231 citations · 828 across the 31 of their papers we have counts for
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Reward Maximisation through Discrete Active Inference
Lancelot Da Costa, Noor Sajid, Thomas Parr +2
Active inference is a probabilistic framework for modelling the behaviour of biological and artificial agents, which derives from the principle of minimising free energy. In recent…
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…