ArticleEntropy (Basel, Switzerland)2021
Accessing Active Inference Theory through Its Implicit and Deliberative Practice in Human Organizations.
Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- The Complex Relationship between Sleep and Cognitive Reserve: A Narrative Review Based on Human Studies.Brain sciences · 2024Review
- Organizational Neuroscience of Industrial Adaptive Behavior.Behavioral sciences (Basel, Switzerland) · 2022Article
- Synchronous Generative Development amidst Situated Entropy.Entropy (Basel, Switzerland) · 2022Article
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Authors and funding
1 author.
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Abstract
Active inference theory (AIT) is a corollary of the free-energy principle, which formalizes cognition of living system's autopoietic organization. AIT comprises specialist terminology and mathematics used in theoretical neurobiology. Yet, active inference is common practice in human organizations, such as private companies, public institutions, and not-for-profits. Active inference encompasses three interrelated types of actions, which are carried out to minimize uncertainty about how organizations will survive. The three types of action are updating work beliefs, shifting work attention, and/or changing how work is performed. Accordingly, an alternative starting point for grasping active inference, rather than trying to understand AIT specialist terminology and mathematics, is to reflect upon lived experience. In other words, grasping active inference through autoethnographic research. In this short communication paper, accessing AIT through autoethnography is explained in terms of active inference in existing organizational practice (implicit active inference), new organizational methodologies that are informed by AIT (deliberative active inference), and combining implicit and deliberative active inference. In addition, these autoethnographic options for grasping AIT are related to generative learning.
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