Titlebook: Highlights of Practical Applications of Heterogeneous Multi-Agent Systems - The PAAMS Collection; PAAMS 2014 Internati Juan M. Corchado,Jav

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Paul-Eric Dossou,Pawel Pawlewski,Philip Mitchellsed on the Santa Fe artificial stock market (SF-ASM, see e.g. [1], [2],[3],[4],[5]). The model is purposely simple in order to show that a parsimonious nonlinear framework with an equilibrium model can replicate typical stock market phenomena including phases of speculative bubbles and market crashe

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Olfa Beltaief,Sameh El Hadouaj,Khaled Ghedirased on the Santa Fe artificial stock market (SF-ASM, see e.g. [1], [2],[3],[4],[5]). The model is purposely simple in order to show that a parsimonious nonlinear framework with an equilibrium model can replicate typical stock market phenomena including phases of speculative bubbles and market crashe

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Nayat Sanchez-Pi,Luis Martí,José Manuel Molina,Ana Cristina Bicharra Garciaonly relative to an institutional environment. Thus for a given environment, the Continuous Double Action (CDA) market, we examine the performance of alternative . agents, in terms of market efficiency and individual surplus..In CDA markets traders face three non-trivial decisions: How much should t

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Practical Approach and Multi-agent Platform for Designing Real Time Adaptive Scheduling Systemsoach is based on concept of demand and resource networks (DRN) where agents of demands and resources operate on virtual market and continuously trying to improve their individual values of satisfaction functions that reflects given multi-criteria objectives. To achieve the best possible results agen

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Agent-Based Modeling and Simulation for the Design of the Future European Air Traffic Management Sysagement (ATM) system. The study of the behavior of ATM systems using agent-based modeling and simulation tools can help the development of new methods to improve their performance. This paper presents an overview of existing agent-based approaches in air transportation (paying special attention to t

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Risk Management in Construction Project Using Agent-Based Simulationgement is mandatory to project success. However, implementing such a management is complex because of the diversity and the dynamic nature of the risk. Moreover, each of the project stakeholders has his/her own risks, his/her own vision and his/her own action on the project and on risks. In this pap