Modulating Agent Behavior using Human Personality Type

A prototype model is presented that demonstrates the idea of modulating agent behavior using human personality type. The psychological theory of personality type known as the Myers-Briggs Type Indicator (MBTI) is applied here. The MBTI theory defines four dichotomies to explain how individual humans differ in the ways that they perceive their environment, interact with others, and make decisions based on these traits. MBTI is integrated into a simple agent architecture and the resulting variations in behaviors are demonstrated in a simplified multiagent simulation environment. Experimental results illustrate that each personality type produces very different outcomes, distinct for and characteristic of its MBTI classification.