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Agent Simulation of Peer Review: The PR-1 Model

机译:同行评审的代理商模拟:PR-1模型

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摘要

Peer review lies at the core of current scientific research. It is composed of a set of social norms, practices and processes that con nect the abstract scientific method with the society of people that apply the method. As a social construct, peer review should be understood by building theory-informed models and comparing them with data collec tion. Both these activities are evolving in the era of automated com putation and communication: new modeling tools and large bodies of data become available to the interested scholar. In this paper, starting from abstract principles, we develop and present a model of the peer review process. We also propose a working implementation of a subset of the general model, developed with Jason, a framework that implements the Belief-Desire-Intention (BDI) model for multi agent systems. After running a set of simulations, varying the initial distribution of reviewer skill, we compare the aggregates that our simplified model produces with recent findings, showing how for some parameter choice the model can generate data in qualitative agreement with measures.
机译:同行评审是当前科学研究的核心。它由一系列将抽象科学方法与应用该方法的人们社会联系起来的社会规范,实践和过程组成。作为一种社会建构,同行评议应该通过建立理论依据的模型并将其与数据收集进行比较来理解。这两项活动都在自动计算和通信时代不断发展:有兴趣的学者可以使用新的建模工具和大量数据。在本文中,我们从抽象原理开始,开发并提出了同行评审过程的模型。我们还提出了由Jason开发的通用模型子集的工作实现,Jason是一个框架,该框架为多主体系统实现了Belief-Desire-Intention(BDI)模型。在运行了一组模拟之后,改变了审阅者技能的初始分布,我们将简化模型产生的集合与最近的发现进行了比较,显示了模型如何针对某些参数选择生成与度量定性一致的数据。

著录项

  • 来源
    《Multi-agent-based simulation XII.》|2011年|p.1-14|共14页
  • 会议地点 Taipei(CT);Taipei(CT);Taipei(CT);Taipei(CT)
  • 作者单位

    Departament d'Informatica Universitat de Valencia Av. Vicent Andres Estelles, s, Burjassot, Spain, 46100;

    Italian National Research Council (CNR) Institute of Cognitive Sciences and Technologies (ISTC) Viale Marx 15, Roma, Italy, RM 00137;

    Italian National Research Council (CNR) Institute of Cognitive Sciences and Technologies (ISTC) Viale Marx 15, Roma, Italy, RM 00137;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 人工智能理论;人工智能理论;
  • 关键词

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