Current Topics in Artificial Intelligence: 12th Conference by Daniel Borrajo, Luis Castillo, Juan Manuel Corchado

By Daniel Borrajo, Luis Castillo, Juan Manuel Corchado

This publication constitutes the refereed complaints of the twelfth convention of the Spanish organization for synthetic Intelligence, CAEPIA 2007, held in Salamanca, Spain, in November 2007, along side the seventh Workshop on synthetic Intelligence know-how move, TTIA 2007.

The 28 revised complete papers provided have been conscientiously chosen in the course of rounds of reviewing and development from 134 submissions. The papers deal with all present problems with man made intelligence starting from methodological and foundational elements to complex functions in a number of fields.

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We compare the sets of relevant concepts that were manually-identified by the human annotator with the sets of retrieved concepts. We consider that traditional measures of Information Retrieval are not appropriate for this comparison, because they are unable to deal with the subsumption relation between concepts, which is essential when abstractions are tackled. For the same reason, we do not regard other measures of DUC 6 summary evaluation like ROUGE and BLEU either. Consequently, we propose the following extensions of recall and precision.

The communication among agents is operating via FIPA platform. Fig. 1. 2). 1 Reasoning Model The individual model has the student features. The information collected that is important to define the suitable student to recommend is: Social Profile, Acceptance Degree, Affective State (Emotion for Self and Emotion for Outcome), Learning Style, Personality Traits, Credibility and Student Action Outcome (Performance). The Social Profile and the Acceptance Degree were detailed in [11]. The socio-affective agent selects the action that maximizes this value when deciding how to act.

In this example, the set of concepts under consideration is composed by the 18 senses corresponding to the words of the co-occurrence3 and the multi-word nominal concept weapon of mass destruction.. Figure 1 graphically summarize the retrieval process. The boxes in the figure represent obtained clusters, which are sorted regarding the ranking function (scores are under the boxes). 082 (the 90th-percentile of the pairwise similarities between the senses). It can be seen in the figure that the first cluster covers 4/6 of the words in the co-occurrence.

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