paper:doi-10-1016-j-neubiorev-2018-04-004Deep temporal models and active inference
Original abstract (expand)
•Active inference provides a principled account of epistemic behaviour.•Active inference rests upon hierarchical or deep generative models.•Deep generative models of state transitions embody nested temporal structure.•Reading can be simulated via active inference with deep models.•These simulations appear to have a high degree of biological plausibility.
Related work— refs + corpus + external arXiv
Cited / in-corpus / arXiv badges show which signals surfaced each row. Multi-source rows weighted higher.
- Learning Perception and Planning with Deep Active InferenceTim Verbelen, Johannes Nauta, Cedric De Boom and Bart Dhoedt Ozan \c{C}atal2020≈ 78%
- Active Inference and Human--Computer InteractionJohn H. Williamson, Sebastian Stein Roderick Murray-Smith2024≈ 77%
- Active inference and artificial reasoningLancelot Da Costa, Alexander Tschantz, Conor Heins, Christopher Buckley, Tim Verbelen, Thomas Parr Karl Friston2025≈ 77%
- ≈ 76%
- Deep Active Inference for Autonomous Robot NavigationSamuel Wauthier, Tim Verbelen, Cedric De Boom, Bart Dhoedt Ozan \c{C}atal2020≈ 76%
- ≈ 76%
- Deconstructing deep active inferenceTh\'eophile Champion and Marek Grze\'s and Lisa Bonheme and Howard Bowman2023≈ 76%
- ≈ 76%
- ≈ 75%
- Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active InferenceRithvik Prakki2024≈ 75%
- ≈ 75%
- ≈ 75%
- ≈ 75%
- Active inference: demystified and comparedPhilip J. Ball, Thomas Parr, Karl J. Friston Noor Sajid2021≈ 74%
- A Concise Mathematical Description of Active Inference in Discrete TimeCarlotta Langer, Nihat Ay Jesse van Oostrum2025≈ 74%
- Active inference: demystified and comparedin corpus2021≈ 72%
- ≈ 70%
- Active Inference: A Process Theoryin corpus2017≈ 69%
- ≈ 69%
- ≈ 67%
- Active Inference, Curiosity and Insightin corpus2017≈ 67%
- ≈ 66%
- Model Alignment Searchin corpus2025≈ 65%
- Interpreting Language Model Parametersin corpus2026≈ 65%
- A Mathematical Framework for Transformer Circuitsin corpus2021≈ 65%
- ≈ 65%
- The Platonic Representation Hypothesisin corpus2024≈ 64%
- ≈ 64%
- ≈ 64%
Similar preprints — Semantic Scholar
Cited by (3)
- Contemplative Agent
Embedding four Buddhist-derived axiomatic principles—mindfulness, emptiness, non-duality, and boundless care—into AI systems via a framework the paper terms the 'Wise World Model' produces measurable
- Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference
- Active inference on discrete state-spaces: a synthesis
Active inference on discrete state-spaces, formalized as partially observable Markov decision processes (POMDPs) with likelihood matrix A, transition matrix B, and prior D, unifies perception, plannin