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Comparative Effectiveness and Safety of Inebilizumab Versus Rituximab in AQP4‐IgG‐Positive NMOSD
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Rituximab (anti‐CD20, RTX) and inebilizumab (anti‐CD19, INE) represent B‐cell‐depleting therapies used for aquaporin‐4 antibody‐positive (AQP4‐IgG+) neuromyelitis optica spectrum disorder (NMOSD); however, direct comparative evidence remains limited.
Jie Lin +11 more
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Empirical Calibration of Single-Asset and Multi-Asset Agent-Based Models for Financial Markets
Luke Barnes, Tim Gebbie
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Agent‐based models in sociology
WIREs Computational Statistics, 2015This article looks at 20 years of applications of agent‐based models (ABMs) in sociology and, in particular, their explanatory achievements and methodological insights. These applications have helped sociologists to examine agent interaction in social outcomes and have helped shift analyses away from structural and aggregate factors, to the role of ...
BIANCHI, Federico, SQUAZZONI, Flaminio
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2021
Agent-based modeling (ABM) has become widely accepted as a methodological tool to model and simulate dynamic processes of geographical phenomena. A growing number of ABM studies across a variety of domains and disciplines is partially explained by the development of agent-modeling tools and platforms, the availability of micro-data, and the advancement
Jessica S. Yu, Neda Bagheri
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Agent-based modeling (ABM) has become widely accepted as a methodological tool to model and simulate dynamic processes of geographical phenomena. A growing number of ABM studies across a variety of domains and disciplines is partially explained by the development of agent-modeling tools and platforms, the availability of micro-data, and the advancement
Jessica S. Yu, Neda Bagheri
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2013
In this chapter, we describe the main characteristics of agent-based modelling. Agent-based modelling is a computational method that enables researchers to create, analyse, and experiment with models composed of autonomous and heterogeneous agents that interact within an environment, in order to identify the mechanisms that bring about some macroscopic
Corinna Elsenbroich, Nigel Gilbert
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In this chapter, we describe the main characteristics of agent-based modelling. Agent-based modelling is a computational method that enables researchers to create, analyse, and experiment with models composed of autonomous and heterogeneous agents that interact within an environment, in order to identify the mechanisms that bring about some macroscopic
Corinna Elsenbroich, Nigel Gilbert
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2009
Abstract This article provides a discussion on agent-based modeling. Two examples that show the ability of computational methods to extend game-theoretic results are presented. It then discusses modeling agents, modeling agent interactions, and system behaviour.
Scott de Marchi, Scott E. Page
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Abstract This article provides a discussion on agent-based modeling. Two examples that show the ability of computational methods to extend game-theoretic results are presented. It then discusses modeling agents, modeling agent interactions, and system behaviour.
Scott de Marchi, Scott E. Page
openaire +1 more source
Social Science Computer Review, 2002
The Santa Fe Artificial Stock Market (ASM) is a well-known agent-based model. A new revision of the code (ASM-2.2) is now available. This article describes some of the changes that were made in the code base and also presents some important lessons for agent-based modelers that can be illustrated with the code.
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The Santa Fe Artificial Stock Market (ASM) is a well-known agent-based model. A new revision of the code (ASM-2.2) is now available. This article describes some of the changes that were made in the code base and also presents some important lessons for agent-based modelers that can be illustrated with the code.
openaire +1 more source