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Evaluating a Crowd Logistics Network Using Agent-Based Modeling
Crowd logistics is a part of the sharing economy in which individual carriers offer to transport and deliver items for other individuals or...
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Combining Experiments with Agent-Based Modeling: Benefits for Experimental Management Accounting Research
Laboratory experiments are among the most frequently used methods in management accounting research because they offer high internal validity,...
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Modeling Farmers’ Adoption Potential to New Bioenergy Crops: An Agent-Based Approach
The use of fossil fuels is the primary source of greenhouse gas emissions but there are alternatives to these especially in the form of biofuels,...
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Agent-Based Simulations and Process Mining: A Green BPM Case Study
This paper investigates the interactions between agent-based modeling and process mining, which is an increasingly widespread applied discipline in...
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Universal Pareto laws in agent-based exchange models: debt and varying initial-money distributions
AbstractWe examine by Monte-Carlo simulations the behavior of a kinetic exchange-trading model for various initial distributions of money in the...
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Reusable Software Structures for Coupling Agent-Based Locomotion Models and Disease Transmission Models
The COVID-19 pandemic sparked interest in coupling locomotion and disease transmission models because numerical experiments conducted with these...
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Introducing Land Constraints to Macroeconomic Agent-Based Models
We present a macroeconomic agent-based model that incorporates land to constrain maximum agricultural production. The model contains three types of...
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Two tales of complex system analysis: MaxEnt and agent-based modeling
Over the recent four decades, agent-based modeling and maximum entropy modeling have provided some of the most notable contributions applying...
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EMAPS: An Intelligent Agent-Based Technology for Simulation of Multiscale Systems
Many systems in science and engineering can be modeled by partial differential equations (PDEs) discretized in time and space. While a variety of...
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Comparing Agent-Based Modeling to Cooperative Game Theory and Human Behavior
Game theory is a normative approach; that is, it tells us how a game should be played. Data collected from human experiments can help produce...
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Creating Intelligent Agents: Combining Agent-Based Modeling with Machine Learning
Over the last two decades, with advances in computational availability and power, we have seen a rapid increase in the development and use of Machine...
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Inside the Mind of the Nonfiler: An Agent-Based Modeling Approach
Nonfilers are taxpayers who are required to file a tax return but fail to do so, complicating the mission of tax authorities by requiring additional...
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Statistical analysis of tip** pathways in agent-based models
Agent-based models are a natural choice for modeling complex social systems. In such models simple stochastic interaction rules for a large...
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Public Acceptance of Green Mobility Policies: An Agent-Based Model
We present an agent-based model to simulate policy acceptance for push and pull policy measures. Push measures are generally perceived as restrictive...
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The duality game: a quantum algorithm for body dynamics modeling
In recent years, quantum algorithms have emerged as a groundbreaking approach toward solving complex computational problems, particularly in physical...
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Investigating Emergency Responders’ Roles in a Dirty Bomb Event with an Agent-Based Model
Dirty bombs, formally known as radiological dispersal devices (RDDs), pose a new and potentially significant threat to the populace. They can be used...
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Implementation of Distributed Simulation Modeling in MTSS System
AbstractThe MTSS simulation modeling system implements the possibility of distributed simulation modeling by using the HLA standard. As an example of...
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Modeling of Flexural-Gravity Waves in Ice Cover on Elastic Films
AbstractIt is noted that, based on observations of fluctuations of the ice cover in natural conditions under the influence of moving loads, i.e.,...
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The Equity Premium Puzzle: An Application of an Agent-Based Evolutionary Model
We describe an agent-based model of a financial market with a stock and a bond. Agents compete in repeated rounds, decide whether to acquire costly...
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From Threatening Pasts to Hopeful Futures. A Review of Agent-Based Models of Anxiety
Despite being understated, anxiety is a critical factor affecting all levels of society, directly impacting individual decisions and with...