Download PDF by Byeong Ho Kang, Quan Bai: AI 2016: Advances in Artificial Intelligence: 29th

By Byeong Ho Kang, Quan Bai

ISBN-10: 3319501267

ISBN-13: 9783319501260

ISBN-10: 3319501275

ISBN-13: 9783319501277

This ebook constitutes the refereed lawsuits of the twenty ninth Australasian Joint convention on man made Intelligence, AI 2016, held in Hobart, TAS, Australia, in December 2016.

The forty complete papers and 18 brief papers awarded including eight invited brief papers have been conscientiously reviewed and chosen from 121 submissions. The papers are equipped in topical sections on brokers and multiagent platforms; AI purposes and options; significant information; constraint pride, seek and optimisation; wisdom illustration and reasoning; computing device studying and information mining; social intelligence; and textual content mining and NLP.

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

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Read Online 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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The computational difficulty of manipulating an election. Soc. Choice Welf. 6(3), 227–241 (1989) 3. : Expanding argumentation frameworks: enforcing and monotonicity results. In: COMMA, pp. 75–86 (2010) 4. : An abstract, argumentation-theoretic approach to default reasoning. Artif. Intell. 93, 63–101 (1997) 5. : A comparative study of ranking-based semantics for abstract argumentation. In: AAAI Conference on Artificial Intelligence, pp. 914–920 (2016) 6. : On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.

In addition to these aims, a player may wish to “spoil” or prevent such aims from being achieved. Such aims are the negation of the above aims. For example, the negation of the uncontested aim aims to have a not accepted in any extension or have a rejected in some extension. In this paper, player O’s aim is to prevent P ’s desired outcome; thus O’s aim is the negation of P ’s aim. In general, all these aims are distinct. However, for a unitary semantics σ (such as the ideal semantics) this variety of aims collapses: all the above aims – except the unrejected aim – collapse into one, that a is accepted in the σ-extension.

Abstract argumentation abstracts away from the structure of arguments and the conflicts between them; the resulting argumentation framework can be interpreted by many different semantics. Each semantics expresses compatibility criteria that a set of arguments must satisfy to be jointly accepted. The different semantics reflect different intuitions and principles of how conflicting arguments should be resolved. H. Kang and Q. ): AI 2016, LNAI 9992, pp. 17–28, 2016. J. Maher While [14,15] addressed many semantics for argumentation, attention was focussed on semantics based on admissibility: that for a set of arguments to be compatible it must defend itself against any attack.

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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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