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20182025
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations

Showing 2022Show all

8 papers · 1 filter

cs.AI2022★ 42 cited

Designing Ecosystems of Intelligence from First Principles

Karl J Friston, Maxwell J D Ramstead, Alex B Kiefer +17

This white paper lays out a vision of research and development in the field of artificial intelligence for the next decade (and beyond). Its denouement is a cyber-physical ecosyste…

nlin.AO2022★ 115 cited

Path integrals, particular kinds, and strange things

Karl Friston, Lancelot Da Costa, Dalton A. R. Sakthivadivel +4

This paper describes a path integral formulation of the free energy principle. The ensuing account expresses the paths or trajectories that a particle takes as it evolves over time…

cs.SD2022★ 5 cited

Few-shot bioacoustic event detection at the DCASE 2022 challenge

I. Nolasco, S. Singh, E. Vidana-Villa +12

Few-shot sound event detection is the task of detecting sound events, despite having only a few labelled examples of the class of interest. This framework is particularly useful in…

cond-mat.stat-mech2022★ 5 cited

Sparse coupling and Markov blankets: A comment on "How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley

Conor Heins, Lancelot Da Costa

In this commentary, we respond to a technical analysis of the Free Energy Principle (hereafter: FEP) presented in "How particular is the physics of the Free Energy Principle" by Ag…

q-bio.NC2022★ 1 cited

Particular flows and attracting sets: A comment on "How particular is the physics of the Free Energy Principle?" by Aguilera, Millidge, Tschantz and Buckley

Conor Heins

In this commentary, I expand on the analysis of the recent article "How particular is the physics of the Free Energy Principle?" by Aguilera et al. by studying the flow fields of l…

cond-mat.stat-mech2022★ 119 cited

On Bayesian Mechanics: A Physics of and by Beliefs

Maxwell J. D. Ramstead, Dalton A. R. Sakthivadivel, Conor Heins +5

The aim of this paper is to introduce a field of study that has emerged over the last decade called Bayesian mechanics. Bayesian mechanics is a probabilistic mechanics, comprising…

physics.soc-ph2022★ 6 cited

Local majority-with-inertia rule can explain global consensus dynamics in a network coordination game

Felix Gaisbauer, Ariana Strandburg-Peshkin, Helge Giese

We study how groups reach consensus by varying communication network structure and individual incentives. In 342 networks of seven individuals, single opinionated "leaders" can dri…

cond-mat.stat-mech2022★ 161 cited

The free energy principle made simpler but not too simple

Karl Friston, Lancelot Da Costa, Noor Sajid +4

This paper provides a concise description of the free energy principle, starting from a formulation of random dynamical systems in terms of a Langevin equation and ending with a Ba…