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Designing Ecosystems of Intelligence from First Principles

Designing Ecosystems of Intelligence from First Principles

2 December 2022
Karl J. Friston
M. Ramstead
Alex B. Kiefer
Alexander Tschantz
Christopher L. Buckley
Mahault Albarracin
R. J. Pitliya
Conor Heins
Brennan Klein
Beren Millidge
D. A. R. Sakthivadivel
T. S. C. Smithe
Magnus T. Koudahl
Safae Essafi Tremblay
C.G. Petersen
K. Fung
Jason G. Fox
Steven Swanson
D. Mapes
Gabriel René
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Papers citing "Designing Ecosystems of Intelligence from First Principles"

8 / 8 papers shown
Title
Rethinking the Evaluating Framework for Natural Language Understanding
  in AI Systems: Language Acquisition as a Core for Future Metrics
Rethinking the Evaluating Framework for Natural Language Understanding in AI Systems: Language Acquisition as a Core for Future Metrics
Patricio Vera
Pedro Moya
Lisa Barraza
ELM
16
1
0
21 Sep 2023
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Toward Design of Synthetic Active Inference Agents by Mere Mortals
Bert De Vries
24
3
0
26 Jul 2023
If consciousness is dynamically relevant, artificial intelligence isn't
  conscious
If consciousness is dynamically relevant, artificial intelligence isn't conscious
Johannes Kleiner
Tim Ludwig
27
4
0
11 Apr 2023
Sources of Richness and Ineffability for Phenomenally Conscious States
Sources of Richness and Ineffability for Phenomenally Conscious States
Xu Ji
Eric Elmoznino
George Deane
Axel Constant
G. Dumas
Guillaume Lajoie
Jonathan Simon
Yoshua Bengio
18
11
0
13 Feb 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive
  Coding Networks
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori
Yuhang Song
Yordan Yordanov
Beren Millidge
Zheng R. Xu
Lei Sha
Cornelius Emde
Rafal Bogacz
Thomas Lukasiewicz
24
10
0
16 Nov 2022
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,216
0
16 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,262
0
09 Jun 2012
1