ArticleEntropy (Basel, Switzerland)2022
How Active Inference Could Help Revolutionise Robotics.
Article in Entropy (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Predictive processing as a scalable computational principle for embodied multitask intelligence.Science advances · 2026Article
- pyhgf: A neural network library for predictive coding.PLoS computational biology · 2026Article
- A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit.Nature communications · 2024Article
- Active Inference for Learning and Development in Embodied Neuromorphic Agents.Entropy (Basel, Switzerland) · 2024Article
- Review
- On Predictive Planning and Counterfactual Learning in Active Inference.Entropy (Basel, Switzerland) · 2024Article
- Free energy and inference in living systems.Interface focus · 2023Article
- Reward Maximization Through Discrete Active Inference.Neural computation · 2023Article
- Interpersonal attunement in social interactions: fromPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- Applying the Free Energy Principle to Complex Adaptive Systems.Entropy (Basel, Switzerland) · 2022Article
- The Problem of Meaning: The Free Energy Principle and Artificial Agency.Frontiers in neurorobotics · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Recent advances in neuroscience have characterised brain function using mathematical formalisms and first principles that may be usefully applied elsewhere. In this paper, we explain how active inference-a well-known description of sentient behaviour from neuroscience-can be exploited in robotics. In short, active inference leverages the processes thought to underwrite human behaviour to build effective autonomous systems. These systems show state-of-the-art performance in several robotics settings; we highlight these and explain how this framework may be used to advance robotics.
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Registered trials
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