By Wayne Wobcke, Mengjie Zhang
This publication constitutes the refereed complaints of the 21th Australasian Joint convention on man made Intelligence, AI 2008, held in Auckland, New Zealand, in December 2008.
The forty two revised complete papers and 21 revised brief papers provided including 1 invited lecture have been rigorously 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, desktop studying, information mining, wisdom discovery, smooth computing, imaginative and prescient and photo processing, and AI applications.
Read Online or Download AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, PDF
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Extra info for AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008,
In recent years, the AI researchers try to rebuild the theory of bargaining and negotiation in order to model logical reasoning behind a bargaining process. Kraus et al. introduced a logical model of negotiation based on argumentation theory [6,7]. Unlike game theory, the model allows explicit representation of negotiation items, promises, threats and arguments. More importantly, bargaining process can be embedded into logic-based multi-agent systems so that negotiation becomes a component of agent planning.
In the case for negation, note that [Fg(p)]¬ϕ is not equivalent to ¬[Fg(p)]ϕ, and note the correspondence with deterministic forgetting by abbreviation. The epistemic operator commutes with the forgetting operator. Thus the consequences of forgetting are known before it takes place (‘no miracles’). We emphasize that the negated epistemic operator (for ‘possible that’) does not commute with forgetting ([Fg(p)]¬Kϕ is not equivalent to ¬K[Fg(p)]ϕ); therefore, K cannot be eliminated. 2 It follows that the axiomatization FG is sound and complete.
Reaching agreements through argumentation: a logical model and implementation. Artiﬁcial Intelligence 104, 1–69 (1998) 7. : Agents that reason and negotiate by arguing. Journal of Logic and Computation 8(3), 261–292 (1998) 8. : Strategic trading agents via market modeling. ACM SIGecom Exchanges, Special Issue on Trading Agent Design and Analysis 4(3), 46–55 (2004) 9. : Logical foundations of negotiation: strategies and preferences. In: Proceedings of the 9th International Conference on the Principles of Knowledge Representation and Reasoning (KR 2004), pp.
AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008, by Wayne Wobcke, Mengjie Zhang