Faculty of Psychology, University of Warsaw.
Institute of Philosophy and Sociology, Polish Academy of Sciences.
Cogn Sci. 2020 Jul;44(7):e12867. doi: 10.1111/cogs.12867.
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains only loosely connected both to its computational framework and to its hypothetical biological underpinnings, which makes its fundamentals unclear. Instead of offering explanations that refer to the same set of principles, we observe systematic equivocations in PP-based models, or outright contradictions with its avowed principles. To make matters worse, PP-based models are seldom empirically validated, and they are frequently offered as mere just-so stories. The large number of PP-based models is thus not evidence of theoretical progress in unifying perception, action, and cognition. On the contrary, we maintain that the gap between theory and its biological and computational bases contributes to the arrested development of PP as a unificatory theory. Thus, we urge the defenders of PP to focus on its critical problems instead of offering mere re-descriptions of known phenomena, and to validate their models against possible alternative explanations that stem from different theoretical assumptions. Otherwise, PP will ultimately fail as a unified theory of cognition.
预测加工(PP)被反复提出作为感知、行动和认知的统一解释。在本文中,我们认为这还为时过早:作为一种统一理论,PP 未能提供普遍、简单、同质和系统的解释。通过考察其当前的发展轨迹,我们得出结论,PP 与其计算框架和假设的生物基础之间仍然只是松散地联系在一起,这使得其基本原理不清楚。我们观察到基于 PP 的模型中存在系统的混淆,或者与其宣称的原则直接矛盾,而不是提供涉及同一组原则的解释。更糟糕的是,基于 PP 的模型很少经过实证验证,并且它们经常被作为仅仅是合理的故事提供。大量基于 PP 的模型并不是统一感知、行动和认知的理论进展的证据。相反,我们认为,理论与其生物和计算基础之间的差距导致 PP 作为一种统一理论的发展停滞不前。因此,我们敦促 PP 的捍卫者关注其关键问题,而不是仅仅重新描述已知现象,并针对源自不同理论假设的可能替代解释来验证他们的模型。否则,PP 将最终作为一种统一的认知理论而失败。