Affective Computing and Intelligent Interaction by Zhang Xue, Zhang Qing-pu (auth.), Jia Luo (eds.)

By Zhang Xue, Zhang Qing-pu (auth.), Jia Luo (eds.)

2012 overseas convention on Affective Computing and clever interplay (ICACII 2012) was once the main entire convention all in favour of a number of the points of advances in Affective Computing and clever interplay. The convention supplied an extraordinary chance to compile all over the world educational researchers and practitioners for replacing the most recent advancements and functions during this box comparable to clever Computing, Affective Computing, desktop studying, enterprise Intelligence and HCI.

This quantity is a suite of 119 papers chosen from 410 submissions from universities and industries around the globe, in keeping with their caliber and relevancy to the convention. the entire papers were peer-reviewed by way of chosen specialists.

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1 Introduction As a leading agricultural country, China ranks Top 10 in the world in terms of main agricultural products, and ranks first in vegetable and fruit productions. Meanwhile, due to its large population, China witnesses a huge consumption in various agricultural products. Therefore, the logistics of agricultural products, as a bridge between production and consumption, weighs significantly important. According to statistics, the decay rate of vegetable and fruit in logistics accounts for 25%-30% in the whole chain.

According to above approach, the decision tree was constructed based on emotion set EM (see figure 1). It can be seen from the emotion decision tree constructed, although the dimensions in different branches are not necessarily the same, the maximum appraisal dimension number of any emotion is no greater than 4. This significantly lowered the theoretical dimension number of SCT (which is 11), and greatly accelerated the process of emotion determination. On the other hand, it brings about a consequence that there may be misjudgments when facing some unknown type of emotions.

Zhou, J. Jiang, and B. Liu Acknowledgment. This paper is sponsored by 2009 Youthful Funding Project for Supply Chain Risk Management Based on Financial Econometrics Technology of Beijing Wuzi University, and Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality (PHR200906210, PHR201007145, PHR200907134), Beijing Philosophy and Social Science Planning Project (09BaJG258) Funding Project for Base Construction of Scientific Research of Beijing Municipal Commission of Education (WYJD200902).

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