从领域独立原语学习基于agent的模型的可解释逻辑

IF 2.2 3区 工程技术 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY Jasss-The Journal of Artificial Societies and Social Simulation Pub Date : 2023-01-01 DOI:10.18564/jasss.5087
Rory Greig, Chris Major, Michalina Pacholska, S. Bending, Jordi Arranz
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Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives
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来源期刊
CiteScore
7.40
自引率
9.50%
发文量
16
审稿时长
21 weeks
期刊介绍: The Journal of Artificial Societies and Social Simulation is an interdisciplinary journal for the exploration and understanding of social processes by means of computer simulation. Since its first issue in 1998, it has been a world-wide leading reference for readers interested in social simulation and the application of computer simulation in the social sciences. Original research papers and critical reviews on all aspects of social simulation and agent societies that fall within the journal"s objective to further the exploration and understanding of social processes by means of computer simulation are welcome.
期刊最新文献
Social Identity and Organizational Control: Results of an Agent-Based Simulation Unpacking a Black Box: A Conceptual Anatomy Framework for Agent-Based Social Simulation Models Conditions and Effects of Norm Internalization A Methodology to Develop Agent-Based Models for Policy Support Via Qualitative Inquiry Using Machine Learning for Agent Specifications in Agent-Based Models and Simulations: A Critical Review and Guidelines
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