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Dear Colleagues, we would like to invite you to submit your contribution on the Research Area [S] - <http://eaepe.org/?page=research_areas&side=s_evolutionary_economic_simulati on> Evolutionary Economic Simulation to the <http://eaepe.org/?page=events&side=annual_conference&sub=call_for_papers_ea epe2017> 29th Annual EAEPE Conference to be held at the Corvinus University of Budapest, Hungary, on 19-21 October 2017. Proposals from different economic schools of thought on all topics in line with the agenda of the Research Area (see below) are welcome. Submissions Abstracts (from 300 to 750 words) are to be submitted electronically through the <http://eaepe.org/?page=events&side=annual_conference&sub=eaepe2017_abstract _submission> EAEPE Abstract Submission form. Please indicate that your paper is intended for Research Area [S] - Evolutionary Economic Simulation on the appropriate tent menu! Important dates Abstract submission deadline: 15 May 2017 Notification of acceptance: 15 June 2017 Contact For any information or queries please contact the Research Area Coordinators, <mailto:[log in to unmask]> Marco Raberto and <mailto:[log in to unmask]> Andrea Roventini. Description of EAEPE Research Area [S] - Evolutionary Economic Simulation The use of computer simulations in economics goes back to the sixties, when large-scale mainframe econometric models with aggregate equations were used to simulate the US economy for the first time. Since then, the amount and variety of simulations has increased steadily, especially in evolutionary economics. In particular, the increasing availability of cheap computing power has allowed researchers to model and simulate the interactions between large numbers of bounded rational, heterogeneous agents. RA-S organizes sessions at the annual EAEPE conferences and provides the opportunity for researchers working on/with evolutionary computational simulations to meet and exchange ideas. Special attention is given to interdisciplinary approaches addressing the evolution of economic agents and institutions in non-equilibrium processes under bounded rationality and social learning. In particular, we look for contributions offering new insights to collective action problems in the context of macroeconomics, institutionalism and political economy. Through the use of approaches from evolutionary economics and complex adaptive systems, we want to shed light on problems such as: * evolutionary macroeconomics: endogenous technological change and/or consumer dynamics in agent-based macroeconomic models, micro-meso-macro simulation, endogenous money, investment-finance interlinkages, bubbles and crashes, structural change, fiscal and monetary policies in agent-based macroeconomic models * complex adaptive systems in political economy: individual and social choces, multi-level governance, evolution of cooperation, institutional life-cycles, power and transformation, culture-environment co-evolution, industrial change, socio-ecological transformation Of course, we are also happy to discuss the development of the method as such in a critical way. Kindest regards, On behalf of RA S research area coordinators. Marco Raberto