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By Abdelhamid Mellouk

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ICANN 2002, Madrid, Spain, pp. 27-30. DC. (1961). A proof of the Queueing Formula L=λW, Operations Research. , (2007). “An efficient routing scheme with optimal power control in wireless multi-hop sensor networks”, Computer Communications, vol. 30, no. 14-15, pp. 2735-2743. , (2007). Impact of Adaptive Quality of Service Based Routing Algorithms in the next generation heterogeneous networks, IEEE Communication Magazine, IEEE Press, vol. 45, n°2, pp. 65-66. , (2008). , Vol. 31, n°11, pp. 2706-2715.

Reinforcement Learning. Ed. MIT Press. , (2005). "BeeAdHoc: an energy efficient routing algorithm for mobile ad hoc networks inspired by bee behavior", In Genetic And Evolutionary Computation Conference Proceedings, pp 153-160. 2 Cooperative Agent Learning Model in Multi-cluster Grid Qingkui Chen, Songlin Zhuang and He Jia, XiaoDong Ding School of Computer Engineering, University of Shanghai for Science and Technology China 1. The computer based on cooperative work environments is playing the more and more important role in the business behavior of the enterprise today.

Computer cluster (CC) is defined as CC (Ma, CS), where Ma denotes the main computer of CC; CS= {CN1, CN2…CNp} denotes the set of all computing nodes which CC includes; Computing Agent (CA) is defined as CA (id, PRG, BDI, KS, CE), where id denotes the identifier of CA; PRG denotes the executable program set of CA; BDI is the description of its BDI; KS is its knowledge set; CE is its configuration environment. CA is the basic element of executing computation task and support STM. If CA could complete the task independently, we call it the independent computing agent (ICA).

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