Agent-based Computational Economics (ACE) is the computational study of economic processesmodeled as dynamic systems of interacting agents. This essay discusses the potentialuse of ACE modeling tools for the study of macroeconomic systems. Points are illustratedusing an ACE model of a two-sector...

This study provides a basic introduction to agent-based modeling (ABM) as a powerful blend of classical and constructive mathematics, with a primary focus on its applicability for social science research.  The typical goals of ABM social science researchers are discussed along with the...

Nonlinear AC Optimal Power Flow (OPF) problems are commonly approximated by linearized DC OPF problems to obtain real power solutions for restructured wholesale power markets. We first present a standard DC OPF problem, which has the numerically desirable form of a strictly convex quadratic...

This chapter explores the potential advantages and disadvantages of Agent-based Computational Economics (ACE) for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive...

Computational laboratories (CLs) are computational frameworks that facilitate the study of complex system behaviors by means of controlled and replicable experiments. CLs permit students to engage in open-ended creative research, to explore interesting questions of their own devising for which...

Agent-based computational economics (ACE) is the computational study of economies modeled as evolving systems of autonomous interacting agents. Thus, ACE is a specialization to economics of the basic complex adaptive systems paradigm. This study outlines the main objectives and defining...

This study uses an agent-based computational labor market framework to undertake a systematic experimental investigation of the relationship between market structure and market power. Market structure is measured in terms of job capacity (total potential job openings to total potential work...

This study undertakes a systematic experimental investigation of hysteresis (path dependency) in an agent-based computational labor market framework. It is shown that capacity asymmetries between work suppliers and employers can result in two distinct hysteresis effects, network and behavioral,...

This study uses agent-based computational experiments to examine the effects of a non-employment payoff on network formation and work-site behaviors among workers and employers participating in a sequential employment game with incomplete contracts. Workers either direct work offers to preferred...