On Epistemics in Expected Free Energy for Linear Gaussian State Space Models
Active Inference (AIF) is a framework that can be used both to describe information processing in naturally intelligent systems, such as the human brain, and to design synthetic intelligent systems (agents). In this paper we show that Expected Free Energy (EFE) minimisation, a core feature of the fr...
Main Authors: | Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-11-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/12/1565 |
Similar Items
-
Free Will as An Epistemically Innocent False Belief
by: Fabio Tollon
Published: (2023-01-01) -
Message Passing-Based Inference for Time-Varying Autoregressive Models
by: Albert Podusenko, et al.
Published: (2021-05-01) -
Linear free energy relationships /
by: 273545 Wells, Peter R.
Published: (1968) -
Epistemic mustn’t in English
by: Juan Rafael Zamorano-Mansilla
Published: (2023-04-01) -
Multiscale Free Energy Analysis of Human Ecosystem Engineering
by: Stephen Fox
Published: (2021-03-01)