Review of Agent-Based Evacuation Models in Python

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F23%3A50020937" target="_blank" >RIV/62690094:18450/23:50020937 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-49008-8_40" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-49008-8_40</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-49008-8_40" target="_blank" >10.1007/978-3-031-49008-8_40</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of Agent-Based Evacuation Models in Python

Popis výsledku v původním jazyce

The aim of this paper is to explore agent-based evacuation models in Python by conducting a systematic literature search using the PRISMA methodology. The principles of evacuation models are briefly described. Python packages and libraries for agent-based modelling frameworks are explained. Two research questions are defined. The first question aims to find out what typical current agent-based evacuation models look like in sense of application domain and location, number of agents, time and space scale etc.). The second question focuses on the details of the use of the Python programming language and libraries in implementations of agent-based evacuation models. The results of the PRISMA review are presented. Overall, Python is a suitable language for the development of agent-based evacuation models, as evidenced by the number of programming libraries and tools, as well as the growing number of scientific publications in last six years. However, most of the currently published models suffer from many shortcomings. A main surprise is the lack of adherence to standards in describing the agent-based computational model, providing source code and sharing documentation of experiments.

Název v anglickém jazyce

Review of Agent-Based Evacuation Models in Python

Popis výsledku anglicky

The aim of this paper is to explore agent-based evacuation models in Python by conducting a systematic literature search using the PRISMA methodology. The principles of evacuation models are briefly described. Python packages and libraries for agent-based modelling frameworks are explained. Two research questions are defined. The first question aims to find out what typical current agent-based evacuation models look like in sense of application domain and location, number of agents, time and space scale etc.). The second question focuses on the details of the use of the Python programming language and libraries in implementations of agent-based evacuation models. The results of the PRISMA review are presented. Overall, Python is a suitable language for the development of agent-based evacuation models, as evidenced by the number of programming libraries and tools, as well as the growing number of scientific publications in last six years. However, most of the currently published models suffer from many shortcomings. A main surprise is the lack of adherence to standards in describing the agent-based computational model, providing source code and sharing documentation of experiments.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I

ISBN

978-3-031-49007-1

ISSN

2945-9133

e-ISSN

1611-3349

Počet stran výsledku

12

Strana od-do

511-522

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Horta, Faial Island, Azores

Datum konání akce

5. 9. 2023

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

001160573500040