By Bernhard Pfahringer, Jochen Renz
This e-book constitutes the refereed complaints of the twenty eighth Australasian Joint convention on man made Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015.
The 39 complete papers and 18 brief papers awarded have been conscientiously reviewed and chosen from 102 submissions.
Read Online 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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Additional resources for AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings
Worst-case complexity, adding a temporal dimension often comes for free. In fact, in all sublogics of SHOIQ, the upper bounds for the combined complexity of TCQ entailment obtained in this paper for the temporal case coincide with the best known upper bounds for atemporal query entailment (even in the presence of rigid roles). From the application point of view, data complexity is more important since the amount of data is often very large, and in comparison the size of the background knowledge and the user query is small.
The MICCC algorithm ensures that diﬀerent problem decomposition strategies are given an opportunity during the course of evolution. In a uniform problem decomposition strategy, a problem is divided into equal sized subcomponents. Conversely, non-uniform problem decomposition strategies contain a range of diﬀerent sized subcomponents. It has yet not been established on to what extent MICCC can be eﬀective if it is employed with a larger pool of islands. There has not been any investigation on the impact of having a hybrid pool of uniform and non-uniform problem decomposition strategies.
T. K can be decided by a nondeterministic algorithm in time bounded by p( , o, |A|) for some polynomial p. Proof. t. K to a UCQ non-entailment problem. We instantiate the positive CQs ρ1 , . . , ρ by omitting the existential quantiﬁers and replacing all variables by fresh individual names. The set Aρ of all resulting assertions can be viewed as an additional ABox. To ensure that the UNA is satisﬁed, we additionally consider equivalence relations ≈ on Ind(A ∪ Aρ ) with the additional restriction that no two names from Ind(A) may be equivalent.
AI 2015: Advances in Artificial Intelligence: 28th Australasian Joint Conference, Canberra, ACT, Australia, November 30 -- December 4, 2015, Proceedings by Bernhard Pfahringer, Jochen Renz