Developing Agent Based Modeling for Reverse Analysis Method
Saratha Sathasivam, Ng Pei Fen, Nawaf N. Hamadneh · Research Journal of Applied Sciences Engineering and Technology · 2013
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.