Neural and phenotypic representation under the free-energy principle. [PDF]
The aim of this paper is to leverage the free-energy principle and its corollary process theory, active inference, to develop a generic, generalizable model of the representational capacities of living creatures; that is, a theory of phenotypic representation.
Ramstead MJD +5 more
europepmc +8 more sources
Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations [PDF]
The aim of this paper is twofold: (1) to assess whether the construct of neural representations plays an explanatory role under the variational free-energy principle and its corollary process theory, active inference; and (2) if so, to assess which ...
Maxwell J. D. Ramstead +2 more
doaj +4 more sources
Natural language syntax complies with the free-energy principle. [PDF]
Natural language syntax yields an unbounded array of hierarchically structured expressions. We claim that these are used in the service of active inference in accord with the free-energy principle (FEP). While conceptual advances alongside modelling and simulation work have attempted to connect speech segmentation and linguistic communication with the ...
Murphy E, Holmes E, Friston K.
europepmc +6 more sources
The Problem of Meaning: The Free Energy Principle and Artificial Agency [PDF]
Biological agents can act in ways that express a sensitivity to context-dependent relevance. So far it has proven difficult to engineer this capacity for context-dependent sensitivity to relevance in artificial agents. We give this problem the label the “
Julian Kiverstein +3 more
doaj +2 more sources
Distributionally robust free energy principle for decision-making [PDF]
Despite their groundbreaking performance, autonomous agents can misbehave when training and environmental conditions become inconsistent, with minor mismatches leading to undesirable behaviors or even catastrophic failures.
Allahkaram Shafiei +3 more
doaj +2 more sources
Experimental validation of the free-energy principle with in vitro neural networks [PDF]
Empirical applications of the free-energy principle are not straightforward because they entail a commitment to a particular process theory, especially at the cellular and synaptic levels.
Takuya Isomura +3 more
doaj +2 more sources
Formalizing Lacanian psychoanalysis through the free energy principle [PDF]
This study presents a computational formalization of Lacanian psychoanalysis using the framework of the free energy principle (FEP)—a theoretical framework for modeling self-organizing systems across multiple scales.
Lingyu Li +3 more
doaj +2 more sources
Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle [PDF]
Friston proposed the Minimum Free Energy Principle (FEP) based on the Variational Bayesian (VB) method. This principle emphasizes that the brain and behavior coordinate with the environment, promoting self-organization. However, it has a theoretical flaw,
Chenguang Lu
doaj +2 more sources
Active Vision for Robot Manipulators Using the Free Energy Principle [PDF]
Occlusions, restricted field of view and limited resolution all constrain a robot's ability to sense its environment from a single observation. In these cases, the robot first needs to actively query multiple observations and accumulate information ...
Toon Van de Maele +4 more
doaj +2 more sources
Brain Entropy During Aging Through a Free Energy Principle Approach [PDF]
Neural complexity and brain entropy (BEN) have gained greater interest in recent years. The dynamics of neural signals and their relations with information processing continue to be investigated through different measures in a variety of noteworthy ...
Filippo Cieri +3 more
doaj +2 more sources

