Download e-book for iPad: AI 2015: Advances in Artificial Intelligence: 28th by Bernhard Pfahringer, Jochen Renz

By Bernhard Pfahringer, Jochen Renz

ISBN-10: 3319263498

ISBN-13: 9783319263496

ISBN-10: 3319263501

ISBN-13: 9783319263502

This publication constitutes the refereed court cases of the twenty eighth Australasian Joint convention on synthetic Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015.

The 39 complete papers and 18 brief papers offered have been rigorously reviewed and chosen from 102 submissions.

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Read or Download AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings PDF

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Extra info for AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings

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Chandra The organization of the rest of this paper is as follows. Section 2 describes the proposed method and its application to the different classes of problems. Experimental results and their analysis are provided in Sect. 3. Section 4 concludes the paper with discussion of future work. 2 Multi-island Competitive Cooperative Coevolution In this section, we provide details of the Multi-Island Competitive Cooperative Coevolution (MICCC) algorithm that enforces competition and collaboration between various different problem decomposition strategies that are implemented as islands.

During interaction, solutions of the winner island is migrated to those who lose the competition. The key aspects of the MICCC algorithm are initialization, evolution, competition and collaboration. 1 37 Initialization In MICCC, a problem decomposition strategy is implemented as an island. To enforce an unbiased competition, all the islands begin search with the same genetic materials in the population. At the beginning, all the sub-populations of Island One are initialized with random-real number values from a domain specified in Table 1.

Theorem 12. Let L be a DL that contains ALCI or SH and is contained in SHIQ, SHOQ, or SHOI. t. t. data complexity. Proof. The lower bound directly follows from 2-Exp-hardness of CQ entailment in SH [15] and ALCI [21]. t. a TKB K, 30 F. Baader et al. we first enumerate all possible sets S and mappings ι, which can be done in 2-Exp. t. t. ι and K (using Proposition 11). t. K iff at least one pair passes both tests. For the r-satisfiability test, observe that the conjunction of CQ-literals χS,ι contains exponentially many (negated) CQs, each of size polynomial in the size of φ, and that TS,ι and RS,ι are of exponential size in the size of K.

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AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings by Bernhard Pfahringer, Jochen Renz


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