By Yu Zhang (auth.), De-Shuang Huang, Vitoantonio Bevilacqua, Juan Carlos Figueroa, Prashan Premaratne (eds.)
This publication constitutes the refereed convention lawsuits of the ninth overseas convention on clever Computing, ICIC 2013, held in Nanning, China, in July 2013. The seventy four revised complete papers awarded have been conscientiously reviewed and chosen from a variety of submissions and are geared up in topical sections on neural networks, nature encouraged computing and optimization, cognitive technological know-how and computational neuroscience, wisdom discovery and information mining, evolutionary studying and genetic algorithms desktop studying concept and strategies, normal language processing and computational linguistics, fuzzy concept and types, tender computing, unsupervised and bolstered studying, clever computing in finance, clever computing in petri nets, clever info fusion and knowledge protection, digital truth and machine interplay, clever computing in development attractiveness, clever computing in picture processing, clever computing in robotics, complicated platforms idea and methods.
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Additional resources for Intelligent Computing Theories: 9th International Conference, ICIC 2013, Nanning, China, July 28-31, 2013. Proceedings
In Fig. 2, all cases of the final states of a 2-hunter ( ) and one prey pursuit problem are shown. ○ Fig. 2. Final states of a pursuit problem: ○ denotes hunter, ● prey Here we propose a novel dynamic emotion model to drive hunters to capture a prey. Definition 1. Emotion of a hunter is limited with one factor: PLEASURE. Definition 2. AROUSAL provides the multiplier effect to the emotion factor PLEASURE. A Model of Emotional Intelligent Agent for Cooperative Goal Exploration Pleasure Pleasure (+) H H 0 0 (a) H P : prey j i 0 0 : hunter 25 0 0 (b) Square: vision (perceptible and effect) area of a hunter Fig.
7 Mutation Mechanism Each Pwj ( gen) in probability matrix Pmatrix ( gen) changes gradually from initial values to 0 or 1 when gen increases to a large value. This means the population diversity and exploration ability are decreased with the increase of gen . Inspired by Bajula’s work , we propose a mutation operator to disturb the probability matrix. Denote α m ( gen) the mutation rate at generation gen and set α m ( gen) = α ( gen) / 2 . The process of the proposed mutation mechanism can be described as follows: Step 1: Randomly select u, v and q, where u ≠ v ≠ q .
31–38, 2013. © Springer-Verlag Berlin Heidelberg 2013 32 2 Y. Shi, H. Liu, and J. Sun Grey Whitenization Weight Function The grey system is expressed by grey numbers, grey equations, grey matrixes and grey functions, and the grey number is the basis element [6-12]. Due to the limitations of cognitive ability in the research to the complex system, it is difficult to fully recognize the system, but only get some system elements or the range of indicators, these numbers(elements or indicators) are named as grey number, and usually expressed by “ ⊗ ”.