This short review presents a selected history of the mutual fertilization between physics and
economics—from Isaac Newton and Adam Smith to the present. The fundamentally different …

Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …

Agent-based modeling (ABM) is a novel computational methodology for representing the
behavior of individuals in order to study social phenomena. Its use is rapidly growing in …

Financial crises result from a catastrophic combination of actions. Vast stock market datasets
offer us a window into some of the actions that have led to these crises. Here, we investigate …

Coevolution between strategy and network structure is established as a means to arrive at
the optimal conditions needed to resolve social dilemmas. Yet recent research has …

The complex behavior of financial markets emerges from decisions made by many traders.
Here, we exploit a large corpus of daily print issues of the Financial Times from 2nd January …

Understanding correlations in complex systems is crucial in the face of turbulence, such as
the ongoing financial crisis. However, in complex systems, such as financial systems …

This paper presents an agent-based artificial cryptocurrency market in which heterogeneous
agents buy or sell cryptocurrencies, in particular Bitcoins. In this market, there are two …

By synthesizing stock-flow consistent models, input–output models, and aspects of
ecological macroeconomics, a method is developed to simultaneously model monetary …

In January 3, 2009, Satoshi Nakamoto gave rise to the “Bitcoin Blockchain”, creating the first
block of the chain hashing on his computer's central processing unit (CPU). Since then, the …