This paper examines the interdisciplinary research question of how to integrate Computational Argumentation, as studied in AI, with Cognition, as can be found in Cognitive Science, Linguistics, and Philosophy. It stems from the work of the 1st Workshop on Computational Argumentation and Cognition (COGNITAR), which was organized as part of the 24th European Conference on Artificial Intelligence (ECAI), and took place virtually on September 8th, 2020. The paper begins with a brief presentation of the scientific motivation for the integration of Computational Argumentation and Cognition, arguing that within the context of Human-Centric AI the use of theory and methods from Computational Argumentation for the study of Cognition can be a promising avenue to pursue. A short summary of each of the workshop presentations is given showing the wide spectrum of problems where the synthesis of the theory and methods of Computational Argumentation with other approaches that study Cognition can be applied. The paper presents the main problems and challenges in the area that would need to be addressed, both at the scientific level but also at the epistemological level, particularly in relation to the synthesis of ideas and approaches from the various disciplines involved.
翻译:本文审查了大赦国际所研究的如何将计算参数与认知相结合的跨学科研究问题,正如认知科学、语言学和哲学学所发现的那样,该研究来自作为第二十四届欧洲人工智能会议(ECAI)的一部分而于2020年9月8日实际举行的第一次计算参数和认知问题讲习班(COGITAR)的工作,该讲习班于2020年9月8日实际举行。本文件首先简要介绍了将计算参数和认知结合的科学动机,认为在人文科学、语言学和哲学学学的范围内,利用理论和方法从计算参数和认知学研究的理论和方法可以是一个有希望的探讨途径。每期讲习班发言的简短摘要都说明了各种问题的广泛范围,其中综合了可与其他方法相结合的理论和方法,从而可以采用研究聚合方法。该文件介绍了在人类理论和认知学方面的主要问题和挑战,在科学层面,特别是从所涉的学科层面,还需要从各种学科层面,到各种学科层面,从分析层面,从各种学科层面,特别需要探讨。