Artificial Intelligence Applications and Innovations III by Nikolaos G. Bourbakis (auth.), Iliadis, Maglogiann,

By Nikolaos G. Bourbakis (auth.), Iliadis, Maglogiann, Tsoumakasis, Vlahavas, Bramer (eds.)

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Table 1: Computation time for the four versions of P2P_DR 5 # peers (n) P2P_DRSA P2P_DRSWA P2P_DRPS 10 78 80 1313 2532 20 469 540 1534 4305 40 2422 3102 3466 207828 60 5719 6390 7188 - 80 10437 10302 15484 - 100 16484 15550 27484 - P2P_DRCS Conclusions and Future Work In this paper, we proposed a totally distributed approach for reasoning with mutually inconsistent rule theories in Multi-Context Systems. The proposed model uses rule theories to express local context knowledge, defeasible rules for the definition of mappings, and a preference order to express confidence in the imported context information.

All these reasons let us put a lot of effort to try to solve early diagnostic of motor pump failures problem. In this work, we propose a method to assist fault diagnoses in motor pumps using expert systems, based on vibration signal analysis. Since the number of signals to be analyzed is large and, for some fails, there are not instances available to use machine learning algorithms, we decided to investigate a method to construct a parametric net model, based on expert knowledge. The main advantage of this method is that the model can explain its decisions by showing what was the reason followed by the parametric net to fails (labels) suggestion.

Mechanical Systems and Signal Processing, 10(5):517532, 1996. Providing Assistance during Decision-making Problems Solving in an Educational Modelling Environment Panagiotis Politis1, Ioannis Partsakoulakis2, George Vouros2, Christos Fidas3 1 Dept. gr 2 Dept. gr 3 Dept. gr Abstract In this paper we present the model-checking module of decision-making models in the frame of ModelsCreator, an educational modelling environment. The model-checking module aims to assist young students to construct qualitative models for decision-making problems solving.

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