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.
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Brindha, G.R., Anand, S., Prakash, S., JoePrathap, P.M. (2012). Optimization of Task Allocation Using Quantum Game Theory with Artificial Intelligence. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_1
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DOI: https://doi.org/10.1007/978-3-642-27443-5_1
Publisher Name: Springer, Berlin, Heidelberg
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