Lanovaz Marc J
École de psychoéducation, Université de Montréal, C.P. 6128, succursale Centre-Ville, Montreal, QC H3C 3J7 Canada.
Centre de recherche de l'Institut universitaire en santé mentale de Montréal, Montreal, Canada.
Perspect Behav Sci. 2022 Mar 31;45(2):399-419. doi: 10.1007/s40614-022-00332-3. eCollection 2022 Jun.
Researchers and practitioners recognize four domains of behavior analysis: radical behaviorism, the experimental analysis of behavior, applied behavior analysis, and the practice of behavior analysis. Given the omnipresence of technology in every sphere of our lives, the purpose of this conceptual article is to describe and argue in favor of a fifth domain: machine behavior analysis. Machine behavior analysis is a science that examines how machines interact with and produce relevant changes in their external environment by relying on replicability, behavioral terminology, and the philosophical assumptions of behavior analysis (e.g., selectionism, determinism, parsimony) to study artificial behavior. Arguments in favor of a science of machine behavior include the omnipresence and impact of machines on human behavior, the inability of engineering alone to explain and control machine behavior, and the need to organize a verbal community of scientists around this common issue. Regardless of whether behavior analysts agree or disagree with this proposal, I argue that the field needs a debate on the topic. As such, the current article aims to encourage and contribute to this debate.
激进行为主义、行为的实验分析、应用行为分析以及行为分析实践。鉴于技术在我们生活的各个领域无处不在,这篇概念性文章的目的是描述并支持第五个领域:机器行为分析。机器行为分析是一门科学,它通过依靠可重复性、行为术语以及行为分析的哲学假设(如选择主义、决定论、简约性)来研究人工行为,从而考察机器如何与外部环境相互作用并在其中产生相关变化。支持机器行为科学的论据包括机器在人类行为中的无处不在及其影响、仅靠工程学无法解释和控制机器行为,以及围绕这一共同问题组织科学家的言语共同体的必要性。无论行为分析师是否同意这一提议,我认为该领域需要就这一话题展开辩论。因此,本文旨在鼓励并推动这场辩论。