Christopher L. Buckley

PLoS Comput. Biol., February, 2023

Hybrid predictive coding: Inferring, fast and slow.

[BibT_eX]

[DOI]

Alexander Tscshantz

PLoS Comput. Biol., 2023

Active Inference and Intentional Behaviour.

[BibT_eX]

[DOI]

Maxwell J. D. Ramstead

CoRR, 2023

Supervised structure learning.

[BibT_eX]

[DOI]

CoRR, 2023

Brain-Inspired Computational Intelligence via Predictive Coding.

[BibT_eX]

[DOI]

Tommaso Salvatori

Ankur Arjun Mali

CoRR, 2023

Understanding Predictive Coding as an Adaptive Trust-Region Method.

[BibT_eX]

[DOI]

Francesco Innocenti

Ryan Singh

CoRR, 2023

Attention: Marginal Probability is All You Need?

[BibT_eX]

[DOI]

Ryan Singh

CoRR, 2023

Attention as Implicit Structural Inference.

[BibT_eX]

[DOI]

Ryan Singh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring Action-Centric Representations Through the Lens of Rate-Distortion Theory.

[BibT_eX]

[DOI]

Miguel De Llanza Varona

Proceedings of the Active Inference - 4th International Workshop, 2023

Relative Representations for Cognitive Graphs.

[BibT_eX]

[DOI]

Alex B. Kiefer

Proceedings of the Active Inference - 4th International Workshop, 2023

Understanding Tool Discovery and Tool Innovation Using Active Inference.

[BibT_eX]

[DOI]

Poppy Collis

Paul F. Kinghorn

Proceedings of the Active Inference - 4th International Workshop, 2023

Pretraining Language Models with Human Preferences.

[BibT_eX]

[DOI]

Tomasz Korbak

Kejian Shi

Angelica Chen

Rasika Vinayak Bhalerao

Jason Phang

Samuel R. Bowman

Ethan Perez

Proceedings of the International Conference on Machine Learning, 2023

2022

Predictive Coding Approximates Backprop Along Arbitrary Computation Graphs.

[BibT_eX]

[DOI]

Neural Comput., 2022

Designing Ecosystems of Intelligence from First Principles.

[BibT_eX]

[DOI]

CoRR, 2022

Successor Representation Active Inference.

[BibT_eX]

[DOI]

CoRR, 2022

Hybrid Predictive Coding: Inferring, Fast and Slow.

[BibT_eX]

[DOI]

CoRR, 2022

Active Inference Successor Representations.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - Third International Workshop, 2022

A Message Passing Perspective on Planning Under Active Inference.

[BibT_eX]

[DOI]

Magnus T. Koudahl

Bert de Vries

Proceedings of the Active Inference - Third International Workshop, 2022

Preventing Deterioration of Classification Accuracy in Predictive Coding Networks.

[BibT_eX]

[DOI]

Paul F. Kinghorn

Proceedings of the Active Inference - Third International Workshop, 2022

Capsule Networks as Generative Models.

[BibT_eX]

[DOI]

Alex B. Kiefer

Proceedings of the Active Inference - Third International Workshop, 2022

Spin Glass Systems as Collective Active Inference.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - Third International Workshop, 2022

Knitting a Markov Blanket is Hard When You are Out-of-Equilibrium: Two Examples in Canonical Nonequilibrium Models.

[BibT_eX]

[DOI]

Miguel Aguilera

Ángel Poc-López

Conor Heins

Proceedings of the Active Inference - Third International Workshop, 2022

RL with KL penalties is better viewed as Bayesian inference.

[BibT_eX]

[DOI]

Tomasz Korbak

Ethan Perez

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Whence the Expected Free Energy?

[BibT_eX]

[DOI]

Neural Comput., 2021

Active Inference in Robotics and Artificial Agents: Survey and Challenges.

[BibT_eX]

[DOI]

Jun Tani

CoRR, 2021

A Mathematical Walkthrough and Discussion of the Free Energy Principle.

[BibT_eX]

[DOI]

CoRR, 2021

Predictive Coding: a Theoretical and Experimental Review.

[BibT_eX]

[DOI]

CoRR, 2021

Understanding the origin of information-seeking exploration in probabilistic objectives for control.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Kalman Filtering.

[BibT_eX]

[DOI]

CoRR, 2021

Habitual and Reflective Control in Hierarchical Predictive Coding.

[BibT_eX]

[DOI]

Paul F. Kinghorn

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

Learning action-oriented models through active inference.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2020

Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm.

[BibT_eX]

[DOI]

CoRR, 2020

Relaxing the Constraints on Predictive Coding Models.

[BibT_eX]

[DOI]

CoRR, 2020

Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain.

[BibT_eX]

[DOI]

CoRR, 2020

Control as Hybrid Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning as Iterative and Amortised Inference.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning through Active Inference.

[BibT_eX]

[DOI]

CoRR, 2020

On the Relationship Between Active Inference and Control as Inference.

[BibT_eX]

[DOI]

Proceedings of the Active Inference - First International Workshop, 2020

Predictions in the eye of the beholder: an active inference account of Watt governors.

[BibT_eX]

[DOI]

Jelle P. Bruineberg

Proceedings of the 2020 Conference on Artificial Life, 2020

Scaling Active Inference.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

PID Control as a Process of Active Inference with Linear Generative Models.

[BibT_eX]

[DOI]

Entropy, 2019

Generative models as parsimonious descriptions of sensorimotor loops.

[BibT_eX]

[DOI]

CoRR, 2019

The dark room problem in predictive processing and active inference, a legacy of cognitivism?

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Artificial Life, 2019

Nonmodular Architectures of Cognitive Systems based on Active Inference.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

A theory of how active behavior stabilises neural activity: Neural gain modulation by closed-loop environmental feedback.

[BibT_eX]

[DOI]

Taro Toyoizumi

PLoS Comput. Biol., 2018

A Probabilistic Interpretation of PID Controllers Using Active Inference.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 15, 2018

The modularity of action and perception revisited using control theory and active inference.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Artificial Life, 2018

2017

An active inference implementation of phototaxis.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth European Conference Artificial Life, 2017

2015

A Minimal Active Inference Agent.

[BibT_eX]

[DOI]

Simon McGregor

CoRR, 2015

2011

Optimization in "self-modeling" complex adaptive systems.

[BibT_eX]

[DOI]

Complex., 2011

Global Adaptation in Networks of Selfish Components: Emergent Associative Memory at the System Scale.

[BibT_eX]

[DOI]

Artif. Life, 2011

"If You Can't Be With the One You Love, Love the One You're With": How Individual Habituation of Agent Interactions Improves Global Utility.

[BibT_eX]

[DOI]

Adam P. Davies

Jason Noble

Artif. Life, 2011

Transformations in the scale of behavior and the global optimization of constraints in adaptive networks.

[BibT_eX]

[DOI]

Adapt. Behav., 2011

Transformations and multi-scale optimisation in biological adaptive networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Life: 20th Anniversary Edition, 2011

2010

Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task.

[BibT_eX]

[DOI]

Philip Husbands

Andrew Philippides

Patrícia Amâncio Vargas

Peter Fine

Ezequiel A. Di Paolo

Michael O'Shea

Complex., 2010

Spatially embedded dynamics and complexity.

[BibT_eX]

[DOI]

Lionel C. Barnett

Complex., 2010

Adaptation without Natural Selection.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

Associative Memory in Gene Regulation Networks.

[BibT_eX]

[DOI]

Adam P. Davies

Proceedings of the Twelfth International Conference on the Synthesis and Simulation of Living Systems, 2010

2008

Sensitivity and stability: A signal propagation sweet spot in a sheet of recurrent centre crossing neurons.

[BibT_eX]

[DOI]

Biosyst., 2008

Monostable Controllers for Adaptive Behaviour.

[BibT_eX]

[DOI]

Peter Fine

Ezequiel A. Di Paolo

Proceedings of the From Animals to Animats 10, 2008

Dynamical complexity of spatially embedded networks.

[BibT_eX]

[DOI]

Lionel C. Barnett

Proceedings of the Eleventh International Conference on the Synthesis and Simulation of Living Systems, 2008

2007

Spatial Embedding and Complexity: The Small-World Is Not Enough.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Life, 9th European Conference, 2007

2005

Timescale and Stability in Adaptive Behaviour.

[BibT_eX]

[DOI]