitabhra (2018) When big data fails: Adaptive agents using coarse-grained information have competitive advantage. In: PHYSICAL REVIEW E, 98 (2).

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Official URL: http://dx.doi.org/10.1103/PhysRevE.98.020301

Abstract

The recent trend for acquiring big data assumes that possessing quantitatively more and qualitatively finer data necessarily provides an advantage that may be critical in competitive situations. Using a model complex adaptive system where agents compete for a limited resource using information coarse grained to different levels, we show that agents having access to more and better data perform worse than others in certain situations. The relation between information asymmetry and individual payoffs is seen to be complex, depending on the composition of the population of competing agents.

Item Type: Journal Article
Additional Information: Copy right for this article belong to AMER PHYSICAL SOC, ONE PHYSICS ELLIPSE, COLLEGE PK, MD 20740-3844 USA
Department/Centre: UG Programme
Depositing User: Id for Latest eprints
Date Deposited: 29 Aug 2018 16:04
Last Modified: 16 Oct 2018 10:50
URI: http://eprints.iisc.ac.in/id/eprint/60520

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