A partially hardcoded computational model of arbitrarily applicable relational responding

IF 3.1 3区心理学 Q1 PSYCHOLOGY, CLINICAL

Journal of Contextual Behavioral Science Pub Date : 2026-04-01 Epub Date: 2026-05-06 DOI:10.1016/j.jcbs.2026.101002

Matthias Raemaekers, Martin Finn, Jan De Houwer

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引用次数: 0

Abstract

Relational Frame Theory (RFT) has inspired a considerable body of research demonstrating fundamental aspects of arbitrarily applicable relational responding (AARR) purported to be the building blocks of human language and cognition. Current empirical research has certain limitations, however. Computational modelling allows researchers to circumvent certain practical limitations to studying (the development of) complex forms of AARR and force them to scrutinize the theory, yet limited research has sought to develop computational models of AARR. RFT can guide researchers developing computational models of AARR by emphasizing its operant and context-sensitive nature and by clarifying the nature of the learning history that is required for its development. We describe a partially hardcoded computational model of AARR inspired by RFT. By combining computational reinforcement learning with hardcoded relational knowledge, we simulate AARR as observed in a conceptual replication of the seminal Steele and Hayes (1991) study. Our results add to a growing literature modeling relational behavior and illustrate that RFT can be useful for researchers interested in computational modelling. Implications and future research directions are discussed.

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任意适用的关系响应的部分硬编码计算模型

关系框架理论（RFT）激发了大量的研究，展示了任意适用的关系响应（AARR）的基本方面，据称这是人类语言和认知的基石。然而，目前的实证研究存在一定的局限性。计算模型允许研究人员规避研究（发展）复杂形式的AARR的某些实际限制，并迫使他们仔细检查理论，然而有限的研究已经寻求开发AARR的计算模型。RFT可以通过强调其操作性和上下文敏感性以及阐明其发展所需的学习历史的性质来指导研究人员开发AARR的计算模型。我们描述了一个受RFT启发的部分硬编码的AARR计算模型。通过将计算强化学习与硬编码的关系知识相结合，我们模拟了在开创性的Steele和Hayes（1991）研究的概念复制中观察到的AARR。我们的研究结果增加了对关系行为建模的文献，并说明RFT对对计算建模感兴趣的研究人员很有用。讨论了研究的意义和未来的研究方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Contextual Behavioral Science PSYCHOLOGY, CLINICAL-

CiteScore

8.50

自引率

18.00%

发文量

审稿时长

61 days

期刊介绍： The Journal of Contextual Behavioral Science is the official journal of the Association for Contextual Behavioral Science (ACBS). Contextual Behavioral Science is a systematic and pragmatic approach to the understanding of behavior, the solution of human problems, and the promotion of human growth and development. Contextual Behavioral Science uses functional principles and theories to analyze and modify action embedded in its historical and situational context. The goal is to predict and influence behavior, with precision, scope, and depth, across all behavioral domains and all levels of analysis, so as to help create a behavioral science that is more adequate to the challenge of the human condition.