Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Turtles, termites, and traffic jams: explorations in massively parallel microworlds
Personality, Affect and Emotion Taxonomy for Socially Intelligent Agents
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference
Modelling and Design of Multi-Agent Systems
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Adapting to agents' personalities in negotiation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A model of emotions for situated agents
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Creating crowd variation with the OCEAN personality model
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
A process-oriented approach to model agent personality
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Toward a Myers-Briggs type indicator model of agent behavior in multiagent teams
MABS'10 Proceedings of the 11th international conference on Multi-agent-based simulation
Simulating heterogeneous crowd behaviors using personality trait theory
SCA '11 Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
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This paper explores the use of the Myers-Briggs Type Indicator (MBTI) as the basis for defining the personality of an agent. The MBTI is a well-known psychological theory of human personality. In the MBTI model, four axes are defined to explain how humans perceive their environment, how they interact with others and how they make decisions based on these traits. The work described here presents a preliminary model of agent behavior in which two of the axes are implemented, combining to reflect four distinct agent personality types. Experiments were conducted under three environmental conditions: single agent setting, homogeneous multiagent team, and heterogeneous multiagent team. Results are presented for each condition and are analyzed in comparison with the other conditions, as well as within the context of the expected MBTI behaviors given each environment and the simulated task. It is demonstrated that agents of each personality type produce very different results, distinct for and characteristic of each MBTI personality type.