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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. |