Modelling and simulation of emotions in agent based computational economics.

Abstract

In recent years, agent-based simulation has been successfully utilized in studying various economic phenomena. Those research results focus on modeling and simulation of emotions in Agent Based Economics. This thesis goal is to develop a simulation application that studies various emerging economic phenomena, such as bank runs, using emotional modeled agents. The economic phenomena simulation based on multi-agent systems is one of the most contemporary ways of studying the latter, as it allows the design of various factors with twenty-two standardized emotions, which interact with each other. Specifically, we focus on X-Machines, which have been expanded appropriately to allow emotional modeling.