Abstract
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 |
| Publisher | Springer Netherlands |
| Pages | 125-139 |
| Number of pages | 15 |
| ISBN (Print) | 9789048189274, 9789048189267 |
| DOIs | |
| State | Published - 2011 |