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

This publication constitutes the refereed complaints of the eleventh overseas convention on sensible purposes of brokers and Multi-Agent platforms, PAAMS 2013, held in Salamanca, Spain, in may perhaps 2013. The 14 revised complete papers and nine brief papers awarded including sixteen demonstrations have been rigorously reviewed and chosen from 70 submissions. The papers record at the software and validation of agent-based types, tools, and applied sciences in a few key program components, together with: brokers for actual international difficulties; crowd modeling and research; selection making and discovery; interplay with synthetic brokers; mobility, ubiquity and clouds; (multi-)agent layout know-how; and simulation and organization.

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2006) 14. US Energy Information: Annual Energy Review 2010, US Government Printing Office (October 2011) 15. : Agent-based simulation of electricity markets: a survey of tools. it Abstract. This paper presents MAKKSim, a pedestrian dynamics simulator based on a computational discrete model in which pedestrians are represented as utility-based agents. The computational model and the system architecture are discussed, focusing on the development of the tool and on its application in a real-word case study, for the comparison and the evaluation of different strategies of crowd management and of different structural changes on the geometry of the environment.

Within this group, the main state of the art applications use computational resources from the Cloud environment. For example, there are systems such as those described in [7][8] that use the computational strength of the environment to perform simulations in different fields. Another example is presented in [6], where the Cloud environment is used as a persistence engine for information. • Cloud using Agents. Within this subgroup, the range of possibilities is even further extended. Mong Sim [15] highlights three subgroups of applications: (i) combination of resources among Cloud providers; (ii) planning and coordination of shared resources; (iii) establishing contracts between users and Cloud service providers.

2006) 14. US Energy Information: Annual Energy Review 2010, US Government Printing Office (October 2011) 15. : Agent-based simulation of electricity markets: a survey of tools. it Abstract. This paper presents MAKKSim, a pedestrian dynamics simulator based on a computational discrete model in which pedestrians are represented as utility-based agents. The computational model and the system architecture are discussed, focusing on the development of the tool and on its application in a real-word case study, for the comparison and the evaluation of different strategies of crowd management and of different structural changes on the geometry of the environment.

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