Results 11 to 20 of about 831,996 (266)
Agent-based computational models [PDF]
, 2021 Published
Flache, Andreas +1 more
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Implementation features of large economic models
π-Economy, 2023 Agent-based economic models are invaluable tools for understanding complex economic systems and informed political decisions. However, the computational demands of large-scale agent-based models often require significant resources, limiting their ...
Bragin Aleksey, Bakhtizin Albert
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The Journal for Transdisciplinary Research in Southern Africa, 2008 Over the past few decades, numerous researchers have improved measurements of land use change through representation of much more complex processes of land use and its impact on water resources.
Y. E. Woyessa +2 more
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Data-driven modeling of collaboration networks: a cross-domain analysis
EPJ Data Science, 2017 We analyze large-scale data sets about collaborations from two different domains: economics, specifically 22,000 R&D alliances between 14,500 firms, and science, specifically 300,000 co-authorship relations between 95,000 scientists.
Mario V Tomasello +2 more
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Agent‐Based Modeling and Simulation
AI Magazine, 2012 This article gives an introduction to agent‐based modeling and simulation (ABMS). After a general discussion about modeling and simulation, we address the basic concept of ABMS, focusing on its generative and bottom‐up nature, its advantages as well as its pitfalls.
Franziska Klügl, Ana L. C. Bazzan
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POLICY DIFFUSION BY MEANS OF DEFENSE AND SECURITY SIMULATIONS AND THE USES OF AGENT-BASED MODELLING
Revista da Escola de Guerra Naval, 2020 This paper is about three elements: inter-agency cooperation simulations with security and defense practitioners as actors; policy diffusion as a way of innovative and incremental gains using practices and the observation of behaviors; and, agent-
Ana Luiza Bravo e Paiva +2 more
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An Agent-Based Classification Model [PDF]
SSRN Electronic Journal, 2007 The major function of this model is to access the UCI Wisconsin Breast Can- cer data-set[1] and classify the data items into two categories, which are normal and anomalous. This kind of classifi cation can be referred as anomaly detection, which discriminates anomalous behaviour from normal behaviour in computer systems.
Feng Gu 0006 +2 more
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À la recherche d’effets réseaux dans la dynamique du modèle de ségrégation de Schelling
Cybergeo, 2010 It is a shared belief that Thomas Schelling’ model of segregation is only weakly affected by the underlying spatial structure, whatever its complexity.
Arnaud Banos
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The Future of Agent-Based Modeling [PDF]
Eastern Economic Journal, 2016 In this paper, I elaborate on the role of agent-based (AB) modeling for macroeconomic research. My main tenet is that the full potential of the AB approach has not been realized yet. This potential lies in the modular nature of the models, which is bought by abandoning the straitjacket of rational expectations and embracing an evolutionary perspective.
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Econophysics of Agent-Based Models [PDF]
, 2014 Agent-based modeling of zapping behavior of viewers, television commercial allocation, and advertisement markets by Hiroyuki Kyan and Jun-ichi Inoue.- Agent based modeling of Housing asset bubble: A simple utility function based investigation by Kausik Gangopadhyay and Kousik Guhathakurta.- Urn model-based adaptive Multi-arm clinical trials: A ...
Abergel, Frédéric +4 more
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