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

Grigoryan, G. G.; Etemadidavan, Sheida; Collins, Andrew J.

doi:10.1177/00375497221093652

Cited by 6 publications

(4 citation statements)

References 93 publications

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“…Participatory simulation is when human participants play the role of one of the computerized agents (Castella et al 2005). In a recent paper, Grigoryan et al (2022) used participatory simulation to determine if the rates of finding a solution, to a hedonic game called the glove game, were similar between the computerized agents and human behavior. This was achieved by having a human participant play the role of a single agent in the simulation.…”

Section: 74mentioning

confidence: 99%

Methods That Support the Validation of Agent-Based Models: An Overview and Discussion

Collins,

Koehler,

Lynch

2024

JASSS

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Validation is the process of determining if a model adequately represents the system under study for the model's intended purpose. Validation is a critical component in building the credibility of a simulation model with its end-users. Effectively conducting validation can be a daunting task for both novice and experienced simulation developers. Further compounding the difficult task of conducting validation is that there is no universally accepted approach for assessing a simulation. These challenges are particularly relevant to the paradigm of Agent-Based Modeling and Simulation (ABMS) because of the complexity found in these models' mechanisms and in the real-world situations they attempt to represent. To aid both the novice and expert in conducting a validation process for an agent-based simulation, this article reviews nine methods that are useful for this process, including foundational topics of docking, empirical validation, sampling, and visualization, as well as advanced topics of bootstrapping, causal analysis, inverse generative social science, and role-playing. Each method is reviewed with respect to its benefits and limitations as a validation-supporting method for ABMS. Suggestions that may support a validation plan for an agent-based simulations, are also provided. This article is an introductory guide for understanding and conducting ABMS validation for developers of all experience levels.

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Section: 74mentioning

confidence: 99%

Methods That Support the Validation of Agent-Based Models: An Overview and Discussion

Collins,

Koehler,

Lynch

2024

JASSS

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“…As simulationists, we have access to many simulation models developed as part of our research and industry projects. Many existing simulation models (such as those in Meng et al 96 and Grigoryan et al 97 ) have the potential to be used as learning context for PBL activities through the ISBL framework summarized in Figure 2. Moreover, in recent years, many simulation software offer enhanced animation features as well as VR compatibility.…”

Section: A Sample Isbl Modulementioning

confidence: 99%

Simulation in engineering education: The transition from physical experimentation to digital immersive simulated environments

Negahban

2024

SIMULATION

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Besides its use as a powerful systems analysis tool, simulation has also been used for decades in educational settings as a teaching and learning method. Simulation can replace or augment real-world inquiry-based experiences by providing learners with a low-cost and risk-free experimentation platform to develop knowledge and skills in a simulated environment. This paper presents an overview of current applications and the ongoing transition from physical experimentation to digital simulations and immersive simulated learning environments in engineering education. The paper highlights major implementation and research gaps related to simulation-based learning and immersive simulated learning environments, namely, lack of integration with learning theories and limited formal assessments of effectiveness. Potential implementation approaches and important areas for future educational research are discussed and exemplified in response to the identified gaps. The discussions presented are intended for simulationists, educational researchers, and instructors who are interested in designing and/or utilizing engineering education interventions involving simulated learning environments and immersive technologies in their teaching and educational research. In particular, the Immersive Simulation-Based Learning (ISBL) approach discussed in the paper provides a framework for simulationists to reuse the models developed as part of their simulation projects for educational purposes.

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Section: Related Workmentioning

confidence: 99%

“…On the simulation platform side, software frameworks such as VR-Forces, Virtual Battle Space (VBS), Calytrix, MASA Sword and others support the declaration and development of highly realistic domain-specific object behavior and interactions (viable technologies for emulating such behavior include agent-based models, 41 multi-agent systems, 42 and probabilistic action networks 43 ). Although there is support in these frameworks for scripting sequences of events, and even for expressing such scripts in terms of high-level and low-level operational commands, 44 there is no inherent notion of causality and means-end relationships.…”

Section: Related Workmentioning

confidence: 99%

A logic-based event controller for means-end reasoning in simulation environments

2023

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Simulation games are designed to cultivate expertise and rehearse particular skill sets. To yield longitudinal effects, sequences of events must be crafted to yield intended learning outcomes, sometimes by focusing on particularly difficult situations and replaying variants. The present paper develops a logic-based approach for encoding the interrelation between action, events, and objects in a manner that allows the resulting scenario description to immediately be executed in a game development environment. This has the dual effect of decoupling the description of a scenario from the simulation platform itself, as well as supporting iterative and flexible development of learning content. To this end, we provide three interrelated components: First, we develop a scenario description language based on Answer Set Programming. The language is designed to allow an automated reasoner to deduce a schedule of the future events that are caused by an action taken in a given simulation environment. Second, we define a protocol for exchanging actions and computed futures between, respectively, the simulation environment and the external automated reasoner. Finally, as a proof of concept, we develop an Application Programming Interface (API) for the Unity Real-Time Development Platform that implements the protocol and offers a software framework for connecting the computed future events to concrete game objects. This allows the game to evolve coherently from the specification. We argue that the resulting system inherits capabilities for artificial commonsense reasoning from its declarative basis which are useful for reasoning about an evolving emergency incident or training scenario.

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

Cited by 6 publications

References 93 publications

Methods That Support the Validation of Agent-Based Models: An Overview and Discussion

Methods That Support the Validation of Agent-Based Models: An Overview and Discussion

Simulation in engineering education: The transition from physical experimentation to digital immersive simulated environments

A logic-based event controller for means-end reasoning in simulation environments

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