TY - GEN
T1 - Probabilistic belief contraction using argumentation
AU - Chhogyal, Kinzang
AU - Nayak, Abhaya
AU - Zhuang, Zhiqiang
AU - Sattar, Abdul
PY - 2015
Y1 - 2015
N2 - When a belief state is represented as a probability function P, the resulting belief state of the contraction of a sentence (belief) from the original belief state P can be given by the probabilistic version of the Harper Identity. Specifically, the result of contracting P by a sentence h is taken to be the mixture of two states: the original state P, and the resultant state P∗ h of revising P by the negation of h. What proportion of P and P∗ h should be used in this mixture remains an open issue and is largely ignored in literature. In this paper, we first classify different belief states by their stability, and then exploit the quantitative nature of probabilities and combine it with the basic ideas of argumentation theory to determine the mixture proportions. We, therefore, propose a novel approach to probabilistic belief contraction using argumentation.
AB - When a belief state is represented as a probability function P, the resulting belief state of the contraction of a sentence (belief) from the original belief state P can be given by the probabilistic version of the Harper Identity. Specifically, the result of contracting P by a sentence h is taken to be the mixture of two states: the original state P, and the resultant state P∗ h of revising P by the negation of h. What proportion of P and P∗ h should be used in this mixture remains an open issue and is largely ignored in literature. In this paper, we first classify different belief states by their stability, and then exploit the quantitative nature of probabilities and combine it with the basic ideas of argumentation theory to determine the mixture proportions. We, therefore, propose a novel approach to probabilistic belief contraction using argumentation.
UR - http://www.scopus.com/inward/record.url?scp=84949815906&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/arc/DP150104133
M3 - Conference proceeding contribution
AN - SCOPUS:84949815906
T3 - International Joint Conference on Artificial Intelligence Proceedings
SP - 2854
EP - 2860
BT - Proceedings of the 24th International Joint Conference on Artificial Intelligence, IJCAI 2015
A2 - Yang, Qiang
A2 - Wooldridge, Michael
PB - Association for the Advancement of Artificial Intelligence
CY - Palo Alto, CA
T2 - 24th International Joint Conference on Artificial Intelligence, IJCAI 2015
Y2 - 25 July 2015 through 31 July 2015
ER -