ABSTRACT. There is an increasing drive to combine agent-based models with empirical methods. An overview is provided of the various empirical methods that are used for different kinds of questions.

Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May ...

Rapid technological advances are revolutionizing work in science, mathematics, and complex theories. To introduce the powers of agent-based computer modeling for investigating complex problems, ...

The leaders of the world are flying the economy by the seat of their pants, say J. Doyne Farmer and Duncan Foley. There is, however, a better way to help guide financial policies. In today's high-tech ...

Agent-based modelling (ABM) has emerged as a pivotal tool in macroeconomics and economic policy analysis. By simulating the interactions of numerous heterogeneous agents — such as households, firms, ...

This course focuses on the exploration, construction and analysis of multi-agent models. Sample models from a variety of content domains are explored and analyzed. Spatial and network topologies are ...

Historical Social Research / Historische Sozialforschung, Vol. 43, No. 1 (163), Special Issue: Agent-Based Modeling in Social Science, History, and Philosophy (2018), pp. 259-284 (27 pages) ...

In this paper we introduce agent-based modeling for research on decentralized autonomous organizations and decentralized finance (DeFi). As an illustration, we employ agent-based modeling to ...

What is agent-based modeling, otherwise known as ABM? What is distributed computing? Why do it? These are all easily answered questions, right? Surprisingly, the answer is a resounding “No!” in many ...

A thorough analysis of risks in the banking system requires incorporating banks’ inherent heterogeneity and adaptive behavior in response to shocks and changes in business conditions and the ...