Humanity is facing many grand challenges at unprecedented rates, nearly everywhere, and
at all levels. Yet virtually all these challenges can be traced back to the decision and …

We provide a survey of 31 quantitative measures of systemic risk in the economics and
finance literature, chosen to span key themes and issues in systemic risk measurement and …

This paper addresses the background and current state of the field of agent-based
modelling and simulation (ABMS). It revisits the issue of ABMS represents as a new …

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual,
autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model …

Abstract Economies are complicated systems encompassing micro behaviors, interaction
patterns, and global regularities. Whether partial or general in scope, studies of economic …

When designing an agent-based simulation, an important question to answer is how to
model the decision making processes of the agents in the system. A large number of agent …

Identifying biological and behavioural causes of diseases has been one of the central
concerns of epidemiology for the past half century. This has led to the development of …

This chapter examines the relationship between agent-based modeling and economic
decision-making experiments with human subjects. Both approaches exploit controlled …

This work analyses the effects of labour market structural reforms by means of the labour-
augmented 'Schumpeter meeting Keynes'(K+ S) Agent-Based model. We introduce a policy …

Managers are always seeking effective policies that encourage employees to share their
knowledge with others in an organization. The appropriate organizational incentives are …