Multi-Agent Virtual Histories of the Development of
Differentiated Economic Strategies
Agent communications, agent cognition and agent strategy
selection play a vital role in the evolution of complex behaviors in multi-agent
modeling systems. Complex cognitive agents allow models to develop
highly differentiated results and show a wider range of outcomes than models
that use simple agents. The ability for agents to create and communicate
solutions are important in understanding how stability and instability can
develop in the management of finite resources. Ultimately, these complex
cognitive agents and the virtual histories they create may reveal under what
conditions successful strategies emerge and proliferate, and under what conditions
do resource scarcities deteriorate into violence.
Darold Higa
University of Southern California
School of International Relations
dhiga@cyberianzone.com