Download e-book for iPad: AI 2016: Advances in Artificial Intelligence: 29th by Byeong Ho Kang, Quan Bai

By Byeong Ho Kang, Quan Bai

ISBN-10: 3319501267

ISBN-13: 9783319501260

ISBN-10: 3319501275

ISBN-13: 9783319501277

This publication constitutes the refereed complaints of the twenty ninth Australasian Joint convention on synthetic Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016.

The forty complete papers and 18 brief papers offered including eight invited brief papers have been rigorously reviewed and chosen from 121 submissions. The papers are equipped in topical sections on brokers and multiagent structures; AI functions and options; mammoth information; constraint delight, seek and optimisation; wisdom illustration and reasoning; computing device studying and knowledge mining; social intelligence; and textual content mining and NLP.

The court cases additionally includes 2 contributions of the AI 2016 doctoral consortium and six contributions of the SMA 2016.

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Read or Download AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings PDF

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Extra info for AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings

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13–42. Princeton University Press, New Jersey (1959) 13. : Fluxplayer: a successful general game player. In: Proceedings of AAAI 2007, pp. 1191–1196. AAAI Press (2007) 14. : Creating action heuristics for general game playing agents. , Togelius, J. ) CGW/GIGA -2015. CCIS, vol. 614, pp. 149–164. Springer, Heidelberg (2016). 1007/978-3-319-39402-2 11 15. : A logic for reasoning about game strategies. In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15), pp. 1671–1677 (2015) Corrupt Strategic Argumentation: The Ideal and the Naive Michael J.

In particular, O cannot simply “give up” and fail to make a move – such behaviour would open her to charges of incompetence or corruption. Instead, she must exhaust her possible moves. The Winning Sequence Problem for P Instance A split argumentation framework (ACom , AP , AO , outcome for P . Question Is there a sequence of moves such that P wins? ) and a desired This problem can be solved by a non-deterministic algorithm that guesses moves for P and O and uses oracles for the aim verification problem for P and O and the (complement of) the desired outcome problem for O.

We say there a2 or a2 a1 . An is a conflict between arguments a1 and a2 if either a1 extension E is conflict-free if the restriction of to E is empty. The naive extensions are the maximal conflict-free extensions. The stage extensions are the conflict-free extensions that are maximal under the containment ordering of E ∪ E − . Alternatively, the stage extensions are the conflict-free extensions that minimize the set of undecided arguments. An argument a is defended by E if every argument that attacks a is attacked by some argument in E.

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AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint Conference, Hobart, TAS, Australia, December 5-8, 2016, Proceedings by Byeong Ho Kang, Quan Bai


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