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Behavioral Experiments on Decision Horizons in Conflict Analysis Theory Education.
Jun Wu1, Hongxia Xie1, Shinan Zhao2
1School of Economics and Management, Jiangsu University of Science and Technology.
Journal of Visualized Experiments : Jove
|December 29, 2025
Summary
Behavioral experiments enhance understanding of stability theory in conflict resolution games. This innovative teaching method improves decision-making skills and rational analysis for complex strategic situations.
Area of Science:
- Game Theory
- Behavioral Economics
- Computational Social Science
Background:
- The graph model for conflict resolution (GMCR) provides a framework for analyzing complex strategic interactions.
- Effective pedagogical methods are needed to teach stability concepts within the GMCR.
Purpose of the Study:
- To develop and evaluate behavioral experiments for teaching stability theory in the graph model for conflict resolution (GMCR).
- To enhance participants' understanding of interactive processes, decision horizons, and rational decision-making in conflict games.
Main Methods:
- A behavioral experiment was designed incorporating the four basic stabilities of the GMCR.
- An interactive decision-making simulation environment was created using classic conflict game examples.
- Participants engaged in multi-round gameplay simulations, adopting different roles.
Main Results:
- Simulations broadened participants' decision horizons and improved their ability to handle complex conflict situations rationally.
- Participants demonstrated enhanced cognitive understanding of rational and irrational decision-making behaviors.
- The study analyzed the evolutionary patterns of decision horizons with increasing gameplay rounds.
Conclusions:
- Behavioral experiments offer an innovative and effective pedagogy for teaching conflict analysis and GMCR stability theory.
- The developed methods have significant educational implications and practical value for conflict resolution studies.
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