Quantifying the interplay of emotions and rationality in herding: A game-theoretic simulation study

Author:

Zia Kashif1,Ferscha Alois2,Din Ahmad3,Farooq Umar4

Affiliation:

1. Bahria University, Islamabad, Pakistan

2. Johannes Kepler University, Linz, Austria

3. COMSATS Institute of Information Technology, Abbottabad, Pakistan

4. University of Science and Technology, Bannu, Pakistan

Abstract

In this paper, we apply game theory to analyze interplay between emotions and rationality, to reduce the effect of herding during evacuation. The simulation model developed for this work incorporates the social behavior of the crowd to ensure an improved evacuation. This model is simulated for four strategies, built upon both social and technological aspects of decision-making, with varied sets of the agents’ density and type being either rational or emotional. This work is evaluated both quantitatively and qualitatively using parameters such as simulation time, agents’ distribution across exits, exit utilization, and panic. Mixed results were achieved in general; however, the game variation allowing more than one exit change showed an improvement over both variations of the game allowing a single exit change.

Publisher

SAGE Publications

Subject

Behavioral Neuroscience,Experimental and Cognitive Psychology

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Agent-based simulation for pedestrian evacuation: A systematic literature review;International Journal of Disaster Risk Reduction;2024-09

2. A Game-Theoretic Approach to Safe Crowd Evacuation in Emergencies;Computers, Materials & Continua;2024

3. A model for herd behaviour based on a spatial public goods game;Physica A: Statistical Mechanics and its Applications;2023-08

4. On the effectiveness of multi-feature evacuation systems: an agent-based exploratory simulation study;PeerJ Computer Science;2021-05-19

5. An Agent-Based Model of Crowd Evacuation;Proceedings of the 2020 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation;2020-06-06

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