Complexity theory provides a common language and rubric for applying agent-based processes to a range of complex systems. Agent-based modeling in turn advances complexity science by actuating many complex system characteristics, such as self-organization, nonlinearity, sensitivity, and resilience. There are many points of contact between complexity and agent-based modeling, and we examine several of particular importance: the range of complexity approaches; tensions between theoretical and empirical research; calibration, verification, and validation; scale; equilibrium and change; and decision making. These issues, together and separately, comprise some of the key issues found at the interface of complexity research and agent-based modeling.
|Original language||English (US)|
|Title of host publication||Agent-Based Models of Geographical Systems|
|Editors||A. Heppenstall, A. Crooks, L. See, M. Batty|
|Place of Publication||Berlin, Germany|
|Number of pages||15|
|ISBN (Print)||9789048189274, 9789048189267|
|State||Published - 2011|