H Van Dyke Parunak, Jason Greanya, Peggy McCarthy, Jonathan A Morell, Srikanth Nadella, Laura Sappelsa
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引用次数: 6
Abstract
SCAMP (Social Causality using Agents with Multiple Perspectives) is one of four social simulators that generated socially realistic data for the Ground Truth program. Unlike the other three simulators, it is based on a computational principle, stigmergy, inspired by social insects. Using this approach, we modeled conflict in a nation-state inspired by the ongoing scenario in Syria. This paper summarizes stigmergy and describes the Conflict World we built in SCAMP.
SCAMP (Social Causality using Agents with Multiple Perspectives)是为Ground Truth项目生成社会现实数据的四个社会模拟器之一。与其他三个模拟器不同的是，它基于一种计算原理，即受群居昆虫启发的污名化。使用这种方法，我们模拟了一个民族国家的冲突，灵感来自叙利亚正在进行的场景。本文总结了耻辱感，描述了我们在SCAMP中构建的冲突世界。
期刊介绍：
Computational and Mathematical Organization Theory provides an international forum for interdisciplinary research that combines computation, organizations and society. The goal is to advance the state of science in formal reasoning, analysis, and system building drawing on and encouraging advances in areas at the confluence of social networks, artificial intelligence, complexity, machine learning, sociology, business, political science, economics, and operations research. The papers in this journal will lead to the development of newtheories that explain and predict the behaviour of complex adaptive systems, new computational models and technologies that are responsible to society, business, policy, and law, new methods for integrating data, computational models, analysis and visualization techniques.
Various types of papers and underlying research are welcome. Papers presenting, validating, or applying models and/or computational techniques, new algorithms, dynamic metrics for networks and complex systems and papers comparing, contrasting and docking computational models are strongly encouraged. Both applied and theoretical work is strongly encouraged. The editors encourage theoretical research on fundamental principles of social behaviour such as coordination, cooperation, evolution, and destabilization. The editors encourage applied research representing actual organizational or policy problems that can be addressed using computational tools. Work related to fundamental concepts, corporate, military or intelligence issues are welcome.
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