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An adaptive type-2 fuzzy based charging technique for market design agents in uncertain environments

Almehdar, M and Hagras, H (2011) An adaptive type-2 fuzzy based charging technique for market design agents in uncertain environments. In: UNSPECIFIED, ? - ?.

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The Trading Agent CAT Market Design Competition aims to implement intelligent adaptive systems for controlling the operations of an abstract double auction market on a day to day basis whereby simulated software trading agents participate to buy and sell according to special constraints and rules. In the competition, the given agent, called market specialist, runs in direct competition to other market agents in a highly uncertain environment which is characterized by lack of knowledge of the exact parameters of traders' strategies, their cost and budget preferences and the behavior of competing markets. In this paper, we will present a novel agent which is based on the use type-2 fuzzy systems to implement the agent charging policy. Through several experiments, it will be shown that the type-2 fuzzy based agent will be able to outperform the existing agents as well as its type-1 counterparts under high uncertainty conditions. © 2011 IEEE.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: IEEE SSCI 2011 - Symposium Series on Computational Intelligence - IA 2011: 2011 IEEE Symposium on Intelligent Agents
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Users 161 not found.
Date Deposited: 12 Sep 2013 21:03
Last Modified: 23 Jan 2019 00:17

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