Emergence of distributed coordination in the Kolkata Paise Restaurant problem with finite information

Diptesh Ghosh () and Anindya S. Chakrabarti

Physica A: Statistical Mechanics and its Applications, 2017, vol. 483, issue C, 16-24

Abstract: In this paper, we study a large-scale distributed coordination problem and propose efficient adaptive strategies to solve the problem. The basic problem is to allocate finite number of resources to individual agents in the absence of a central planner such that there is as little congestion as possible and the fraction of unutilized resources is reduced as far as possible. In the absence of a central planner and global information, agents can employ adaptive strategies that uses only a finite knowledge about the competitors. In this paper, we show that a combination of finite information sets and reinforcement learning can increase the utilization fraction of resources substantially.

Keywords: Minority games; Adaptive strategies; Information sets; Resource allocation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (5)

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Working Paper: Emergence of Distributed Coordination in the Kolkata Paise Restaurant Problem with Finite Information (2017)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:483:y:2017:i:c:p:16-24

DOI: 10.1016/j.physa.2017.04.171

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