Open AccessEvaluation of Consistency of the Knowledge in Agents
Author(s) -
Meliza Contreras,
Miguel Rodríguez,
Pedro Bello,
Rodolfo Aguirre
Publication year - 2012
Publication title -
acta universitaria
Language(s) - English
Resource type - Journals
eISSN - 2007-9621
pISSN - 0188-6266
DOI - 10.15174/au.2012.340
Subject(s) - knowledge base , computer science , contradiction , consistency (knowledge bases) , set (abstract data type) , domain knowledge , knowledge management , artificial intelligence , programming language , epistemology , philosophy
Given a set of agents with valid previous knowledge bases, we wish to know how new knowledge affects each agent. To model the new knowledge, boolean logic is used, expressed by 2CNF clauses, to reduce the complexity. Upon recieving new knowledge, one or more agents may find it inconsistent with their previous knowledge base, so a mechanism is applied which removes knowledge by using a contraction operation, described by the AGM model. The goal is to determinate if that contradicting knowledge significantly affects the set of beliefs of each agent. Further more, a problem is modeled in which, given a set of agents and their knowledge base, some clauses representing new knowledge are added with the aim of determining which agent is the most affected, due to contradiction with the previous knowledge.