By Michal Pěchouček (auth.), Yves Demazeau, Frank Dignum, Juan M. Corchado, Javier Bajo Pérez (eds.)
PAAMS, the foreign convention on sensible functions of brokers and Multi-Agent structures is a global each year degree to offer, to debate, and to disseminate the most recent advances and an important results regarding real-world purposes. It offers a distinct chance to convey multi-disciplinary specialists, teachers and practitioners jointly to replace their adventure within the improvement of brokers and Multi-Agent structures. This quantity provides the papers which were authorized for the 2010 version. those articles trap the main leading edge effects and this year’s advances. each one paper has been reviewed via 3 assorted reviewers, from a global com-mittee composed of eighty two contributors from 26 diversified nations. From the sixty six submissions acquired, 19 have been chosen for complete presentation on the convention, and 14 have been authorized as brief papers. additionally, PAAMS'10 included distinct classes and workshops to counterpoint the usual software, which incorporated eighty five accredited papers.
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Extra info for Advances in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2010)
However, when using GPU the plot shows a flat slope. Beyond a given threshold, the average response time is not increased because all the collisions tests are performed in parallel in the GPU. Additionally, Figure 3 b) shows that the CPU-based crowd simulation can support up to 3500 agents while providing average response times below the 250 milliseconds threshold. When GPU is used, the number of agents supported grows up to 5300 agents, providing an improvement of a 50%. Taking into account that this improvement can 22 G.
Noise reduction in a statistical approach to text categorization. In: Proc. of the SIGIR 1995, pp. 256–263 (1995) An Architecture for the Design of Context-Aware Conversational Agents David Griol, Nayat S´anchez-Pi, Javier Carb´o, and Jos´e M. Molina Abstract. In this paper, we present a architecture for the development of conversational agents that provide a personalized service to the user. The different agents included in our architecture facilitate an adapted service by taking into account context information and users specific requirements and preferences.
One of the first projects was AARON , an expert system painter, which was able to create original drawings that represented scenes that were understandable and appreciated by humans. Although this project involved a creative artificial intelligence, the goal was to make it autonomously create finalized pieces of art. The project we are concerned with consists, on the contrary, in creating a dynamic – thus never completed – exhibition. Projects that use AI paradigms such as cognitive reasoning and multi-agent systems for developing dynamic and interactive media production already exist.
Advances in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS 2010) by Michal Pěchouček (auth.), Yves Demazeau, Frank Dignum, Juan M. Corchado, Javier Bajo Pérez (eds.)