Learning through participatory simulations

Wilensky, Uri; Stroup, Walter M.

doi:10.3115/1150240.1150320

Cited by 157 publications

(98 citation statements)

References 5 publications

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“…We implemented ABM in an open-source software program, NetLogo version 5.0.5 [46]. The model can be downloaded from the Supplementary Material of this article (available at doi:10.1007/s40273-015-0254-2).…”

Section: Methodsmentioning

confidence: 99%

“…Figure 2 provides two examples of infectious disease networks. Figure 2a demonstrates the spread of a virus through a network where each node may be in one of three states: susceptible, infected or resistant [15,16]. Figure 2b presents a network with the small-world phenomenon, i.e.…”

Section: Network Structurementioning

confidence: 99%

“…Figure 2b presents a network with the small-world phenomenon, i.e. a person is only a few connections away from any other person in the world [16,17].…”

Section: Network Structurementioning

confidence: 99%

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Economic Evaluations with Agent-Based Modelling: An Introduction

Chhatwal

2015

PharmacoEconomics

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Agent-based modelling (ABM) is a relatively new technique, which overcomes some of the limitations of other methods commonly used for economic evaluations. These limitations include linearity, homogeneity and stationarity. Agents in ABMs are autonomous entities, who interact with each other and with the environment. ABMs provide an inductive or 'bottom-up' approach, i.e. individual-level behaviours define system-level components. ABMs have a unique property to capture emergence phenomena that otherwise cannot be predicted by the combination of individual-level interactions. In this tutorial, we discuss the basic concepts and important features of ABMs. We present a case study of an application of a simple ABM to evaluate the cost effectiveness of screening of an infectious disease. We also provide our model, which was developed using an open-source software program, NetLogo. We discuss software, resources, challenges and future research opportunities of ABMs for economic evaluations. Key Points for Decision MakersAgent-based modelling (ABM) is more flexible than other modelling methods commonly used for economic evaluations, and can provide insights into dynamic interactions among real-world phenomena.ABMs can be more challenging to construct than other modelling methods.The need for ABMs is expected to increase as decision-making becomes more complex and as data availability increases.

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Section: Methodsmentioning

confidence: 99%

Section: Network Structurementioning

confidence: 99%

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Economic Evaluations with Agent-Based Modelling: An Introduction

Chhatwal

2015

PharmacoEconomics

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“…Cabe ressaltar que pesquisas empíricas com vistas à calibragem do modelo constituem uma etapa posterior da presente investigação, de modo que, por ora, serão utilizados parâmetros considerados plausíveis. O software utilizado é o Netlogo 3.1.5 (Wilensky, 1999 …”

Section: Evolução Do Sistemaunclassified

Instabilidade financeira no espaço: uma abordagem monetária da dinâmica econômica regional

Paula

Crocco

2014

Econ. soc.

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ResumoO trabalho tem como objetivo analisar a relação entre variáveis monetárias e a distribuição espacial das atividades produtivas em um contexto de moeda não neutra. A metodologia consiste na construção e implementação computacional de um modelo de simulação baseado em agentes (agent-based model).Propõe-se um sistema econômico artificial que conecta, por meio do mercado de crédito, os setores produtivo e financeiro, em que o primeiro é caracterizado por concorrência imperfeita (economias de escala e diferenciação assimétrica de produtos) e o segundo, por comportamentos especulativos determinados pela preferência à liquidez. Como resultado, instabilidades geradas endogenamente foram observadas nas simulações, com efeitos sobre a distribuição inter-regional das atividades produtivas. O modelo reproduz importantes regularidades em economia regional, entre as quais uma distribuição rank-size consistente com a Lei de Zipf. Como implicação de política econômica, os resultados sugerem a necessidade da introdução de elementos regionalmente diferenciados na política monetária. Palavras-chave:Região; Moeda; Agentes. Abstract Financial instability on space: a monetary approach of the regional economic dynamicThis essay aims to analyses the relationship between monetary variables and the spatial distribution of productive activities in a context of non-neutrality of money. The methodology is based on construction and computational implementation of an agent based model which links the productive sector with the financial side of the economy. The productive sector is characterized by imperfect competition (economies of scale and asymmetric product differentiation) and the financial market by speculative behaviors determined by liquidity preference. Among the results, an endogenous instability is observed with impacts on the inter-regional distribution of economic activities. The model reproduces an important stylized fact in regional economics, the Zipf Law, and suggests the need of introducing differentiated regional components in monetary policy.

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“…Many ABM platforms (Repast [8], NetLogo [9], Swarm [7] or GAMA [3]) have been developed and used by researchers [3,10]. In the context of collaborative research, one major question is: How can geographically diverse researchers effectively work together to conduct ABM simulations without regard to the ABM platforms used?…”

Section: Introductionmentioning

confidence: 99%

PAMS – A New Collaborative Framework for Agent-Based Simulation of Complex Systems

Nguyen-Trong¹,

Marilleau²,

Ho³

2008

Intelligent Agents and Multi-Agent Systems

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Abstract.Major researches in the domain of complex systems are interdisciplinary, collaborative and geographically distributed. The purpose of our work is to explore a new collaborative approach that facilitates scientist's interactions during the modelling and simulating process. The originality of the presented approach is to consider models and simulators as a board of the collaboration: a shared object manipulated by a group of scientists. Agent-based simulations are powerful tools for studying complex systems. In this context, we develop a collaborative platform dedicated to agent-based simulation (PAMS). This new environment integrates common collaborative tools (e.g. videoconferencing, instant messaging, whiteboard) and specific tools to share and manipulate models, simulators, experiments and results... The current version of PAMS is based technologies coming from distributed systems. Today PAMS has been designed to support major agent based simulation frameworks. This paper aims to give an overview of the PAMS environment by defining the collaborating approach, the framework architecture and an example of its utilization.

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Learning through participatory simulations

Cited by 157 publications

References 5 publications

Economic Evaluations with Agent-Based Modelling: An Introduction

Economic Evaluations with Agent-Based Modelling: An Introduction

Instabilidade financeira no espaço: uma abordagem monetária da dinâmica econômica regional

PAMS – A New Collaborative Framework for Agent-Based Simulation of Complex Systems

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