Results 41 to 50 of about 11,927,890 (342)
On the contact tracing for COVID-19: A simulation study
Epidemics, 2023 Background:: Contact tracing is one of the most effective non-pharmaceutical interventions in the COVID-19 pandemic. This study uses a multi-agent model to investigate the impact of four types of contact tracing strategies to prevent the spread of COVID ...
Luděk Berec +11 more
doaj +1 more source
Systems, 2019 Agile processes have been used in software development, with many case studies indicating positive changes in productivity when these processes are used. Agile processes are beginning to be applied to work beyond software-centric systems.
Mitch Bott, Bryan Mesmer
doaj +1 more source
An agent-based model for energy investment decisions in the residential sector
Energy, 2019 Energy-related investment decisions in the buildings sector are heterogeneous in that the outcome for each individual varies according to budget, values, and perception of a technology, even if an apparently identical decision task is faced.
J. Sachs +3 more
semanticscholar +1 more source
Endogenous growth and global divergence in a multi-country agent-based model
Journal of Economic Dynamics and Control, 2019 In this paper we present a multi-country, multi-industry agent-based model investigating the different growth patterns of interdependent economies.
G. Dosi, A. Roventini, Emanuele Russo
semanticscholar +1 more source
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation [PDF]
SIAM/ASA J. Uncertain. Quantification, 2017 In a number of cases, the Quantile Gaussian Process (QGP) has proven effective in emulating stochastic, univariate computer model output (Plumlee and Tuo, 2014).
Arindam Fadikar +5 more
semanticscholar +1 more source
Using machine learning as a surrogate model for agent-based simulations
PLoS ONE, 2022 In this proof-of-concept work, we evaluate the performance of multiple machine-learning methods as surrogate models for use in the analysis of agent-based models (ABMs).
C. Angione, E. Silverman, E. Yaneske
semanticscholar +1 more source
Data & Policy, 2020 We build a computational framework to support the planning of development and the evaluation of budgetary strategies toward the 2030 Agenda. The methodology takes into account some of the complexities of the political economy underpinning the ...
Omar A. Guerrero, Gonzalo Castañeda
doaj +1 more source
An Agent-Based Model of Procrastination
, 2014 Procrastination is a widespread type of self-regulation failure that can have serious negative effects on people's health (e.g., because people delay or omit important health behaviors) and well-being. New “e-coaching” technologies make it possible in principle to offer tailored support to individuals in their efforts to change ...
Procee, Ruurdje +3 more
openaire +3 more sources
An open-data-driven agent-based model to simulate infectious disease outbreaks
PLoS ONE, 2018 Agent-based models are a tool that can be used to better understand the dynamics of an infectious disease outbreak. An infectious disease outbreak is influenced by many factors including vaccination or immunity levels, population density, and the age ...
Elizabeth Hunter +2 more
semanticscholar +1 more source
Journal of the Royal Society Interface, 2017 When the immune system responds to tumour development, patterns of immune infiltrates emerge, highlighted by the expression of immune checkpoint-related molecules such as PDL1 on the surface of cancer cells. Such spatial heterogeneity carries information
Chang Gong +6 more
semanticscholar +1 more source