30th EUROPEAN Conference on Modelling and Simulation

30th JUBILEE CONFERENCE

ECMS 2016

May 31st - June 3rd, 2016
Regensburg, Germany

Agent-Based Simulation (ABS)

ECMS papers are listed in DBLP, SCOPUS, ISI, INSPEC and DOI


copyright OTH Regensburg

copyright Frank Herrmann

copyright Frank Herrmann

copyright Frank Herrmann

copyright Frank Herrmann

copyright Frank Herrmann

 

 

 

 

 

 

 


Research in the domain of multi-agent systems (MAS) is becoming more and more important because of the capacity of MAS to design and simulate complex systems, i.e. systems composed of many entities in interaction between themselves and with an external environment. MAS are used in many domains in which classical mathematical models are not available because either the dynamics are far from equilibrium, or the systems are open (creation and deletion of entities in the course of simulation), or emergent phenomena have to be explored, or the entities are heterogeneous (for example, the eco-socio-systems which combine ecological and social dynamics), or simply because they provide a more intuitive understanding. The track is intended to offer a forum for people interested in agent-based simulation to discuss methodologies, techniques and applications.

We encourage contributions which present not only case studies but also critical analysis on the pertinence of multi-agent models and their usefulness for understanding or for decision making, design and validation methodologies, comparative studies in the modeling sciences.

In particular, the subjects include but are not limited to:

  • Design, implementation and validation methodologies, including participative protocols

  • Modeling languages and platforms

  • Agent architectures for different fields of simulation

  • Interaction protocols including with humans

  • Multi-level simulation and emergence of global phenomena

  • Time and space representation including multiple scales

  • Comparison with centralized models, relationship between individual-based versus aggregative models

  • Conceptual and epistemological analysis


 


 


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