An Agent-Based Simulation on the Market for Offenses

Pinata Winoto

The equilibrium of the market for offenses using agent-based simulation is studied. One of the potential applications of it is to seek optimal policy in governing an open multi-agent system, especially when heterogeneous agents may behave maliciously. A theoretical work by Fender (1999) is chosen as the basic framework for the simulation. The simulation results show more detailed properties of the market equilibrium compared to those taken from theoretical analysis.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.