Benoit Gaudou – författare

​The book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems.

​The book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems.

This bookconstitutes the thoroughly refereed post-conference proceedings of the 16thInternational Workshop on Multi-Agent-Based Simulation, MABS 2015, held inIstanbul, Turkey, in May 2015. The workshop was held in conjunction with the14th International Conference on Autonomous Agents and Multi-agent Systems,AAMAS 2015.The 12revised full papers included in this volume ware carefully selected from 22submissions. The papers focus on theinfluence of social sciences and multi-agent systems, with a strongapplication/empirical vein, and its emphasis is stressed on exploratory agentbased simulation as a principled way of undertaking scientific research in thesocial sciences and using social theories as an inspiration to new frameworks  and developments in multi-agent systems.