One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.
CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
Abstract: One of the key factors for the acceptance of expert systems in real-world domains is the ability to explain their reasoning (Buchanan & Shortliffe, 1984; Henrion & Druzdzel, 1990). This paper describes the basic properties that characterise explanation methods and reviews the methods developed to date for explanation in Bayesian networks.
CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
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CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
CARMEN LACAVE, FRANCISCO J DÍEZ. 2002. A review of explanation methods for Bayesian networks. The Knowledge Engineering Review. 17: doi: 10.1017/S026988890200019X
