By Reinhard Klette (auth.), Wayne Wobcke, Mengjie Zhang (eds.)

ISBN-10: 3540893776

ISBN-13: 9783540893776

ISBN-10: 3540893784

ISBN-13: 9783540893783

This ebook constitutes the refereed lawsuits of the 21th Australasian Joint convention on synthetic Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008.

The forty two revised complete papers and 21 revised brief papers awarded including 1 invited lecture have been conscientiously reviewed and chosen from 143 submissions. The papers are geared up in topical sections on wisdom illustration, constraints, making plans, grammar and language processing, statistical studying, computer studying, information mining, wisdom discovery, tender computing, imaginative and prescient and picture processing, and AI applications.

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Read Online or Download AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence Auckland, New Zealand, December 1-5, 2008. Proceedings PDF

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Additional info for AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence Auckland, New Zealand, December 1-5, 2008. Proceedings

Sample text

Mutual belief revision between the agents means that each agent takes part of the other agent’s beliefs to revise his belief set. For A Fixed-Point Property of Logic-Based Bargaining Solution 37 instance, if Ψ1 is a subset of X1 and Ψ2 is a subset of X2 , then X1 ⊗1 Ψ2 is the revised belief set of player 1 after he accepts player 2’s beliefs Ψ2 while X2 ⊗2 Ψ1 is the resulting belief set of player 2 after accepting Ψ1 . Such an interaction of belief revision can continue until it reaches a fixed point where the beliefs in common, (X1 ⊗1 Ψ2 ) ∩ (X2 ⊗2 Ψ1 ), are exactly the beliefs that the agents mutually accept, Ψ1 + Ψ2 .

Multiple variables. The forgetting of multiple variables can be modelled by a simple adjustment. For n propositional variables, we get an event model 3 4 Applied to forgetting, this is the original proposal in [4]. Then, to achieve ignorance as in [3] they constrain this set of models to those satisfying ¬Kp ∧ ¬K¬p. That is different from what we do. Given (M, s), let M = {(M , s ) | (M, s) ↔ P −p (M , s )}. Given R : (M, s) ↔ P −p (M , s ) and R : (M, s) ↔ P −p (M , s ), add pairs (s , s ) to the relation R on M whenever there is a s ∈ S such that (s, s ) ∈ R and (s, s ) ∈ R .

This sort of forgetting is central to our concerns. Remembering prior knowledge. You also remember that you knew which key it was. You just forgot. Previously Kp or K¬p, and only now ¬Kp and ¬K¬p. Corresponding author. W. Wobcke and M. ): AI 2008, LNAI 5360, pp. 18–29, 2008. c Springer-Verlag Berlin Heidelberg 2008 Introspective Forgetting 19 Forgetting values. Did it ever happen to you that you met a person whose face you recognize but whose name you no longer remember? Surely! Or that you no longer know the pincode of your bankcard?

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AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence Auckland, New Zealand, December 1-5, 2008. Proceedings by Reinhard Klette (auth.), Wayne Wobcke, Mengjie Zhang (eds.)


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