AI 2010: Advances in Artificial Intelligence: 23rd by Sebastian Haufe, Michael Thielscher (auth.), Jiuyong Li PDF

By Sebastian Haufe, Michael Thielscher (auth.), Jiuyong Li (eds.)

ISBN-10: 3642174310

ISBN-13: 9783642174315

ISBN-10: 3642174329

ISBN-13: 9783642174322

This ebook constitutes the refereed lawsuits of the twenty third Australasian Joint convention on man made Intelligence, AI 2010, held in Adelaide, Australia, in December 2010. The fifty two revised complete papers offered have been rigorously reviewed and chosen from 112 submissions. The papers are prepared in topical sections on wisdom illustration and reasoning; info mining and information discovery; computing device studying; statistical studying; evolutionary computation; particle swarm optimization; clever agent; seek and making plans; common language processing; and AI applications.

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Read Online or Download AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings PDF

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Extra info for AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings

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387–394 (1991) 3. : A qualitative markov assumption and its implications for belief change. In: UAI, pp. 263–273 (1996) 4. : Modeling belief in dynamic systems, part ii: Revisions and update. AI/0307071 (2003) 5. : Belief update revisited. In: IJCAI, pp. 2517–2522 (2007) 6. : Modeling belief in dynamic systems, part i: Foundations. AI/0307070 (2003) 7. : A survey of ranking theory. , Schmidt-Petri, C. ) Degrees of Belief. An Anthology. Oxford University Press, Oxford (2005) 8. : The Logic of Decision, 2nd edn.

We define D := {X | X = αi ∅ } for an arbitrary (non- i∈I empty) indexing set I and an arbitrary formula αi . Then we define cl(X) := {Y ∈ D | X ⊆ Y }. We define the following constants and operations on P (M ): for any X, Y ∈ P (M ), 1. 2. 3. 4. 5. 6. 7. 8. γ : 1 k 1 k formulas}. ˆ Sequence-indexed valuations v d for all dˆ ∈ SE are mappings from the set of all ˆ ˆ propositional variables to D such that v d (p) := p d. , 1, ˙ ∧, Proposition 10. The structure D := D, →, ˙ ∗, forms an intuitionistic phase structure.

Certainly, one of applicable solutions might be to watch for updates of slot values and trigger proper reactions within OnFilled-like event handlers. However, this approach has two drawbacks: 1) (implementationrelated) once the logics gets more complicated, it will be hard to keep track of where to “jump“ next within a frame, and 2) (theoretical-related) this approach is well applicable for flat frames only. As a response, we have developed a journaling system as an extension to the common construction of frames, that enables us: 1) to detect no longer valid information after the user makes changes within a dialogue, and 2) to “rollback“ nested frames structure in accordance with the changes made, hence, putting the structure into a causally consistent state.

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AI 2010: Advances in Artificial Intelligence: 23rd Australasian Joint Conference, Adelaide, Australia, December 7-10, 2010. Proceedings by Sebastian Haufe, Michael Thielscher (auth.), Jiuyong Li (eds.)


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