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Influencing agent group behavior by adjusting cultural trait values
1Department of Computer Science, Southern Illinois University, Carbondale, IL 62901, USA. gtuli@cs.siu.edu
Summary
This study introduces a method to adjust cultural traits in simulated agents to control group behavior. By tuning parameters like uncertainty avoidance, desired system utilities can be achieved in complex scenarios.
Area of Science:
- Social Sciences
- Artificial Intelligence
- Computational Social Science
Background:
- Social reasoning and norms are shaped by cultural traits.
- Understanding and manipulating these traits is key to influencing group behavior.
Purpose of the Study:
- To develop and validate a methodology for parametrically adjusting cultural traits.
- To demonstrate the capability to deliberately tune cultural group traits for desired group behavior.
Main Methods:
- Implemented an agent-based simulation testbed for intelligence, surveillance, and reconnaissance scenarios.
- Dynamically observed group and individual utilities against parametric values of selected cultural traits.
- Focused on uncertainty avoidance index and individualism as key cultural traits.
Main Results:
- Users could deliberately produce desired system utilities by adjusting cultural trait settings.
- Demonstrated a correspondence between cultural values and system utilities.
- Showcased the efficacy of context-specific trait application for achieving desirable outcomes.
Conclusions:
- The methodology provides a path for controlling large systems through parametric cultural adjustments.
- Cultural traits are significant within their specific contexts.
- This approach offers a novel way to influence collective behavior in artificial systems.
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