Download Multi-disciplinary Trends in Artificial Intelligence: 9th by Antonis Bikakis, Xianghan Zheng PDF

By Antonis Bikakis, Xianghan Zheng

This e-book constitutes the refereed convention complaints of the ninth foreign convention on Multi-disciplinary developments in man made Intelligence, MIWAI 2015, held in Fuzhou, China, in November 2015.

The 30 revised complete papers provided including 12 brief papers have been conscientiously reviewed and chosen from eighty three submissions. The papers characteristic quite a lot of subject matters masking wisdom illustration, reasoning, and administration; multi-agent structures; facts mining and desktop studying; desktop imaginative and prescient; robotics; AI in bioinformatics; AI in safety and networks; and different AI applications.

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Extra info for Multi-disciplinary Trends in Artificial Intelligence: 9th International Workshop, MIWAI 2015, Fuzhou, China, November 13-15, 2015, Proceedings

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Model Construction Input. A positive extended disjunctive deductive database (P ) Output. P-minimal models for P . Method : The values are computed by the following steps: 1. (Initialization) (a) Compute EQN(PI ) using the algorithm SERIALIZE for each clause in PI . Construction of P-Minimal Models Using Paraconsistent Relational Model 25 (b) SModel = ∅, For each predicate symbol p in PE , set p+ = {(a1 . . ak) | p(a1 . . , ak) ∈ PE∗ }, and p− = ∅ or p− = {(a1 . . ak) | ¬p(a1, . . ak) ∈ PE∗ } and p+ = ∅ SModel = p End for.

P-models : rewrite the set of relations in SModel as a set of literals. P-minimal models = min(P-models) (min() is defined in Preliminaries). It is very intuitive from the algorithm that if the computation of DUr is empty for any SModel, then discard the SModel. We found that the algorithm should be extended a little to accommodate for disjunctive facts, duplicate variables in disjunctive literals, and constants in disjunctive literals. The following example shows that how the algorithm works. 26 B.

3, we explain the disjunctive paraconsistent relational model; in Sect. 4, we propose an algorithm to find p-minimal models; in Sect. 5, we state the conclusion and future work for the paper. 2 Preliminaries Before we explain the details of the actual contribution of this paper, we must briefly review positive extended disjunctive deductive databases [16,17] and the paraconsistent relation model [5,6] which help to understand the paper. Given a first order language , a disjunctive deductive database P [16] consists of logical inference rules of the form: r (rule) = l0 ∨ · · · ∨ ln ← ln+1 , .

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