Study of the effect of a rule based classifier modeled anti-corruption body in a neural network based environment

Authors:
Praveen Ranjan Srivastava;Rahul Kapoor;Rajat Gupta
Affiliations:
Indian Institute of Management (IIM), Rohtak, India;BITS Pilani, Rajasthan, India;BITS Pilani, Rajasthan, India
Venue:
Proceedings of the 6th ACM India Computing Convention
Year:
2013

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Abstract

A rigorous debate is going on the rules on which the Lokpal (an anti-corruption body) should work. In this paper rules have been defined on which an anti-corruption body will take decisions on a particular case. Three agents have been used -- citizen, bureaucrat and whistle blower to model the environment using neural network. External factors are defined which would affect the working of the Lokpal. The Lokpal body is modeled using rule-based classifier. The decisions of the above Lokpal model on corruption cases are studied. The effects of change in the external factors on the rate of corruption are discussed.