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Free energy principle
Known as:
Active inference
, Free energy
, The free energy principle
The free energy principle tries to explain how (biological) systems maintain their order (non-equilibrium steady-state) by restricting themselves to…
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Related topics
Related topics
27 relations
Action-specific perception
Autopoiesis
Bayesian approaches to brain function
Bellman equation
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Broader (1)
Systems theory
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
The Noisy Jackal: Measurement and analysis of the coloured noise on the longitudinal, lateral and rotational velocities and identifcation of its characteristics due to the unmodeled dynamics of a…
A. V. Doeveren
2019
Corpus ID: 209103889
This research focuses on proving the presence of coloured noise on the longitudinal, lateral and rotational velocity in steady…
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2018
2018
Inferring FSM Models of Systems Without Reset
Roland Groz
,
A. Simão
,
A. Petrenko
,
Catherine Oriat
Machine Learning for Dynamic Software Analysis
2018
Corpus ID: 51869367
Active inference algorithms that are used to extract behavioural models of software systems usually assume that the System Under…
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2018
2018
Hierarchical Heavy Hitter Detection Under Unknown Models
Sattar Vakili
,
Qing Zhao
,
Chang Liu
,
Chen-Nee Chuah
IEEE International Conference on Acoustics…
2018
Corpus ID: 52284047
We consider the problem of detecting heavy hitters and hierarchical heavy hitters among a large number of traffic flows modeled…
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2018
2018
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms
S. Otte
,
Lea Hofmaier
,
Martin Volker Butz
International Conference on Artificial Neural…
2018
Corpus ID: 52911329
Robot arm control and motion planning in dynamically changing environments is a challenging task. It requires an adaptive…
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2017
2017
Active inference for dynamic Bayesian networks with an application to tissue engineering
C. Komurlu
,
Jinjian Shao
,
+4 authors
M. Bilgic
Knowledge and Information Systems
2017
Corpus ID: 29182113
In temporal domains, agents need to actively gather information to make more informed decisions about both the present and the…
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2014
2014
Minimizing Relative Entropy in Hierarchical Predictive Coding
Johan Kwisthout
European Workshop on Probabilistic Graphical…
2014
Corpus ID: 15460806
The recent Hierarchical Predictive Coding theory is a very influential theory in neuroscience that postulates that the brain…
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2012
2012
Active inference and spatial cognition
Karl J. Friston
2012
Corpus ID: 60205873
2011
2011
Accurate and Efficient Network Tomography Through Network Coding
Jiaqi Gui
,
V. Shah-Mansouri
,
V. Wong
IEEE Transactions on Vehicular Technology
2011
Corpus ID: 16692153
Accurate and efficient measurement of network-internal characteristics is critical for the management and maintenance of large…
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Review
2011
Review
2011
Semantic Web Technologies for Business Intelligence
R. Berlanga
,
Oscar Romero
,
+4 authors
M. J. Aramburu
2011
Corpus ID: 14450020
This chapter describes the convergence of two of the most influential technologies in the last decade, namely business…
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1989
1989
The free energy principle, negative energy modes, and stability
P. Morrison
,
M. Kotschenreuther
1989
Corpus ID: 117816328
This paper is concerned with instability of equilibria of Hamiltonian, fluid and plasma dynamical systems. Usually the dynamical…
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