Download 7th International Conference on Practical Applications of by Yves Demazeau, Juan Pavón, Juan Manuel Corchado Rodríguez, PDF

By Yves Demazeau, Juan Pavón, Juan Manuel Corchado Rodríguez, Javier Bajo

ISBN-10: 3642004865

ISBN-13: 9783642004865

PAAMS, the foreign convention on functional functions of brokers and Multi-Agent structures is an evolution of the foreign Workshop on sensible purposes of brokers and Multi-Agent structures. PAAMS is a global every year tribune to offer, to debate, and to disseminate the most recent advancements and crucial results concerning real-world purposes. It presents a special chance to convey multi-disciplinary specialists, teachers and practitioners jointly to switch their adventure within the improvement of brokers and Multi-Agent structures. This quantity offers the papers which were permitted for the 2009 version. those articles catch the main leading edge effects and this yr s traits: Assisted Cognition, E-Commerce, Grid Computing, Human Modelling, info platforms, wisdom administration, Agent-Based Simulation, software program improvement, Transports, belief and safeguard. each one paper has been reviewed by way of 3 varied reviewers, from a global committee composed of sixty four individuals from 20 diversified nations. From the ninety two submissions acquired, 35 have been chosen for complete presentation on the convention, and 26 have been permitted as posters.

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Extra info for 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'09) (Advances in Intelligent and Soft Computing)

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Table 1 shows an example of the results delivered by the planning mechanism for both systems. An agenda is a set of non organized tasks that must be scheduled by means of the planning mechanism or the planner service. There were 30 defined agendas each with 50 tasks. Tasks had different priorities and orders on each agenda. Tests were carried out on 7 different test groups, with 1, 5, 10, 15, 20, 25 and 30 simultaneous agendas to be processed by the planning mechanism. 50 runs for each test group were performed, all of them on machines with equal characteristics.

References 1. : A conversational approach to the interaction with Web Services. In: Computational Intelligence, vol. 20, pp. 693–709. Blackwell Publishing, Malden (2004) 2. : Intentions, plans and practical reason. Harvard University Press, Cambridge (1987) 3. : Plans and resource-bounded practical reasoning. In: Computational Intelligence, vol. 4, pp. 349–355. Blackwell Publishing, Malden (1988) 4. : A Comprehensive Modeling Framework for Collaborative Networked Organizations. Journal of Intelligent Manufacturing 18(5), 529– 542 (2007) 5.

The sets of values studied at every moment are (23, 11, 1) (11, 5, 1) (17, 8, 1) (14, 7, 1) (20, 10, 1) (18, 9, 1). The end result is given by (18, 9, 1) therefore, the number of neurons in the final layer is 9. The output layer consists of a single neuron, whose output value is the time prediction. Learning consists of an unsupervised learning phase for the middle layer and other supervised learning phase for the output layer. A cross-validation is carried out at the training phase by varying the number of neurons in the intermediate layer in case of no new results obtained.

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