American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.3, No.2, Mar. 2017, Pub. Date: Jun. 14, 2017
Comparative Analysis of Computational Models of Multi Agent System Based on Interaction and Coordination
Pages: 14-18 Views: 491 Downloads: 127
Authors
[01] Pir Ammad Ali Shah, Department of Computer Science, University of South Asia, Lahore, Pakistan.
[02] Nabeel Aslam, Department of Computer Science, University of South Asia, Lahore, Pakistan.
[03] Fahad Riaz, Department of Computer Science, University of South Asia, Lahore, Pakistan.
[04] Zain Ali, Department of Computer Science, University of South Asia, Lahore, Pakistan.
Abstract
The aim of our study is to compare the Multi-Agent Models. The purpose of this study is also to find out which model is comparatively better for multi-Agent System on the bases of factors i-e Performance, Fast, Time Efficient, Cost and Learning. Under positivism paradigm, descriptive research design has been used in this study. It compares the Computational model of multi agent system to find the best model out of these for specific situations and to build better interaction and coordination between Agents. In addition to that, the environmental factors that affecting the multi-Agents also addressed. The models used in this study are Trust Model, Selection Model, Meta Model, Synchronous execution Model and Interleaved Execution Model. Findings of this study indicated that Synchronous execution Model is fast and better model out of these models. Results also indicated that Synchronous execution Model help to build better interaction and coordination between multi Agents Systems.
Keywords
Multi-Agent, Coordination, Interaction, Confidence, Trust
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