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2013 (Vol. 6, Issue: 22)
Article Information:

Developing Agent Based Modeling for Reverse Analysis Method

Saratha Sathasivam, Ng Pei Fen and Nawaf Hamadneh
Corresponding Author:  Saratha Sathasivam 

Key words:  Agent based modelling, logical rules, NETLOGO, reverse analysis, , ,
Vol. 6 , (22): 4281-4288
Submitted Accepted Published
March 11, 2013 April 12, 2013 December 05, 2013
Abstract:

In this study we want to develop Agent Based Modelling (ABM) for Reverse analysis method. Logical knowledge resides in the synaptic connections of a network. By examining the connection strengths obtained during the learning process, logical rules that have been acquired may be deduced. Following this, we introduce a method to do this, which we call reverse analysis: given the values of the connections of a network, we hope to know what logical rules are entrenched in it. In this study, agent based modelling for this method will be developed by using NETLOGO as the platform. By using ABM the capability of Reverse Analysis method in the data mining application can be enhanced.
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  Cite this Reference:
Saratha Sathasivam, Ng Pei Fen and Nawaf Hamadneh, 2013. Developing Agent Based Modeling for Reverse Analysis Method .  Research Journal of Applied Sciences, Engineering and Technology, 6(22): 4281-4288.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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