Human behavioral regularity, fractional Brownian motion, and exotic phase transition

Li, Xiaohui; Yang, Guang; An, Kenan; Huang, Jiping

doi:10.1016/j.physleta.2016.07.013

Cited by 6 publications

(3 citation statements)

References 39 publications

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“…In all research cases, none used a hybrid approach; either game theory was the context of the human subject experiment while the ABM was used to generate input data [78][79][80][81] or the ABM was used to validate the result of the human subject experiment. 82,83 In this section, we provided the background to ABM and simulation, CGT with specific attention to hedonic games, and human subject experiment applications in these two contexts; this provides the background need for our research approach. The next section presents the methodology used in our study.…”

Section: Abmscorementioning

confidence: 99%

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Computerized agents versus human agents in finding core coalition in glove games

2022

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One of the challenges for agent-based modeling is being able to incorporate human behavior. Human behavior is a multifaceted phenomenon, with strategic coalition formation being one form. A hybrid agent-based modeling approach, called ABMSCORE, has been derived to emulate strategic group formation. In this paper, we describe a simulation experiment to compare the ABMSCORE with actual human behavior. The comparison criterion is the respective rates of finding an ideal coalition. In our experimental design, we go to great lengths to ensure the similarity of the scenarios in the two trial types: trials with computerized agents only and trials involving human participants when one of the computerized agents is replaced by an actual human. We did this to limit the number of possible extraneous variables introduced into the experimental system. The scenario considered is the glove game, a standard cooperative game that has been previously used in human experiments. Our results indicate that the ABMSCORE model produces similar rates of finding the ideal coalition as the human players; however, there are some limitations. This research provides evidence for using the ABMSCORE modeling approach to model human strategic coalition formation in agent-based models.

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Section: Abmscorementioning

confidence: 99%

“…In all research cases, none used a hybrid approach; either game theory was the context of the human subject experiment while the ABM was used to generate input data 78–81 or the ABM was used to validate the result of the human subject experiment. 82,83…”

Section: Introductionmentioning

confidence: 99%

Computerized agents versus human agents in finding core coalition in glove games

2022

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“…There exist situations that use the human subject experiment as a validation tool to the results outputted from ABMS. For instance, Li, Yang [52] studied cooperation and competition behavior at the same time by incorporating Janus game rules into an agentbased simulation; then, to see how the model works, a human subject experiment was conducted. In the context of market exchange, Sohn [53] studied human decisions by considering the coordination game model in ABMS; then, a human subject experiment was conducted to validate the results.…”

Section: Game Theory and Agent-based Modeling In Human Subject Experimentationmentioning

confidence: 99%

Interactive Agent-Based Simulation for Experimentation: A Case Study with Cooperative Game Theory

Collins

Etemadidavan

2021

Modelling

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Incorporating human behavior is a current challenge for agent-based modeling and simulation (ABMS). Human behavior includes many different aspects depending on the scenario considered. The scenario context of this paper is strategic coalition formation, which is traditionally modeled using cooperative game theory, but we use ABMS instead; as such, it needs to be validated. One approach to validation is to compare the recorded behavior of humans to what was observed in our simulation. We suggest that using an interactive simulation is a good approach to collecting the necessary human behavior data because the humans would be playing in precisely the same context as the computerized agents. However, such a validation approach may be suspectable to extraneous effects. In this paper, we conducted a correlation research experiment that included an investigation into whether game theory experience, an extraneous variable, affects human behavior in our interactive simulation; our results indicate that it did not make a significant difference. However, in only 42 percent of the trials did the human participants’ behavior result in an outcome predicted by the underlying theory used in our model, i.e., cooperative game theory. This paper also provides a detailed case study for creating an interactive simulation for experimentation.

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Particle Diffusion Process with Artificial Control: Diffusion Metamaterials

Yang,

Huang

2024

Diffusionics

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Diffusion acts as a fundamental process for both energy and mass movement, showcasing dynamics that differs from wave propagation. The emergence of metamaterials provides a robust platform for custom manipulations of mass diffusion, drawing on principles like transformation theory and scattering-cancellation theory. Such manipulations have set the stage for novel findings and pioneering applications. This chapter delves into a thorough analysis of the recent progress in diffusion metamaterials. Earlier studies are methodically categorized based on diffusion models, delving deeply into the related theories, applications, finite-element simulations, and experimental approaches of different mechanisms. The chapter wraps up with a scrutiny of the inherent challenges tied to the theoretical underpinnings and architectural design of diffusion metamaterials. Some of these challenges are seen as potentially mitigated by upcoming approaches, such as pseudo-conformal mapping and machine-learning methodologies.

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Human behavioral regularity, fractional Brownian motion, and exotic phase transition

Cited by 6 publications

References 39 publications

Computerized agents versus human agents in finding core coalition in glove games

Computerized agents versus human agents in finding core coalition in glove games

Interactive Agent-Based Simulation for Experimentation: A Case Study with Cooperative Game Theory

Particle Diffusion Process with Artificial Control: Diffusion Metamaterials

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