By Yves Demazeau, Franco Zambonelli, Juan M. Corchado, Javier Bajo (eds.)
This ebook constitutes the refereed court cases of the twelfth overseas convention on sensible purposes of brokers and Multi-Agent structures, PAAMS 2014, held in Salamanca, Spain, in June 2014. The 12 revised complete papers and 14 brief papers have been rigorously reviewed and chosen from fifty two submissions and are provided including 19 demonstrations. The papers file at the software and validation of agent-based types, equipment, and applied sciences in a few key program parts, together with: agent-oriented software program engineering, conversations, movement coordination and unmanned aerial automobiles, net and repair structures, robotics exploration, clever towns and infrastructures, and social systems.
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Extra resources for Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection: 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings
If so, control is passed to the conversational behavior that supports natural language communication. Otherwise, it chooses the plan to be realised. It identiﬁes cooperative situations in the collective activity where the agent can not progress without assistance. That is, if preconditions for one of the CCPs is satisﬁed, the control is passed to the conversational behavior. Otherwise, if the agent has an action to be performed that uses a resource, the control is passed to the resource allocation mechanism.
Fast and accurate map merging for multi-robot systems. Autonomous Robots 25, 305–316 (2008) 10. : Merging maps of multiple robots. In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1–4. IEEE (2008) 11. : A novel map merging methodology for multi-robot systems. In: Proceedings of the World Congress on Engineering and Computer Science, pp. 383–387 (2010) 12. : Occupancy Grid Map Merging Using Feature Maps. DTIC Document (2010) 13. : Map merging for distributed robot navigation.
1) determines a person’s functional state as a dynamical state, which is a function of task properties and personal characteristics over time. The model is based on two different theories: (1) the cognitive energetic framework , which states that effort regulation is based on human resources and determines human performance in dynamic conditions, and (2) the idea that when performing physical exercise, a person’s generated power can be maintained at some maximal (critical power) level without leading to more exhaustiveness .
Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection: 12th International Conference, PAAMS 2014, Salamanca, Spain, June 4-6, 2014. Proceedings by Yves Demazeau, Franco Zambonelli, Juan M. Corchado, Javier Bajo (eds.)