An empirical nonlinear dynamics approach to analyzing emergent behavior of agent-based models
Agent-based models (ABMs) simulate the behavior of complex systems from bottom to top so that macro-scale patterns emerge from randomized micro-scale interactions among autonomous agents and their environment. However, our ability to construct complex ABMs currently exceeds our capacity to evaluate...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIP Publishing LLC
2021-03-01
|
| Series: | AIP Advances |
| Online Access: | http://dx.doi.org/10.1063/5.0023116 |