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

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