Download Advances in Practical Applications of Heterogeneous by Yves Demazeau, Franco Zambonelli, Juan M. Corchado, Javier PDF

By Yves Demazeau, Franco Zambonelli, Juan M. Corchado, Javier Bajo (eds.)

This e-book constitutes the refereed lawsuits of the twelfth foreign convention on useful purposes of brokers and Multi-Agent platforms, 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 offered including 19 demonstrations. The papers file at the program and validation of agent-based versions, equipment, and applied sciences in a few key software parts, together with: agent-oriented software program engineering, conversations, movement coordination and unmanned aerial autos, internet and repair structures, robotics exploration, clever towns and infrastructures, and social systems.

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Extra info 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

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1. Integration of Models for OFS and SA The operator functional state model construct (see top part of Fig. 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 [7], 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 [6].

In the other two environment configurations nine partial maps were created. Each m mapping run was recorded by saaving partial maps sequentially in time. An example of one such map sequence is show wn in Figure 7. Fig. 7. An example of the evo olution of one map in time T1-T5. Black cells – occupied, w white cells – free, gray cells – unkno own. Note: this is a map. 97]. The empirical tests show that locally inaccurate maps, like the ones used in further experiments, cannot be merged, if the threshold is too high.

The solution enables users to coordinate with other team members. Keywords: Human interaction with autonomous agents, Cooperation, Dialogue Management, Decision-Making, Resource Sharing. 1 Introduction In collaborative virtual environments (VE) for training, users, namely learners, work together with autonomous agents to perform a collective activity. The educational objective is not only to learn the task, but also to acquire social skills in order to be efficient in the coordination of the activity with other team members [3].

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