Download Advances in Artificial Intelligence -- IBERAMIA 2014: 14th by Ana L.C. Bazzan, Karim Pichara PDF

By Ana L.C. Bazzan, Karim Pichara

This publication constitutes the refereed complaints of the 14th Ibero-American convention on synthetic Intelligence, IBERAMIA 2014, held in Santiago de Chile, Chile, in November 2014. The sixty four papers provided have been conscientiously reviewed and chosen from 136 submissions. The papers are prepared within the following topical sections: wisdom engineering, wisdom illustration and probabilistic reasoning making plans and scheduling normal language processing computer studying fuzzy platforms wisdom discovery and knowledge mining bio-inspired computing robotics imaginative and prescient multi-agent platforms agent-based modeling and simulation AI in schooling, affective computing, and human-computer interplay purposes of AI and ambient intelligence.

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Ti yi #i , . . , η1 #1 wAγ ⇒ ηk , . . , yi #i , . . , η1 #1 wαγ ⇒ ηk , . . , ts yj #j , . . M. Casta˜no ∗ The reflexive and transitive closure of ⇒ is denoted, as usual by ⇒. We define the ∗ language L of a MGIG, G, L(G) to be: {w|#S ⇒ #w, where w is in T ∗ } and we call L a MGIL. It is clear that the acceptance condition relies on the sequence of stacks to be empty. In other words, all the dependencies have to be matched. It should be noted that MGIGs (unlike GIGs) require a regular backbone for push and pop productions.

This is the case because the values of these parameters can be ignored at completion. There are three positional indexes, which determine the classic cubic time of Earley for CFLs. g. O(nf ·(r+1) ) [9] ) in the sense that the deterk-1 mining factor is the number of multiple stacks used. It is also similar to O(n3·2 ) time complexity of multiple context-free grammars[24] (or the equivalent multiple pushdown automata). M. Casta˜no dependencies have to be set by the grammar and transmitted in the derivation through the spine.

Efficient parsing of well-nested linear context-free rewriting systems. In: Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, HLT 2010, pp. 276–284. Association for Computational Linguistics, Stroudsburg (2010) 10. : A geometric hierarchy of languages. Journal of Computer and System Sciences 8(2), 142–157 (1974) 11. : The complexity of recognition of linguistically adequate dependency grammars. In: Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics, pp.

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