Artificial intelligence: methodology, systems and by Daniel Dochev, Paolo Traverso, Marco Pistore

By Daniel Dochev, Paolo Traverso, Marco Pistore

This ebook constitutes the refereed court cases of the thirteenth overseas convention on synthetic Intelligence: technique, platforms, and purposes, AIMSA 2008, held in Varna, Bulgaria in September 2008.

The 30 revised complete papers awarded including the ten posters have been conscientiously reviewed and chosen from 109 submissions. The papers are geared up in topical sections on brokers; usual language processing and textual content research; desktop studying and knowledge retrieval; wisdom illustration and reasoning; constraints, heuristics and seek; purposes; posters.

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We have shown how this definition can be applied in the multi-agent case. However, formulas which are considered as relevant are too many. So, we have given a method selecting the most relevant ones. There are several extensions to this work. First, event if it is done in the case of clauses or cubes, giving a semantic characterization of the most relevant information remains to be done for general formulas. Studying the properties of these formulas will be possible only when this is done. Secondly, in the case of multiple choice requests, it would be interesting to define degrees of relevance.

Let ϕ1 and ϕ2 be two cubes (literals conjunction). We define: ϕ1 ≤Cu ϕ2 iff ϕ1 → ϕ2 Proposition 13. ≤Cu is a preorder. If we consider that relevant information are cubes, the most relevant are the maxima with that preorder. Indeed, the maxima of this preorder are prime implicants 6 [7] of Q and ¬Q. This corresponds to information that contain only necessary elements to answer the information need. Relevance degrees can also be defined by taking successive maxima. For example, let us suppose that RQ a = {p, q, p ∧ q, r ∧ s, p ∧ q ∧ r}.

The reader should note that we have defined a ω n new operator, the |x | , with which we can define an activity that can be concurrently instantiated and executed more than one times (n times). Initially, the statechart has only one state named after the left-hand side of the first liveness formula of the role model (probably named after the agent type). Then, this state acquires substates. The latter are constructed reading the right hand side of the liveness formula from left to right, and substituting the operator found there with the relevant template in Table 1.

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