Application of Asymptotic Learning for Communication Agents within Social Network

Dimishkova, Zorica (2012) Application of Asymptotic Learning for Communication Agents within Social Network. In: Proceedings of the Nineth Conference on Informatics and Information Technology. Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Macedonia, Skopje, Macedonia, pp. 139-143. ISBN 978-608-4699-01-9

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Abstract

In this document a preview of asymptotic learning over Bayesian and Non-Bayesian model is presented. The conditions for establishment of asymptotic learning using two models and differences between two models are discussed. As result of that discussion, I present my approach for using Bayesian model for asymptotic learning in social network of connected agents for the braking of vehicles. Asymptotic learning in my approach is used for agent communication needed for making the best decision from single and multi agent's environment.

Item Type: Book Section
Subjects: International Conference on Informatics and Information Technologies > Intelligent Systems
International Conference on Informatics and Information Technologies > Robotics
International Conference on Informatics and Information Technologies > Bioinformatics
Depositing User: Vangel Ajanovski
Date Deposited: 28 Oct 2016 00:15
Last Modified: 28 Oct 2016 00:15
URI: http://eprints.finki.ukim.mk/id/eprint/11353

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