From Conceptual Models to Agent-based Simulations: Why and How

被引：0

作者：

Vattam, Swaroop ^{[1
]}

Goel, Ashok K. ^{[1
]}

Rugaber, Spencer ^{[1
]}

Hmelo-Silver, Cindy ^{[2
]}

Jordan, Rebecca ^{[3
]}

机构：

[1] Georgia Inst Technol, Sch Interact Comp, Atlanta, GA 30332 USA

[2] Rutgers State Univ, Grad Sch Educ, New Brunswick, NJ USA

[3] Rutgers State Univ, Sch Environm & Biol Sci, New Brunswick, NJ USA

来源：

ARTIFICIAL INTELLIGENCE IN EDUCATION: BUILDING LEARNING SYSTEMS THAT CARE: FROM KNOWLEDGE REPRESENTATION TO AFFECTIVE MODELLING | 2009年 / 200卷

关键词：

Complex systems; interactive learning environments; modeling and simulation;

D O I：

10.3233/978-1-60750-028-5-593

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particular, we describe a computational technique that takes Structure-Behavior-Function models of complex systems and simulates the behavior of the modeled system in NetLogo, an agent-based programming and simulation environment. This technique has been implemented in an interactive learning environment to promote complex systems learning among middle school students.

引用

页码：593 / +

页数：2

共 50 条

[1] Agent-Based Models and Simulations in Economics and Social Sciences: From Conceptual Exploration to Distinct Ways of Experimenting
Phan, Denis
Varenne, Franck
[J]. JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2010, 13 (01):
[2] Why are economists sceptical about agent-based simulations?
Leombruni, R
Richiardi, M
[J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2005, 355 (01) : 103 - 109
[3] SCALABILITY IN DISTRIBUTED SIMULATIONS OF AGENT-BASED MODELS
Pawlaszczyk, Dirk
Strassburger, Steffen
[J]. PROCEEDINGS OF THE 2009 WINTER SIMULATION CONFERENCE (WSC 2009 ), VOL 1-4, 2009, : 1169 - 1180
[4] USING SYSML FOR CONCEPTUAL REPRESENTATION OF AGENT-BASED MODELS
Sha, Zhenghui
Le, Qize
Panchal, Jitesh H.
[J]. PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2011, VOL 2, PTS A AND B, 2012, : 39 - 50
[5] Learning differential equation models from stochastic agent-based model simulations
Nardini, John T.
Baker, Ruth E.
Simpson, Matthew J.
Flores, Kevin B.
[J]. JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2021, 18 (176)
[6] How to Describe Agent-Based Models in Population Studies?
Groeneveld, Juergen
Klabunde, Anna
O'Brien, Michelle L.
Grow, Andre
[J]. AGENT-BASED MODELLING IN POPULATION STUDIES: CONCEPTS, METHODS, AND APPLICATIONS, 2017, 41 : 237 - 254
[7] Why do we need Ontology for Agent-Based Models?
Livet, Pierre
Phan, Denis
Sanders, Lena
[J]. COMPLEXITY AND ARTIFICIAL MARKETS, 2008, 614 : 133 - 145
[8] Constructing approximation models based on agent-based simulations by genetic algorithms
Takao, Y
Ono, I
Ono, N
[J]. ICCIMA 2001: FOURTH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, PROCEEDINGS, 2001, : 231 - 235
[9] HOW TO DESIGN AGENT-BASED SIMULATION MODELS USING AGENT LEARNING
Junges, Robert
Klugl, Franziska
[J]. 2012 WINTER SIMULATION CONFERENCE (WSC), 2012,
[10] How group members contribute to group performance: Evidence from agent-based simulations
Douven, Igor
[J]. BEHAVIORAL AND BRAIN SCIENCES, 2016, 39 : e147

← 1 2 3 4 5 →