真人模特还是真人模特?论自由能原理中模型的使用

IF 1.2 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
T. van Es
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引用次数: 6

摘要

自由能原理(FEP)是研究生命系统的一种信息论方法。FEP通过生命系统对热力学第二定律的抵抗来描述生命:生命系统不会随机访问可能的状态,而是积极地工作以保持在一组可行的状态中。在FEP中,这是数学建模的。然而,这些模型的地位通常是不清楚的:这些模型是被生物体使用的,还是严格意义上的科学理解工具?在本文中,我主张在FEP中采用工具主义的模型。我认为,被科学家用作知识工具的模型和被生物体用于导航世界的模型正在被混为一谈,这导致了错误的结论。我进一步认为,现实主义者的立场是没有根据的。首先,它过度生成模型,从而使建模的概念变得无足轻重。其次,即使FEP描述的数学机制在生物体中实现,它们也不构成模型。它们是协变的,本质上不是代表性的,并且先于塑造我们科学建模实践的社会实践。最后,我认为上述论点并不影响工具主义的立场。工具主义的方法可以进一步增加FEP文献中概念的清晰度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Living models or life modelled? On the use of models in the free energy principle
The free energy principle (FEP) is an information-theoretic approach to living systems. FEP characterizes life by living systems’ resistance to the second law of thermodynamics: living systems do not randomly visit the possible states, but actively work to remain within a set of viable states. In FEP, this is modelled mathematically. Yet, the status of these models is typically unclear: are these models employed by organisms or strictly scientific tools of understanding? In this article, I argue for an instrumentalist take on models in FEP. I shall argue that models used as instruments for knowledge by scientists and models as implemented by organisms to navigate the world are being conflated, which leads to erroneous conclusions. I further argue that a realist position is unwarranted. First, it overgenerates models and thus trivializes the notion of modelling. Second, even when the mathematical mechanisms described by FEP are implemented in an organism, they do not constitute a model. They are covariational, not representational in nature, and precede the social practices that have shaped our scientific modelling practice. I finally argue that the above arguments do not affect the instrumentalist position. An instrumentalist approach can further add to conceptual clarity in the FEP literature.
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来源期刊
Adaptive Behavior
Adaptive Behavior 工程技术-计算机:人工智能
CiteScore
4.30
自引率
18.80%
发文量
34
审稿时长
>12 weeks
期刊介绍: _Adaptive Behavior_ publishes articles on adaptive behaviour in living organisms and autonomous artificial systems. The official journal of the _International Society of Adaptive Behavior_, _Adaptive Behavior_, addresses topics such as perception and motor control, embodied cognition, learning and evolution, neural mechanisms, artificial intelligence, behavioral sequences, motivation and emotion, characterization of environments, decision making, collective and social behavior, navigation, foraging, communication and signalling. Print ISSN: 1059-7123
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