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Advances in Artificial Economics (Paperback, 2015 ed.): Frederic Amblard, Francisco J. Miguel, Adrien Blanchet, Benoit Gaudou Advances in Artificial Economics (Paperback, 2015 ed.)
Frederic Amblard, Francisco J. Miguel, Adrien Blanchet, Benoit Gaudou
bundle available
R3,694 Discovery Miles 36 940 Ships in 10 - 15 working days

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.

Multi-Agent Based Simulation XVI - International Workshop, MABS 2015, Istanbul, Turkey, May 5, 2015, Revised Selected Papers... Multi-Agent Based Simulation XVI - International Workshop, MABS 2015, Istanbul, Turkey, May 5, 2015, Revised Selected Papers (Paperback, 1st ed. 2016)
Benoit Gaudou, Jaime Simao Sichman
R1,302 Discovery Miles 13 020 Ships in 10 - 15 working days

This book constitutes the thoroughly refereed post-conference proceedings of the 16th International Workshop on Multi-Agent-Based Simulation, MABS 2015, held in Istanbul, Turkey, in May 2015. The workshop was held in conjunction with the 14th International Conference on Autonomous Agents and Multi-agent Systems, AAMAS 2015. The 12 revised full papers included in this volume ware carefully selected from 22 submissions. The papers focus on the influence of social sciences and multi-agent systems, with a strong application/empirical vein, and its emphasis is stressed on exploratory agent based simulation as a principled way of undertaking scientific research in the social sciences and using social theories as an inspiration to new frameworks and developments in multi-agent systems.

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