Advanced Intelligent Computing Theories and Applications. by Lianzhi Yu, Guozheng Yan, Chunyang Wang, Wenlong Yang, Peng

By Lianzhi Yu, Guozheng Yan, Chunyang Wang, Wenlong Yang, Peng Zan, Jie Wu (auth.), De-Shuang Huang, Donald C. Wunsch II, Daniel S. Levine, Kang-Hyun Jo (eds.)

This ebook - together with the 2 volumes CCIS 0015 and LNCS 5226 - constitutes the refereed court cases of the 4th overseas convention on clever Computing, ICIC 2008, held in Shanghai, China, in September 2008.

The 136 revised complete papers have been rigorously reviewed and chosen from 2336 submissions. The papers tackle all present matters within the box of clever computing expertise, together with neural networks, evolutionary computing and genetic algorithms, fuzzy structures and delicate computing, particle swarm optimization and area of interest expertise, supervised and semi-supervised studying, unsupervised and reinforcement studying, wonderful characteristic extraction equipment, combinatorial and numerical optimization, neural computing and optimization, case dependent reasoning and autonomy-oriented computing, in addition to synthetic lifestyles and synthetic immune platforms. the quantity is rounded off via 3 particular periods on computational research and information mining in organic platforms, on info mining and fusion in bioinformatics, and on clever trend acceptance and figuring out in snapshot processing.

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Additional resources for Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence: 4th International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings

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For this reason the training phase is essential. In our framework, where the value prediction for a continuous function is required, we selected to study two types of NNs: the multilayer perceptron (MLP) NN and the Generalized Regression (GR) NN. The latter is more appropriate for on-line function approximation and is a special case of a Radial Basis Function (RBF) NN where an additional linear hidden layer is used [14]. In the studied framework, the NNs are used by usually resource limited autonomous agents, and thus the size of the NNs needs to be reduced.

Huang et al. ): ICIC 2008, LNAI 5227, pp. 27–39, 2008. © Springer-Verlag Berlin Heidelberg 2008 28 I. Papaioannou, I. Roussaki, and M. Anagnostou and detect the outcome of each negotiation thread early during the negotiation process. e. the time-dependent and the behavior-dependent ones, originally presented in [7]. The resulting strategy varies from time-dependent to behaviordependent, while any combination in-between is possible. Similar approaches of mixed strategies were not that popular in the past, but have recently started to attract the attention of the research community.

Thus, there are two negotiating parties (Client and Provider) represented by mobile intelligent agents. The agents negotiate based on an alternating offers protocol [1] aiming to maximize the utilities of the parties they represent. Let the negotiation process be initiated by the Client Agent (CA) that sends to the Provider Agent (PA) an initial Request for Proposal (RFP) specifying the features of the service/product its owner is interested to obtain. Without loss of generality, it is assumed that the issue under negotiation is the good’s price.

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