#FreeEnergyPrinciple

skuaskua
2024-11-26

Anyone here got the knowledge, time and energy to compare and contrast and 's ?

Victoria Stuart 🇨🇦 🏳️‍⚧️persagen
2024-03-10
teledyn 𓂀teledyn@mstdn.ca
2023-08-09

Self-organization of neurons explained using a mathematical theory

news-medical.net/news/20230808

> An international collaboration between researchers at the RIKEN Center for Brain Science (CBS) in Japan, the University of Tokyo, and University College London has demonstrated that self-organization of neurons as they "learn" follows a mathematical theory called the free energy principle.

#mathwinsagain #freeenergyprinciple #neuroscience #learning #whatwecalllearning

Matt WillemsenNonog@fedibird.com
2023-08-07

Free Energy Principle Predicts Self-Organized Learning in Real Neurons
An international team of researchers has discovered that the self-organization of neurons during learning aligns with the mathematical theory known as the free energy principle.
scitechdaily.com/free-energy-p #neurons #SelfOrganized #FreeEnergyPrinciple #learning #mice

Victoria Stuart 🇨🇦 🏳️‍⚧️persagen
2023-07-12

Testing Predictions of Surprisal Theory in 11 Languages
arxiv.org/abs/2307.03667

A fundamental result in psycholinguistics: Less predictable words take longer to process
Theoretical explanation for this finding is Surprisal Theory
en.wikipedia.org/wiki/Predicti

Aside: surprisal (surprise) is a tenet of Friston's Free Energy Principle
mastodon.social/@persagen/1105

link.springer.com/content/pdf/
Surprisal of x = log(1/p(x))
...

2023-02-23

Preprint: “Could large language models be conscious? A perspective from the free energy principle” philarchive.org/rec/WIECLL

This preprint has been submitted to an anthology on the free energy principle, edited by Inês Hipólito, Casper Hesp, and Karl Friston.

#Philosophy #Consciousness #ArtificialConsciousness #FreeEnergyPrinciple @philosophyofmind

Abstract: Some believe that large language models and other AI systems will at best be able to simulate phenomenal consciousness. Such simulations are sometimes called “weak artificial consciousness”—in contrast to “strong artificial consciousness”, which refers to artificial systems that are actually conscious. What is the difference? I propose that strong artificial consciousness requires implementing computational correlates of consciousness in a particular way: performing these computations must have a function for the system itself, by making a contribution to its goals, such as sustaining its existence. Only such computational systems ‘give a damn’. Since the free energy principle (FEP) provides an analysis of the concept of the existence of particular self-organising systems, it can be used to specify what it means to contribute to the goals (such as sustaining one’s existence) of particular self-organising systems. Based on the FEP, the paper develops an account of the difference between weak and strong artificial consciousness.
2022-12-17

#KarlFriston and gang are at it again. They are formalising the notion of intelligence as "as the capacity to accumulate evidence for a generative model of one’s sensed world". In a #reinforcementlearning postulation the reward function is formulated as the need to maximize the evidence for
the agent's own generative model aka it's continued existence

arxiv.org/abs/2212.01354

#freeenergyprinciple #artificialintelligence

2022-12-05

I wonder what people here on @sigmoid.social think about this?

arxiv.org/abs/2212.01354

"... a milestone paper outlining a vision for the future of #AI."

🤔

Source of quote: twitter.com/neojipc/status/159
#FutureOfAI #scalinghypothesis
#freeenergy #freeenergyprinciple

2022-12-02

Theories of systems and agents focus on mathematical frameworks providing formal #definitions of #systems and #agents that can take into account different features of #biological, #cognitive and #artificial systems, Some examples include: #freeenergyprinciple, #IIT and recent ideas formalised using #categorytheory.

2/

2022-11-06

#Introduction time.

TL;dr: maths to formally study #agents, #worldmodels and #representations

I'm currently a Chief Researcher at Araya, a Tokyo based startup with the goal to understand (artificial) #consciousness.

My work focuses on general principles for the #origins of #agency, #life and #cognition. I previously used the #freeenergyprinciple (+ #activeinference) as my main framework, but I'm now looking into other directions, mostly using #categorytheory applied to #systemstheory.

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst