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- Title
Surrogate Modelling in (and of) Agent-Based Models: A Prospectus.
- Authors
van der Hoog, Sander
- Abstract
A very timely issue for economic agent-based models (ABMs) is their empirical estimation. This paper describes a line of research that could resolve the issue by using machine learning techniques, using multi-layer artificial neural networks (ANNs), or so called Deep Nets. The seminal contribution by Hinton et al. (Neural Comput 18(7):1527-1554, 2006) introduced a fast and efficient training algorithm called Deep Learning, and there have been major breakthroughs in machine learning ever since. Economics has not yet benefited from these developments, and therefore we believe that now is the right time to apply multi-layered ANNs and Deep Learning to ABMs in economics.
- Subjects
MULTIAGENT systems; ECONOMIC models; MACHINE learning; ARTIFICIAL neural networks; DEEP learning
- Publication
Computational Economics, 2019, Vol 53, Issue 3, p1245
- ISSN
0927-7099
- Publication type
Article
- DOI
10.1007/s10614-018-9802-0