基于复杂适应性系统的众包翻译平台的模型与仿真

众包系统是一个复杂适应性系统,这一性质是提出新的众包平台研究方法的重要基础.众包是社会计算中一门新兴的研究领域,基于网络是众包的主要特征,互不相识的人们通过互联网进行合作创新和利润分成.不同的众包平台采用了不同的机制设计,良好的机制设计是众包平台稳定发展的基础.基于复杂适应系统,为研究众包平台提供了新的思路.以众包翻译平台为例,使用复杂适应性系统中的"主体"来模拟众包中各个角色,初步构建了众包平台中的主体模型,定义了主体的状态转换以及主体间行为和交互规则,最后,建立了一个简单的仿真框架,通过对多主体合作博弈过程的动态模拟来演示一个众包平台的发展过程,从而验证各种众包机制的合理性,为众包系统的平台设计、机制设计提供可靠和可信的依据,为研究众包平台提供了方便的模拟环境.

Modeling and Simulating of Crowdsourcing Translation Platform Based on Complex Adaptive System

Crowdsourcing system is a complex adaptive system. The method of crowdsourcing research proposed in this paper is mainly based on this property. Crowdsourcing is an emerging research field of social computing, basing on network is its main feature. Unfamiliar people could make collaborative innovation and profit sharing through the Internet by crowdsourcing. The mechanism design of the crowdsourcing platform always varies from one to another, and a good mechanism design is the basis for stable development of crowdsourcing platform. Based on the theory of complex adaptive system, this paper proposes a new way to research crowdsourcing platform. This paper takes crowdsourcing translation as the research platform, using the concept of Agent in complex adaptive system to model and simulate the roles among crowdsourcing platform. After research, the Agent models are constructed primitively. Besides, the rules of Agent state transition and interaction between the Agents are defined. At last, we establish a simple simulation framework, by dynamic simulating of multi-agent collaboration, to simulate the development of a crowdsourcing platform and verify the reasonableness of the designed mechanisms, which could provide a reliable, credible basis for the design of the crowdsourcing platform and a convenient simulation environment for the study of crowdsourcing platform.