Výsledky vyhledávání
- 1.0555395 - NHU-C 2022 RIV CZ eng L4 - Software
Berec, L. - Diviák, T. - Kuběna, A.A. - Levínský, René - Neruda, R. - Suchopárová, G. - Šlerka, J. - Šmíd, M. - Trnka, J. - Tuček, V. - Vidnerová, P. - Vrbenský, K. - Zajíček, M. - Zapletal, F.
Epicity.
Interní kód: Epicity ; 2021
Technické parametry: The program requires a Linux machine with python 3, and it runs from command line interface. Configuration files for typical tasks are included and can be modified for user’s needs. Full instructions and examples can be found in the README file.
Ekonomické parametry: Model M is an agent-based epidemic model for COVID-19 computational experiments on realistic multi-graph social networks. It allows to simulate projections of main epidemic indicators with respect to various interventions. These include lock-downs, closures of different contact layers (leisure, schools, etc.), social distancing, testing and quarantine, contact tracing, and vaccination. The level of configurable parameters, including custom contact graphs, is a unique feature of this tool. Available under GNU General Public License v3.0.
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: Progres-Q24
Klíčová slova: epidemic modelling * agent based models * non-pharmaceutical interventions simulation
Obor OECD: Sociology
https://github.com/epicity-cz/model-m/releases/tag/v1.0
Trvalý link: http://hdl.handle.net/11104/0329920 - 2.0548125 - ÚI 2022 RIV CZ eng L4 - Software
Berec, Luděk - Diviák, T. - Kuběna, Aleš Antonín - Levínský, René - Neruda, Roman - Suchopárová, Gabriela - Šlerka, J. - Šmíd, Martin - Trnka, Jan - Tuček, Vít - Vidnerová, Petra - Vrbenský, Karel - Zajíček, Milan - Zapletal, František
Epicity.
Interní kód: Epicity ; 2021
Technické parametry: The program requires a Linux machine with python 3, and it runs from command line interface. Configuration files for typical tasks are included and can be modified for user’s needs. Full instructions and examples can be found in the README file.
Ekonomické parametry: Model M is an agent-based epidemic model for COVID-19 computational experiments on realistic multi-graph social networks. It allows to simulate projections of main epidemic indicators with respect to various interventions. These include lock-downs, closures of different contact layers (leisure, schools, etc.), social distancing, testing and quarantine, contact tracing, and vaccination. The level of configurable parameters, including custom contact graphs, is a unique feature of this tool. Available under GNU General Public License v3.0.
Grant CEP: GA TA ČR(CZ) TL04000282
Institucionální podpora: RVO:67985807 ; RVO:67985556 ; RVO:67985998
Klíčová slova: epidemic modelling * agent based models * non-pharmaceutical interventions simulation
Obor OECD: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8); Sociology (NHU-N); Public administration (NHU-N); Urban studies (planning and development) (NHU-N); Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8) (UTIA-B)
https://github.com/epicity-cz/model-m/releases/tag/v1.0
Trvalý link: http://hdl.handle.net/11104/0324239 - 3.0547638 - ÚTIA 2022 RIV NL eng J - Článek v odborném periodiku
Kukačka, Jiří - Krištoufek, Ladislav
Does parameterization affect the complexity of agent-based models?
Journal of Economic Behavior & Organization. Roč. 192, č. 1 (2021), s. 324-356. ISSN 0167-2681. E-ISSN 1879-1751
Grant CEP: GA ČR(CZ) GJ17-12386Y
Institucionální podpora: RVO:67985556
Klíčová slova: financial agent-based models * parameterization * complex systems * multifractal sensitivity analysis
Obor OECD: Economic Theory
Impakt faktor: 2.000, rok: 2021
Způsob publikování: Omezený přístup
http://library.utia.cas.cz/separaty/2021/E/kukacka-0547638.pdf https://www.sciencedirect.com/science/article/pii/S0167268121004339
Trvalý link: http://hdl.handle.net/11104/0323840 - 4.0542344 - FLÚ 2022 RIV CH eng J - Článek v odborném periodiku
Maziarz, M. - Zach, Martin
Assessing the quality of evidence from epidemiological agent-based models for the COVID-19 pandemic.
History and Philosophy of the Life Sciences. Roč. 43, č. 1 (2021), č. článku 10. ISSN 0391-9714. E-ISSN 1742-6316
Institucionální podpora: RVO:67985955
Klíčová slova: SARS-CoV-2 * EBM * Agent-based models
Obor OECD: Philosophy, History and Philosophy of science and technology
Impakt faktor: 1.452, rok: 2021
Způsob publikování: Open access
https://doi.org/10.1007/s40656-020-00357-4
Trvalý link: http://hdl.handle.net/11104/0319774Název souboru Staženo Velikost Komentář Verze Přístup 2021_J_0542344.pdf 1 381.6 KB Vydavatelský postprint povolen - 5.0522039 - ÚTIA 2021 RIV NL eng J - Článek v odborném periodiku
Kukačka, Jiří - Krištoufek, Ladislav
Do ‘complex’ financial models really lead to complex dynamics? Agent-based models and multifractality.
Journal of Economic Dynamics & Control. Roč. 113, č. 1 (2020), č. článku 103855. ISSN 0165-1889. E-ISSN 1879-1743
Grant CEP: GA ČR(CZ) GJ17-12386Y
Institucionální podpora: RVO:67985556
Klíčová slova: complex systems * financial agent-based models * time series analysis * multifractal analysis * detrended fluctuation analysis
Obor OECD: Finance
Impakt faktor: 1.588, rok: 2020
Způsob publikování: Omezený přístup
https://www.sciencedirect.com/science/article/pii/S0165188920300257 http://library.utia.cas.cz/separaty/2020/E/kukacka-0522039.pdf
Trvalý link: http://hdl.handle.net/11104/0306972 - 6.0494081 - NHU-C 2019 RIV US eng J - Článek v odborném periodiku
Begušić, S. - Kostanjčar, Z. - Kovač, Dejan - Stanley, H. E. - Podobnik, B.
Information feedback in temporal networks as a predictor of market crashes.
Complexity. Roč. 2018, č. 2018 (2018), s. 1-13, č. článku 2834680. ISSN 1076-2787. E-ISSN 1099-0526
Institucionální podpora: Progres-Q24
Klíčová slova: agent-based models * financial-markets * systemic risk
Obor OECD: Finance
Impakt faktor: 2.591, rok: 2018
Trvalý link: http://hdl.handle.net/11104/0287311