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

By Ana L.C. Bazzan, Karim Pichara

ISBN-10: 3319120263

ISBN-13: 9783319120263

ISBN-10: 3319120271

ISBN-13: 9783319120270

This booklet constitutes the refereed court cases of the 14th Ibero-American convention on man made Intelligence, IBERAMIA 2014, held in Santiago de Chile, Chile, in November 2014. The sixty four papers offered have been rigorously 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 usual language processing desktop studying fuzzy structures 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 functions of AI and ambient intelligence.

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Extra resources for Advances in Artificial Intelligence -- IBERAMIA 2014: 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings

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When no defeasible atoms and no defeasible TGDs are used in a derivation, we say the derivation is a strict derivation, otherwise it is a defeasible derivation. Note that there is non-determinism in the order in which the elements in a derivation appear. Syntactically distinct derivations are, however, equivalent for our purposes. When no confusion is possible, we assume that a unique selection has been made. We say an atom a is strictly derived from KB iff there exists a strict derivation for a from KB, denoted with KB a, and a is defeasibly derived from KB iff there exists a defeasible derivation for a from KB and no strict derivation exists, denoted with KB ∼ a.

Therefore Earley items for MGILs are as follows: [Δ, A → α • β, i, j]. , nk , where ni is a node in μ the graph structured stack and n0 ≤ nj ≤ nk for any n0 , nj , nk in Δ. In other words Δ is an ordered lists of nodes. Main properties of Earley’s algorithm for CFLs remains unchanged. We use here Parsing Schemata, a framework that allows high-level specification and analysis of parsing algorithms [17, 18]. This framework enables the analysis of relations between different parsing algorithms by means of the relations between their respective parsing schemata.

1 #1 wAγ ⇒ ηk #k , . . , η1 #1 wαγ 2. If A → α is a push production then t is inserted in the corresponding stack i where t the ui is the least element in ts greater than or equal to t, 1 ≤ i ≤ k : – if ∃ui ∈ ts : t ≤O ui ∧ (∀tj ∈ ts : t ≤O tj =⇒ ui ≤O tj ) then – – ηk , . . , ui yi #i , . . , η1 #1 wAγ ⇒ ηk , . . , ti ui yi #i , . . , η1 #1 wαγ – else ηk #k , . . , η1 #1 wAγ ⇒ tk+1 #k+1 ηk #k , . . , η1 #1 wαγ ( t is now the greatest top element in the multi-stack, and a new stack will be added at k + 1).

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Advances in Artificial Intelligence -- IBERAMIA 2014: 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings by Ana L.C. Bazzan, Karim Pichara

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