By K. Tam, J. Lloyd, Y. Lespérance, H. Levesque (auth.), Abdul Sattar (eds.)
This ebook constitutes the refereed court cases of the tenth Australian Joint convention on man made Intelligence, AI'97, held in Perth, Australia, in November/December 1997. the amount offers forty eight revised complete papers chosen from a complete of 143 submissions. additionally incorporated are 3 keynote talks and one invited paper. The ebook is split into topical sections on constraint pride and scheduling, desktop imaginative and prescient, dispensed AI, evolutionary computing, knowledge-based platforms, wisdom illustration and reasoning, studying and computing device imaginative and prescient, laptop studying, NLP and person modeling, neural networks, robotics and computing device acceptance, and temporal qualitative reasoning.
Read or Download Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence, AI'97 Perth, Australia, November 30 – December 4, 1997 Proceedings PDF
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Additional info for Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence, AI'97 Perth, Australia, November 30 – December 4, 1997 Proceedings
The Crimson and Sienna scenarios required supposing that a node is True in order to strengthen the belief in the goal proposition of an argument; the Lemon scenario required a True supposition in order to unblock a path; and the Mauve scenario required unsetting or “forgetting” the value a node to weaken the belief in the goal proposition of an argument. Each scenario contained background evidence (not shown in Figure 4) and two versions of a short argument for a goal proposition in our BN. One version (denoted “We think that”) stated the belief obtained for the goal proposition by performing Bayesian propagation from the evidence, and the other version (denoted “If someone says”) gave a different belief for this proposition.
References 1. : Aims: Learning and teaching support for www-based education. Int. Journal for Continuing Engineering Education and Life-long Learning (IJCEELL) 11 (2001) 152–164 2. : The semantic web. Scientiﬁc American (2001) 35–43 3. : The next big thing: Adaptive web-based systems. Journal of Digital Information, 5(1) (2004) 4. : A study of user model based link annotation in educational hypermedia. Journal of Universal Computer Science, 4(4) (1998) 429–448 5. : Ontology-based interactive user modeling for adaptive information systems.
Ardissono, P. Brna, and A. ): UM 2005, LNAI 3538, pp. 19–29, 2005. c Springer-Verlag Berlin Heidelberg 2005 20 S. George, I. Zukerman, and M. Niemann ciated with degrees of belief, and relations between propositions. For example, if a user said “If I walk to the main road, then I’ll probably be in Sydney tomorrow”, one possible interpretation would be “WalkMainRoad → TakeBus → ArriveSydney [Likely]”, and another would be “WalkMainRoad → HitchRide → ArriveSydney [Likely]”. The procedure described in this paper incorporates suppositions into such interpretations in order to account for the beliefs stated by a user.
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