12 citations · 30 across the 6 of their papers we have counts for
6 papers
A memory-based active inference model of DishBrain-like adaptive behaviour
Aswin Paul, Moein Khajehnejad, Forough Habibollahi +2
Recent and rapid advances in artificial intelligence (AI) make it increasingly important to understand the foundations of adaptive behaviour in autonomous agents, especially for bu…
Biological Neurons Compete with Deep Reinforcement Learning in Sample Efficiency in a Simulated Gameworld
Moein Khajehnejad, Forough Habibollahi, Aswin Paul +2
How do biological systems and machine learning algorithms compare in the number of samples required to show significant improvements in completing a task? We compared the learning…
On Predictive planning and counterfactual learning in active inference
Aswin Paul, Takuya Isomura, Adeel Razi
Given the rapid advancement of artificial intelligence, understanding the foundations of intelligent behaviour is increasingly important. Active inference, regarded as a general th…
Active Inference and Intentional Behaviour
Karl J. Friston, Tommaso Salvatori, Takuya Isomura +10
Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuronal networks, respectively. Su…
On efficient computation in active inference
Aswin Paul, Noor Sajid, Lancelot Da Costa +1
Despite being recognized as neurobiologically plausible, active inference faces difficulties when employed to simulate intelligent behaviour in complex environments due to its comp…
Active Inference for Stochastic Control
Aswin Paul, Noor Sajid, Manoj Gopalkrishnan +1
Active inference has emerged as an alternative approach to control problems given its intuitive (probabilistic) formalism. However, despite its theoretical utility, computational i…