Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems
The generative approach to social science, in which agent-based simulations (or other complex systems models) are executed to reproduce a known social phenomenon, is an important tool for realist explanation. However, a generative model, when suitably calibrated and validated using empirical data, r...
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| Main Authors: | Tuong M. Vu, Charlotte Buckley, Hao Bai, Alexandra Nielsen, Charlotte Probst, Alan Brennan, Paul Shuper, Mark Strong, Robin C. Purshouse |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/8923197 |
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