Edgardo Bucciarelli and Gianfranco Giulioni from the University of Chieti-Pescara (Italy) are organizing a special session on Multi-Agent Macroeconomics at the 11th International Symposium on Distributed Computing and Artificial Intelligence that will take place in Salamanca in June 2014. More information is available here http://dcai.usal.es/special-sessions/ss2-mam
Category Archives: Agent Based Models
Draft of call for papers on agent-based models for GSS (GSS Conference 2014)
The intention of this session is to address how agent based models can generate new insight for global systems. In this perspective we invite contributions with different applications, methodological approaches and programming tools.
This session aims at understanding how to face challenges arising from global interactions. With regard to governance issues it is interesting to look at how different policy decisions influence the outcome of geographically interrelated regions. From a global systems science perspective we are interested in (however, not limited to) the following application areas 1) Interactions between geographical, economic, social and environmental systems, 2) Economic and social challenges arising from climate change mitigation, 3) Disaster response and crowd simulations related to climate change adaptation and 4) Immigration patterns and related economic and social outcomes.
From a methodological point of view two points should be addressed by the contributions to this session. First, in order to gain insights for policy making and governance, the agent-based models need to be assessed with empirical data. Therefore, questions of estimation, calibration and validation arise. Second, the question of the appropriate level of aggregation to explain the system and problem modeled needs to be addressed.
Tools that are used by different disciplines and often used not only by computer scientists, one of the aims is to establish an open source shared platform for different agent-based models that allows for sharing and reusing code. Moreover, there is the need for tools that allow scholars to build efficient large scale models as well as tools for analyzing the model behavior.