Advances on Practical Applications of Agents and Multi-Agent by Sebastian Ahrndt, Johannes Fähndrich, Sahin Albayrak

By Sebastian Ahrndt, Johannes Fähndrich, Sahin Albayrak (auth.), Yves Demazeau, Toru Ishida, Juan M. Corchado, Javier Bajo (eds.)

This e-book constitutes the refereed complaints of the eleventh overseas convention on functional functions of brokers and Multi-Agent platforms, PAAMS 2013, held in Salamanca, Spain, in may possibly 2013. The 14 revised complete papers and nine brief papers offered including sixteen demonstrations have been conscientiously reviewed and chosen from 70 submissions. The papers record at the software and validation of agent-based versions, tools, and applied sciences in a couple of key program components, together with: brokers for actual international difficulties; crowd modeling and research; selection making and discovery; interplay with man made brokers; mobility, ubiquity and clouds; (multi-)agent layout expertise; and simulation and organization.

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Additional resources for Advances on Practical Applications of Agents and Multi-Agent Systems: 11th International Conference, PAAMS 2013, Salamanca, Spain, May 22-24, 2013. Proceedings

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The work is organised as follows: first of all, the agent-based model will be described, introducing the elements for the definition of environment, pedestrians and mechanism of movement. Then, the analysis of MAKKSim from an architectural point of view will be described (Sect. 3). The application of the platform to a real-word case study will be discussed with reference to the comparison and the evaluation of different crowd management strategies and alternative geometries of the environment for the scenario (Sec.

Seem suitable for the task. This study presents the +Cloud which is a cloud platform managed by a Multiagent System. Keywords: Cloud Computing, Multi-agent System. Allocating resources. 1 Introduction Cloud computing is being positioned as one of the main technological paradigms to have appeared in recent years. Among its most notable features [14] is its capability to offer any type of computational services; in addition to a pool of variable resources that satisfy the computational needs of the offered services.

The information related to the scenario of the simulation are represented by means of spatial markers, special sets of cells that describe relevant elements in the environment. In particular, three kinds of spatial markers are defined: (i) start areas, that indicate the generation point of agents2 in the scenario, all at once or according to a user defined frequency; (ii) destination areas, that define the possible targets of the pedestrians in the environment; (iii) obstacles, that identify all the non-walkable areas as walls and zones where pedestrians can not enter.

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