Abstract
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.
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Zhou, X., Ma, H., Miao, F. (2012). An Approach of Affection Thinking Based on Ant Colony Strategy. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_27
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DOI: https://doi.org/10.1007/978-3-642-33478-8_27
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