231 citations · 828 across the 31 of their papers we have counts for
8 papers · 1 filter
Active inference and artificial reasoning
Karl Friston, Lancelot Da Costa, Alexander Tschantz +4
This technical note considers the sampling of outcomes that provide the greatest amount of information about the structure of underlying world models. This generalisation furnishes…
A Rosetta Stone Hypothesis for Neurophenomenology: Mathematical Predictions from Predictive Processing
Lancelot Da Costa, Anil K. Seth, Karl Friston +2
Consciousness science faces the challenge of bridging first-person experience with third-person empirical measurements. Neurophenomenology aims to build such `generative passages'…
Metacognitive particles, mental action and the sense of agency
Lars Sandved-Smith, Lancelot Da Costa
This paper articulates metacognition using the language of statistical physics and Bayesian mechanics. Metacognitive beliefs, defined as beliefs about beliefs, find a natural descr…
Bayesian brains and the Rényi divergence
Noor Sajid, Francesco Faccio, Lancelot Da Costa +3
Under the Bayesian brain hypothesis, behavioural variations can be attributed to different priors over generative model parameters. This provides a formal explanation for why indiv…
Sophisticated Inference
Karl Friston, Lancelot Da Costa, Danijar Hafner +2
Active inference offers a first principle account of sentient behaviour, from which special and important cases can be derived, e.g., reinforcement learning, active learning, Bayes…
Some interesting observations on the free energy principle
Karl Friston, Lancelot Da Costa, Thomas Parr
Biehl et al (2020) present some interesting observations on an early formulation of the free energy principle in (Friston, 2013). We use these observations to scaffold a discussion…
Neural dynamics under active inference: plausibility and efficiency of information processing
Lancelot Da Costa, Thomas Parr, Biswa Sengupta +1
Active inference is a normative framework for explaining behaviour under the free energy principle -- a theory of self-organisation originating in neuroscience. It specifies neuron…
Active inference on discrete state-spaces: a synthesis
Lancelot Da Costa, Thomas Parr, Noor Sajid +3
Active inference is a normative principle underwriting perception, action, planning, decision-making and learning in biological or artificial agents. From its inception, its associ…