How the Ocean personality model affects the perception of crowds

Area of Science:

• Artificial Intelligence
• Agent-Based Modeling
• Computational Psychology

Background:

• The High-Density Autonomous Crowds (HiDAC) system simulates complex crowd behaviors.
• Current systems often lack nuanced agent individuality, impacting simulation realism.
• Parameter tuning in agent-based systems can be complex and time-consuming.

Purpose of the Study:

• To extend the HiDAC system by incorporating agent personality models.
• To automate low-level parameter tuning through personality specification.
• To enhance the realism and adaptability of autonomous crowd simulations.

Main Methods:

• Agents were endowed with personality traits based on the OCEAN (openness, conscientiousness, extroversion, agreeableness, neuroticism) model.
• Each personality trait was associated with nominal agent behaviors.
• Specifying an agent's personality profile informed parameter adjustments.

Main Results:

• Demonstrated a method for integrating personality into autonomous agents within HiDAC.
• Showcased automated parameter tuning driven by personality profiles.
• Enabled more diverse and individualized agent behaviors within the simulated crowd.

Conclusions:

• Integrating OCEAN personality models into HiDAC agents simplifies parameter tuning.
• Personality-driven automation enhances the flexibility and realism of crowd simulations.
• This approach offers a novel way to control and diversify agent behavior in complex systems.