An Introduction to Agent-based Modeling for Undergraduates

Shiflet, Angela B.; Shiflet, George W.

doi:10.1016/j.procs.2014.05.126

Cited by 40 publications

(35 citation statements)

References 3 publications

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“…Other applications include: consumers' behavior in online social networks [45,74] and consumers' satisfaction [75], information diffusion in social networking [76], learning [77][78][79][80][81][82][83][84], management and decision making [85], and resources allocation [86].…”

Section: Examples Of Agent-based Modeling Applicationsmentioning

confidence: 99%

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

et al. 2019

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Social influence has a positive impact on the purchase intention for eco-friendly products along with other subjective and objective aspects related to environmental attitude, product attitude, and subjective and objective knowledge. Also, exposure to media has been proven to have a significant positive affect on environmental attitude, with effect on the purchase intention. Several recent studies have shown the importance of consumers’ influence in online social networks, underlying the role played by the online environments over consumers’ attitude. As a result, the current research tries to analyze the influence exerted on consumers’ decision to purchase eco-friendly products by their activity in online social environments. Using a questionnaire, filled-in by 409 respondents, a series of variables have been extracted with regard to the eco-friendly products. An agent-based model has been created, fed with the values of the variables extracted from the questionnaire, and used for simulations. As a result, it has been observed that an increase in online media exposure can have a high positive impact on the eco-friendly product adoption. Depending on the type of product—soft or durable good—different times for the eco-friendly product adoption have been determined relatively to the considered variables. Last, the possible limitations of using an agent-based modeling approach are discussed, along with possible extensions and improvements.

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Section: Examples Of Agent-based Modeling Applicationsmentioning

confidence: 99%

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

et al. 2019

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“…These characteristics make it easier to use than programming in a Javabased language (for example). Another 16% of publications used NetLogo, which is widely considered to be the easiest software to use for agent-based modeling (Shiflet and Shiflet 2014) and has a robust user community, as well as several good tutorials. Two relatively prolific groups used software they developed in-house.…”

Section: Softwarementioning

confidence: 99%

State of the Art in Agent-Based Modeling of Urban Crime: An Overview

2018

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Objectives Agent-based modeling (ABM) is a type of computer simulation that creates a virtual society and allows controlled experimentation. ABM has the potential to be a powerful tool for exploring criminological theory and testing the plausibility of crime prevention interventions when data are unavailable, when they would be unethical to collect, or when policy-makers need an answer quickly. This paper takes stock of the current literature to discuss the potential contributions of ABM, assess current practice, identify shortcomings that threaten the validity of findings using ABM, and to make suggestions regarding the construction and communication of future work using ABM. Methods We systematically searched major databases to find all publications using ABM to simulate urban crime patterns and coded publications to quantify the following information: (1) characteristics of the publication, the model and the agents, (2) model purpose, (3) crime type investigated, and (4) interrogation of the model via sensitivity testing and validation. Results After sifting papers according to our inclusion criteria, we identified and reviewed 45 publications. Models informed by the opportunity theory framework dominated. Most publications lacked detail sufficient to enable replication. Many did not include clear a rationale for modeling choices, parameter selection or calibration. Rarely were parameters

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“…A Figura 3 apresenta a visão geral do protótipo criado para a simulação do modelo implementado usando NetLogo 5.0, um ambiente de modelagem e programação multi-agente [21] A Tabela 2 apresenta os resultados médios consolidados para 10 rodadas de cada um dos cenários, contemplando quatro métricas de desempenho para o contexto de TT: número de negociações de TT, número de TT efetivadas, número de avaliações positivas das parcerias de TT e número de avaliações negativas das parcerias de TT. Uma avaliação negativa não é suficiente para o rompimento de uma parceria, mas contribui para que essa ocorra ao longo do tempo.…”

Section: Experimentosunclassified

Um Modelo Baseado Em Agentes Para Transferência De Tecnologia

Reis¹,

Vaccaro²

2016

Anais Do XVIII Simpósio De Pesquisa Operacional &Amp; Logística Da Marinha

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ResumoTransferência de Tecnologia (TT) é o negócio resultante da interação entre agentes que concordam em trocar posse, conhecimento e valor, beneficiando-se desta troca. De modo amplo, esses agentes estão organizados em quatro classes: empresa, centro tecnológico, universidade e governo. Em tal contexto, as negociações sofrem influência de fatores como: número de fornecedores de uma dada tecnologia, o conhecimento disponível em uma tecnologia específica, e a relação custo versus ganho esperado na operação. Assim, diferentes comportamentos emergem, competitivos e cooperativos, dependendo da relação desses fatores. Consequentemente, entender os mecanismos que inibem ou estimulam relações de TT pode oferecer suporte para a definição mais precisa de políticas setoriais e governamentais de estímulo a esse tipo de negociação. Uma abordagem para capturar e investigar esse tipo de fenômeno é a Modelagem e Simulação baseada em Agentes. Este artigo investiga a aplicação de um modelo baseado em agentes para extrair relações no contexto de TT, analisando ações para aumentar o número de negociações firmadas. O modelo considera dois tipos de agentes: empresa e universidade. Os resultados indicam a influência complexa do ambiente sobre a dinâmica das relações de TT. Palavras-Chaves:Agentes; Simulação; Transferência de Tecnologia; Abstract Technology Transfer (TT) is the business resulting from the interaction between agents who agree to exchange ownership, knowledge and value, benefiting from this exchange. In generally, these agents are organized into four classes: firm, technology center, university and government. In this context, negotiations are influenced by factors such as number of a given technology suppliers, the knowledge available on a specific technology, and cost versus expected gain in the operation. Thus, different behaviors emerge, competitive and cooperative, depending on the relationship of these factors. Consequently, understanding the mechanisms that inhibit or stimulate TT relations can support a more precise definition of sectorial and government policies to stimulate this kind of negotiation. One approach to capture and investigate this kind of phenomenon is the agents-based modeling and simulation. This article investigates the use of an agent-based model based for extracting relations in the context of TT, analyzing actions to increase the number of signed negotiations. The model considers two types of agents: company and university. The results indicate the complex influence of the environment on the dynamics of relations TT.

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An Introduction to Agent-based Modeling for Undergraduates

Cited by 40 publications

References 3 publications

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

Modeling the Consumers Opinion Influence in Online Social Media in the Case of Eco-friendly Products

State of the Art in Agent-Based Modeling of Urban Crime: An Overview

Um Modelo Baseado Em Agentes Para Transferência De Tecnologia

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