東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Creation of Mesa, an Agent-Based Mod...

Kazil, Jacqueline L.

FindBook

Google Book

Amazon

博客來

Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python./
作者:	Kazil, Jacqueline L.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	130 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-08, Section: A.
Contained By:	Dissertations Abstracts International85-08A.
標題:	Systems science. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30814486
ISBN:	9798381716719

Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python.
Kazil, Jacqueline L.

Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 130 p.

Source: Dissertations Abstracts International, Volume: 85-08, Section: A.

Thesis (Ph.D.)--George Mason University, 2023.

Agent-based models enable researchers to create digital twins of real-world phenomena and test alternative policies computationally. This dissertation describes the creation of Mesa, an agent-based modeling framework in Python, one of the most popular programming languages in the world. Since 2014, I led the open-source software development effort called Mesa, articulating the basic design philosophy for agent-based models in Python and developing an efficient software architecture. Driven by volunteers, Mesa has facilitated research in the following domains: healthcare and medicine, energy markets and climate change, technology security and operations, biological systems and epidemiology, belief and value systems, supply chains, economies, autonomous systems, and more. Mesa has been cited in more than 350 published papers by more than 790 authors, and the number of projects using the framework runs in the thousands. The core package has had more than 133 contributors. Lastly, I discuss the opportunity to take Mesa from a general tool to an integrated ecosystem to increase research efficiency and standardize the approach to data and building models. Mesa could accelerate research further through community engagement via coding sprints, user research, and a digital community hub.

ISBN: 9798381716719Subjects--Topical Terms:

3168411
Systems science.
Subjects--Index Terms:

Agent-based modeling

Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python.
LDR:02469nmm a2200385 4500 001 2399244
005 20240909100801.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798381716719
035 $a (MiAaPQ)AAI30814486
035 $a AAI30814486
040 $a MiAaPQ $c MiAaPQ
100 1 $a Kazil, Jacqueline L. $0 (orcid)0000-0002-8300-7384 $3 3769218
245 1 0 $a Creation of Mesa, an Agent-Based Modeling Framework: Simulating the World in Python.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 130 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-08, Section: A.
500 $a Advisor: Axtell, Robert.
502 $a Thesis (Ph.D.)--George Mason University, 2023.
520 $a Agent-based models enable researchers to create digital twins of real-world phenomena and test alternative policies computationally. This dissertation describes the creation of Mesa, an agent-based modeling framework in Python, one of the most popular programming languages in the world. Since 2014, I led the open-source software development effort called Mesa, articulating the basic design philosophy for agent-based models in Python and developing an efficient software architecture. Driven by volunteers, Mesa has facilitated research in the following domains: healthcare and medicine, energy markets and climate change, technology security and operations, biological systems and epidemiology, belief and value systems, supply chains, economies, autonomous systems, and more. Mesa has been cited in more than 350 published papers by more than 790 authors, and the number of projects using the framework runs in the thousands. The core package has had more than 133 contributors. Lastly, I discuss the opportunity to take Mesa from a general tool to an integrated ecosystem to increase research efficiency and standardize the approach to data and building models. Mesa could accelerate research further through community engagement via coding sprints, user research, and a digital community hub.
590 $a School code: 0883.
650 4 $a Systems science. $3 3168411
650 4 $a Engineering. $3 586835
650 4 $a Information science. $3 554358
653 $a Agent-based modeling
653 $a Complex system modeling
653 $a Digital twin
653 $a Python framework
653 $a Simulation framework
690 $a 0790
690 $a 0537
690 $a 0723
710 2 $a George Mason University. $b Computational Social Sciences. $3 2098331
773 0 $t Dissertations Abstracts International $g 85-08A.
790 $a 0883
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30814486