浙江大学研究生人工智能引论课件运功第五讲DS证据理.pptx

浙江大学研究生《人工智能引论》课件;Outline;[1] Dempster, A. P. Upper and lower probabilities induced by a multivalued mapping. Annals of Mathematical Statistics, 1967, 38(2): 325-339. 【提出证据理论的第一篇文献】 [2] Dempster, A. P. Generalization of Bayesian Inference. Journal of the Royal Statistical Society. Series B 30, 1968:205-247. [3] Shafer, G. A Mathematical Theory of Evidence. Princeton University Press, 1976. 【证据理论的第一本专著，标志其正式成为一门理论】 [4] Barnett, J. A. Computational methods for a mathematical theory of evidence. In: Proceedings of 7th International Joint Conference on Artificial Intelligence(IJCAI-81), Vancouver, B. C., Canada, Vol. II, 1981: 868-875. 【第一篇将证据理论引入AI领域的标志性论文】;[5] Zadeh, L. A. Review of Shafer’s a mathematical theory of evidence. AI Magazine, 1984, 5:81-83. 【对证据理论进行质疑的经典文献之一】 [6] Shafer, G. Perspectives on the theory and practice of belief functions. International Journal of Approximate Reasoning, 1990, 4: 323-362. [7] Shafer, G. Rejoinder to comments on “Perspectives on the theory and practice of belief functions”. International Journal of Approximate Reasoning, 1992, 6: 445-480. [8] Voorbraak, F. On the justification of Dempster’s rule of combination. Artificial Intelligence, 1991, 48:171-197. [9] Smets, P. The combination of evidence in the transferable model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 12(5): 447-458. [10] Smets, P, and Kennes, R. The transferable belief model. Artificial Intelligence, 1994, 66: 191-234. ;[11] Voobraak, F. A computationally efficient approximation of Dempster-Shafer theory. International Journal of Man-Machine Study, 1989, 30: 525-536. [12] Dubois, D, Prade, H. Consonant approximations of belief functions. International Journal of Approximate Reasoning, 1990, 4: 279-283. [13] Tessem, B. Approximations for efficient computation in the theory of evidence. Artificial Intelligence, 1993, 61:315-329. 【注：文献10-12均为证据理论近似计算方法】 [14] Simard, M. A., et al. Data fusion of multiple sensors attri