Advances in Artificial Intelligence – IBERAMIA 2004: 9th by Rubén Fuentes, Jorge J. Gómez-Sanz, Juan Pavón (auth.), PDF

By Rubén Fuentes, Jorge J. Gómez-Sanz, Juan Pavón (auth.), Christian Lemaître, Carlos A. Reyes, Jesús A. González (eds.)

ISBN-10: 3540238069

ISBN-13: 9783540238065

ISBN-10: 3540304983

ISBN-13: 9783540304982

This ebook constitutes the refereed lawsuits of the ninth Ibero-American convention on synthetic Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004.

The ninety seven revised complete papers offered have been conscientiously reviewed and chosen from 304 submissions. The papers are prepared in topical sections on disbursed AI and multi-agent structures, wisdom engineering and case-based reasoning, making plans and scheduling, computing device studying and information acquisition, usual language processing, wisdom illustration and reasoning, wisdom discovery and knowledge mining, robotics, machine imaginative and prescient, uncertainty and fuzzy platforms, genetic algorithms and neural networks, AI in schooling, and miscellaneous topics.

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New PDF release: Advances in Artificial Intelligence – IBERAMIA 2004: 9th

This ebook constitutes the refereed lawsuits of the ninth Ibero-American convention on man made Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004. The ninety seven revised complete papers offered have been conscientiously reviewed and chosen from 304 submissions. The papers are geared up in topical sections on dispensed AI and multi-agent structures, wisdom engineering and case-based reasoning, making plans and scheduling, computer studying and data acquisition, traditional language processing, wisdom illustration and reasoning, wisdom discovery and information mining, robotics, machine imaginative and prescient, uncertainty and fuzzy platforms, genetic algorithms and neural networks, AI in schooling, and miscellaneous issues.

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Extra resources for Advances in Artificial Intelligence – IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004. Proceedings

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ESIT(2000) 12. Alexander Huber and Bernd Ludwig: A Natural Language Multi-Agent System for Controlling Model Trains. pdf (2002) 13. M. Antoniotti and A. Göllü: SHIFT and SMART-AHS: A Language for Hybrid System Engineering, Modeling and Simulation. , Crta. es Abstract. Real-time multimedia streaming applications are becoming increasingly popular on the Internet; however, the users of these streaming services often find their quality to be insufficient. When the services are based on multipoint videoconferencing, it is difficult to reach a constant, suitable level of quality on the video transmissions.

Figure 3 (left) shows the average frame ratio reached for two simultaneous videoconferences using different JPEG qualities: (x & z axes). Figure 3 (right) shows the videoconferencing qualities (Q) obtained, where FPSt varies from 0 to 15 and JPGt varies from 0 to 1. The FPS parameter has 3 times more importance than the JPEG one. 8. The arrows inside Figure 3 (right) represent the 3 iterations the fuzzy controller executes to reach its maximum quality result. Fig. 3. Frame ratio (left) and quality (right) applying different JPEG qualities (x & z axes) In order to test the fuzzy agent’s behaviour exhaustively, we have used a network/system simulator configured to determine the different frame ratios obtained by applying 3 simultaneous videoconferences.

Extending the learning process perspective, it is our intention to apply it to actions performed by the system in result of conflict anticipations. By now, learning system has MARCS – Multi-agent Railway Control System 21 the ability to anticipate conflicts, but cannot select the best action to avoid it, and cannot also anticipate whether actions performed to avoid a specific conflict will induce other future conflicts herder to be resolved. Our work is currently focused on the analysis of the effects of actions performed to avoid conflicts, and determine those which are the optimal ones.

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Advances in Artificial Intelligence – IBERAMIA 2004: 9th Ibero-American Conference on AI, Puebla, Mexico, November 22-26, 2004. Proceedings by Rubén Fuentes, Jorge J. Gómez-Sanz, Juan Pavón (auth.), Christian Lemaître, Carlos A. Reyes, Jesús A. González (eds.)


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