Belief Base Revision for Further Improvement of Unified Answer Set Programming

In the domain of knowledge representation and reasoning belief revision plays an important role. The objective of belief revision is to study the process of belief change; i.e., when an rational agent comes across some new information, which contradicts his or her present believes, he or she has to retract some of the beliefs in order to accommodate the new information consistently. The three main principles on which the belief revision methodologies rely upon are; 1. Success: The new information must be accepted in the revised set of belief; 2. Consistency: The set of beliefs obtained after revision must be consistent; 3. Minimal Change: In order to restore consistency if some changes have to be incurred then the change should be as little as possible. The set of information of an rational agent can be represented by a deductively closed set of rules, i.e., a belief set, or by a set of rules that is