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There is increasing awareness that researchers in many fields share the common view to understand economic and social systems as consisting of  a large collection of  interacting agents. The global  behavior of the systems consist with heterogeneous agents is determined by the local interactions of their constituent parts. These interactions merit careful study in order to understand the macroscopic properties. The ideas of agent-based modeling are particularly rich and fresh to understand the relationship between local interactions and macroscopic properties. A basic methodology is to specify how the agents interact, and investigate coherent behaviors observed at the macro level. Agents are assumed to follow simple rules about giving and receiving influence, and these rules are not necessarily derivable from any principles of rational calculation at the individual level, and they are continually learning and evolving.     

The main goal of JEIC is to promote interactions and cross-fertilization among different approaches to the new economic science. JEIC serves for sharing the most recent theoretical applications and methodological advances on agent modeling throughout economics, social science, computer sciences, physics, and ecology and among scientists in professionals.

  JEIC clearly welcomes contributions that go beyond the above paradigms, by proposing new mechanisms and approaches suitable to understand and facilitate the development of collective and systems of learning and evolving agents.

 

JEIC especially features in-depth coverage of important challenges related to:

 (1) Theoretical Foundations: to contribute to a new economic science based on interacting agents;

 (2) Modeling and Computation: to contribute a new methodology and technique based on learning and evolving agents to solve complex economic and social problems;

 (3) Simulations and Experiments: to reach a better understanding of collective behaviors of interacting agents;

 (4) Verification: to contribute to find new laws that govern complex economic and social systems ;

 (4) System and Policy Design: to support a new system and  policy design and development with learning and evolving agents.