Affective computing
A multilayer personality model
Proceedings of the 2nd international symposium on Smart graphics
Learning extraction patterns for subjective expressions
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
An aggregated clustering approach using multi-ant colonies algorithms
Pattern Recognition
Mining changes in customer behavior in retail marketing
Expert Systems with Applications: An International Journal
Modeling emotions and other motivations in synthetic agents
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Ant system: optimization by a colony of cooperating agents
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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Affective computing has got some well results in some fields such as artificial intelligence, virtual reality, human-computer interaction, pattern recognition. But those affective models are presented from a one-dimensional angle, and autonomous regulation is in charge of the affective running which prevents further improvement for the affective process efficiency. In the paper, Employing travelers' affection as a case this study proposes an affective thinking model based on ant colony strategy to help affection running. In this model, we introduce an affection space to satisfy traveler's affection features by considering two different aspects: tourism products and tourism consumption. A satisfied thinking running model is proposed in the affective space which are known as affection thinking and we defined some different features in affection thinking. Meanwhile, in order to better intelligentize the model, we employ ant colony to do the affection process which results in a new approach: affection ant colony. We adopt the VTA case under the WSMO to test, and the results show that this approach is not only efficient, but also is better than others approaches.