Download AI 2008: Advances in Artificial Intelligence: 21st by Wayne Wobcke, Mengjie Zhang PDF

By Wayne Wobcke, Mengjie Zhang

This publication constitutes the refereed court cases 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 prepared in topical sections on wisdom illustration, constraints, making plans, grammar and language processing, statistical studying, desktop studying, information mining, wisdom discovery, delicate computing, imaginative and prescient and photograph processing, and AI applications.

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Additional resources for AI 2008: Advances in Artificial Intelligence: 21st Australasian Joint Conference on Artificial Intelligence, Auckland, New Zealand, December 3-5, 2008,

Example text

Where (Φ1 , Φ2 ) is the core of G. Proof. “⇒” Straightforward from the definition of γ(G). “⇐” For any deal D ∈ Ω(G), if Φ1 ⊆ D1 and Φ2 ⊆ D2 , then for each i, ≤π G G Xi max ⊆ Di . It follows that max{k : X1≤k ⊆ D1 and X2≤k ⊆ D2 } ≥ πmax . ≤k ≤k G Therefore max{k : X1 ⊆ D1 and X2 ⊆ D2 } = πmax . The above results show an intuitive procedure to construct a bargaining solution. First calculate the core by going through both parties’s hierarchies of demands in parallel top-down to the level at which the collective demands are maximally consistent with the common demands.

All results trivially generalize to multiple agents and multiple values (see page 26). Language, structures and semantics. Given is a set P of propositional variables. Definition 1 (Language and structures). Our language L is ϕ ::= p | ¬ϕ | ϕ ∧ ϕ | Kϕ | [Fg(p)]ϕ where p ∈ P , and our structures are pointed Kripke models ((S, R, V ), s), with R ⊆ (S × S), V : P → P(S), and s ∈ S. 1 This is different from how belief revision is modelled in dynamic epistemic (doxastic) logic. , not knowledge, and implemented by changing a preference relation between states [11,12].

Dynamic operators expressing event model execution (semantics) can be seen as part of the logical language (syntax), similar to how this is done for automata-PDL [18]. Forgetting Fg(p) is the event model that expresses that the agent cannot distinguish between two assignments having taken place: p becomes true, or p becomes false. It consists of two events, that are both points (this expresses non-determinism). Both events are always executable: their precondition is . Definition 2 (Forgetting).

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