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On learning agent-based models from data [PDF]
Scientific Reports, 2023 Agent-Based Models (ABMs) are used in several fields to study the evolution of complex systems from micro-level assumptions. However, a significant drawback of ABMs is their inability to estimate agent-specific (or “micro”) variables, which hinders their
Corrado Monti +3 more
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Features of Agent-based Models [PDF]
Electronic Proceedings in Theoretical Computer Science, 2017 The design of agent-based models (ABMs) is often ad-hoc when it comes to defining their scope. In order for the inclusion of features such as network structure, location, or dynamic change to be justified, their role in a model should be systematically ...
Reiko Heckel +2 more
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Simulating emergence of novelties using agent-based models [PDF]
PLoS ONE, 2023 Understanding the growth and evolution of social networks is an important area of study, as these networks form the foundation for many popular online services such as social networking sites (SNS) and online games.
Mikihiro Suda +4 more
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Efficient Bayesian inference for stochastic agent-based models. [PDF]
PLoS Computational Biology, 2022 The modelling of many real-world problems relies on computationally heavy simulations of randomly interacting individuals or agents. However, the values of the parameters that underlie the interactions between agents are typically poorly known, and hence
Andreas Christ Sølvsten Jørgensen +3 more
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The effects of local homogeneity assumptions in metapopulation models of infectious disease
Royal Society Open Science, 2022 Computational models of infectious disease can be broadly categorized into two types: individual-based (agent-based) or compartmental models. While there are clear conceptual distinctions between these methodologies, a fair comparison of the approaches ...
Cameron Zachreson +3 more
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Agent Based Models in Power Systems
U.Porto Journal of Engineering, 2021 In the last two decades, power systems have experienced several changes, mainly related to organizational and operational restructuring. The appearance of new actors contributes to developing new business models and modifies its traditional operation ...
António Ferreira dos Santos +1 more
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Agent-based models in cellular systems
Frontiers in Physics, 2023 This mini-review discusses agent-based models as modeling techniques for studying pattern formation of multi-cellular systems in biology. We introduce and compare different agent-based model frameworks with respect to spatial representation ...
Jonas Pleyer, Christian Fleck
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Data Assimilation for Agent-Based Models
Mathematics, 2023 This article presents a comprehensive review of the existing literature on the topic of data assimilation for agent-based models, with a specific emphasis on pedestrians and passengers within the context of transportation systems.
Amir Ghorbani +3 more
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Statistical Mechanics of Political Polarization
Entropy, 2022 Rapidly increasing political polarization threatens democracies around the world. Scholars from several disciplines are assessing and modeling polarization antecedents, processes, and consequences. Social systems are complex and networked. Their constant
Miron Kaufman +2 more
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Empirically Based, Agent-based models
Ecology and Society, 2006 There is an increasing drive to combine agent-based models with empirical methods. An overview is provided of the various empirical methods that are used for different kinds of questions.
Marco A. Janssen, Elinor Ostrom
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