Agent-based simulation methodology has shown merits to handle complex adaptive systems’ spontaneity, non-linearity, uncertainty, relevancy and emergence. Based on the agent theory of modeling and simulation, this paper proposes a flexible, scalable and cross-domain framework for simulating complex adaptive systems. After discussion on the design of FFCAS, applications on FFCAS in different complex domains, and empirical results are presented as experimental validation.
BT - Artificial Intelligence Applications and Innovations CY - US DO - 10.1007/0-387-29295-0_12 M1 - 187 N2 -Agent-based simulation methodology has shown merits to handle complex adaptive systems’ spontaneity, non-linearity, uncertainty, relevancy and emergence. Based on the agent theory of modeling and simulation, this paper proposes a flexible, scalable and cross-domain framework for simulating complex adaptive systems. After discussion on the design of FFCAS, applications on FFCAS in different complex domains, and empirical results are presented as experimental validation.
NV - pp 107-115 PB - Springer US PP - US PY - 2005 SE - IFIP — The International Federation for Information Processing SN - 978-0-387-28318-0/978-0-387-29295-3 T2 - Artificial Intelligence Applications and Innovations TI - FFCAS: A Flexible Agent-Based Simulation Framework for Complex Adaptive Systems ER -