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YANG Gong-li 《环球赛鸽科技》2014,(35)
The underlying theory of the summer influenza transmission peaks in tropical area and subtropical area in East Asia is still unclear. We built an agent-based model (ABM) to simulate the influenza trans... 相似文献
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This paper reports on a study in which students used agent-based computer models to learn about complex systems ideas of relevance to understanding climate change. The experimental condition used a Productive Failure (PF) learning design in which ninth grade students initially worked with agent-based computer models to solve challenge problems followed by teacher instruction about targeted climate and complexity ideas. In contrast, the comparison condition employed a Direct Instruction (DI) learning design in which the teacher instruction was provided initially, followed by the students working on the same computer models and challenge problems as the experimental group. The students in the PF group scored significantly higher on the post-test on measures of climate and complex systems explanatory knowledge and near and far knowledge transfer. Theoretical and practical implications of these findings are considered. 相似文献
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Simulation of game analysis based on an agent-based artificial stock market re-examined 总被引：1，自引：0，他引：1
LIU Cheng WU Yi-li YAN Gang-feng 《浙江大学学报(A卷英文版)》2006,7(4):564-569
INTRODUCTION The Santa Fe Institute Artificial Stock Market (SFI-ASM) is a stochastic discrete event agent based model that simulates a market in which a number of agents choose between investing in a risk-free bond with a fixed interest rate, and a stock with an autore- gressive stochastic dividend. In contrast to mathe- matical models of stock markets based on unrealistic assumptions of agents’ knowledge and processing power, the model had been shown to demonstrate features observe… 相似文献
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个体由于认知能力的限制,通常集体完成复杂任务,表现出群体智能的现象。而如何提高群体智能一直是重要的研究问题。基于NK模型建立多主体仿真实验,本文探究隔离团队重组对集体问题解决能力的影响。仿真结果表明,团队重组频数与集体表现呈倒U关系,即适当的团队重组可以提高集体问题解决的能力,同时与半隔离团队对比发现,团队重组可以媲美半隔离团队的功能,并且在集体表现上具有更强的稳定性,因此团队重组具有更强的操作性。此外,权变理论分析发现,不存在团队重组时,群体应当保持较大的团队规模,较小的人员流动,较小的个体学习速率;存在团队重组时,群体应该保持较小的团队规模,较小的人员流动率,适当的个体学习速率。此外,在复杂问题面前,团队重组对提高群体解决问题能力的作用更为显著。 相似文献
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《Sport Management Review》2020,23(4):688-703
In professional sports, the amounts disbursed in rank-based prize money distributions decline sharply, and differences in performance are extremely small. This disparity may provide a high incentive for doping. Due to the complexity of doping, obtaining meaningful insights on the influence of prize money distribution and the pecuniary value of prize money on doping behaviour of elite athletes using game theory or other approaches has not been possible. The authors perform a computerised social simulation through agent-based modelling to analyse doping behaviour in competitive sport. The results show that the distribution of prize money in particular has an enormous impact on the prevalence of doping. By contrast, the total amount of prize money is less decisive for doping behaviour. Further, doping costs are observed to have only a marginal effect on doping prevalence, depending on the tested prize money distribution and its amount. The simulation results can be used by sports federations and competition organisers who should distribute the prize money more evenly to all athletes to reduce doping. 相似文献
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Constructing knowledge with an agent-based instructional program: A comparison of cooperative and individual meaning making 总被引：2，自引：2，他引：0
Participants in the present study were 87 college students who learned about botany using an agent-based instructional program with three different learning approaches: individual, jigsaw, or cooperative learning. Results showed no differences among learning approaches on retention. Students in jigsaw groups reported higher cognitive load during learning than students who learned individually; scored lower on a problem-solving transfer test than students in individual and cooperative learning groups; and were less likely to produce elaborated explanations and co-construct knowledge with their peers than students in cooperative groups. Students in cooperative groups reported higher situational interest than their counterparts. Implications for cooperative and individual meaning making in agent-based instructional programs are discussed and future research directions are suggested. 相似文献
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Students’ Learning with the Connected Chemistry (CC1) Curriculum: Navigating the Complexities of the Particulate World 总被引：4，自引：3，他引：1
The focus of this study is students’ learning with a Connected Chemistry unit, CC1 (denotes Connected Chemistry, chapter 1),
a computer-based environment for learning the topics of gas laws and kinetic molecular theory in chemistry (Levy and Wilensky
2009). An investigation was conducted into high-school students’ learning with Connected Chemistry, based on a conceptual framework
that highlights several forms of access to understanding the system (submicro, macro, mathematical, experiential) and bidirectional
transitions among these forms, anchored at the common and experienced level, the macro-level. Results show a strong effect
size for embedded assessment and a medium effect size regarding pre-post-test questionnaires. Stronger effects are seen for
understanding the submicroscopic level and bridging between it and the macroscopic level. More than half the students succeeded
in constructing the equations describing the gas laws. Significant shifts were found in students’ epistemologies of models:
understanding models as representations rather than replicas of reality and as providing multiple perspectives. Students’
learning is discussed with respect to the conceptual framework and the benefits of assessment of learning using a fine-tuned
profile and further directions for research are proposed.
Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.
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| Sharona T. LevyEmail: |
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Due to numerous uncertainties such as bad weather conditions, frequent changes in the schedules of vessels, breakdowns of equipment, port managers are aiming at providing adaptive and flexible strategic planning of their facilities, especially intermodal terminals. In this research, we investigate a two-stage optimization of intermodal terminals main parameters via using AnyLogic simulation platform. We have developed a set of hybrid simulation models to optimize the main parameters of intermodal terminals which are also called dry ports. To make an express evaluation of the preliminary implementation of dry ports, we have developed an agent-based system dynamics simulation model to achieve the stable state of the main parameters of intermodal terminals. To clarify the obtained averaged benefits of the main dry ports parameters while the port managers make key decisions on the investments into implementation of intermodal terminals, we have developed an agent-based discrete-event simulation model of a seaport – a dry port system. We show that the combination of the agent-based modeling with other simulation approaches simplifies the process of designing simulation models and increases their visibility. The developed set of models allows us to compute the balanced values of the parameters, while an effective operation of a seaport – intermodal terminal system is achieved. On the basis of the provided case study on one of the busiest ports in China, we prove the adequacy and validity of the developed simulation models. Due to the lack of systematic approach to optimization of the main parameters of intermodal terminals in logistic industry, our findings set herein could improve the decision-making process related to the selection of strategic facility planning in the field of intermodal terminals. 相似文献
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随着计算机网络及通讯技术的发展和广泛应用,人们对虚拟学习社区产生了浓厚的兴趣。由于虚拟学习社区的形成不同于现实生活中的社区,其成员之间是一种隐性关系,这种关系会随着时间的推移而发生变化。因此对虚拟学习社区的研究是网络时代不可回避的课题。为了帮助人们更好地理解虚拟学习社区,以便对其的建立、运行、预测和管理提供可测量的依据。文章就此提出了虚拟学习社区的定量研究框架,并讨论了其中的关键技术。 相似文献
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