Optimization of task allocation using quantum game theory with artificial intelligence

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Abstract

This paper deals about the implication of quantum game theory with the basis of Artificial Intelligence in real time scenario. Though game theory ideas are basically handled with AI techniques, the radiation of quantum computing gives effective and efficient solutions to the classical games and also in various fields like economics, finance etc., The paper focuses on the following issues: study of quantum strategies in game theory applications and analysis of an application of game theory to solve the real time problem of Task Allocation. The strategies, that we have developed, comprise of different meticulous frame work applied in the field of artificial intelligence. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

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APA

Brindha, G. R., Anand, S., Prakash, S., & Joeprathap, P. M. (2012). Optimization of task allocation using quantum game theory with artificial intelligence. In Advances in Intelligent and Soft Computing (Vol. 132 AISC, pp. 1–10). Springer Verlag. https://doi.org/10.1007/978-3-642-27443-5_1

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