Results 61 to 70 of about 9,643,162 (140)

Recommendations concerning energy information model documentation, public access, and evaluation [PDF]

, 1979
In this study we provide an analysis of the factors underlying Congressional concern regarding model documentation, policies for public access, and evaluation procedures of the Energy Information Administration (EIA) and its predecessor agencies; we also
Wood, D.O., Mason, M.J., Wood, David O., Mason, Martha J.   +3 more
core   +1 more source

Active Inference and Epistemic Value in Graphical Models

Frontiers in Robotics and AI, 2022
The Free Energy Principle (FEP) postulates that biological agents perceive and interact with their environment in order to minimize a Variational Free Energy (VFE) with respect to a generative model of their environment. The inference of a policy (future
Thijs van de Laar, Magnus Koudahl, Magnus Koudahl, Bart van Erp, Bert de Vries, Bert de Vries   +5 more
doaj   +1 more source

On Epistemics in Expected Free Energy for Linear Gaussian State Space Models

Entropy, 2021
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).
Magnus T. Koudahl, Wouter M. Kouw, Bert de Vries   +2 more
doaj   +1 more source

Energy laboratory data and model directory [PDF]

, 1981
Over the past several years M.I.T. faculty, staff, and students have produced a substantial body of research and analysis relating to the production, conversion, and use of energy in domestic and international markets.
Carson, J., Lahiri, S.
core  

Annual Energy Outlook [PDF]

, 2009
The Annual Energy Outlook 2009 (AEO2009), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIA’s National Energy Modeling System (NEMS).
United States. Energy Information Administration.
core   +1 more source

A Factor Graph Description of Deep Temporal Active Inference

Frontiers in Computational Neuroscience, 2017
Active inference is a corollary of the Free Energy Principle that prescribes how self-organizing biological agents interact with their environment. The study of active inference processes relies on the definition of a generative probabilistic model and a
Bert de Vries, Bert de Vries, Karl J. Friston   +2 more
doaj   +1 more source

Kinetic Energy and the Free Energy Principle in the Birth of Human Life

Reproductive Medicine
The retrospective noninterventional study investigated the kinetic energy of video images of 18 fertilized eggs (7 were normal and 11 were abnormal) recorded by a time-lapse device leading up to the beginning of the first cleavage.
Yasunari Miyagi, Yasuyuki Mio, Keitaro Yumoto, Rei Hirata, Toshihiro Habara, Nobuyoshi Hayashi   +5 more
doaj   +1 more source

Clean energy Australia report 2014 [PDF]

, 2015
The review of the Renewable Energy Target (RET), which was announced in February 2014 and continued beyond the end of the year, essentially froze new investment in large-scale renewable energy in Australia last year.
Clean Energy Council
core  

Energy principle for stability of general force-free MHD equilibria

, 1982
An energy principle has been constructed for the determination of stability of general force-free equilibria against ideal- and dissipative-(tearing)-MHD modes. The concept of accessible neighbouring equilibria, with the inclusion of singular currents on
T.H. Jensen, J.K. Lee, M.S. Chu
core   +1 more source

The Universal Optimism of the Self-Evidencing Mind

Entropy
Karl Friston’s free-energy principle casts agents as self-evidencing through active inference. This implies that decision-making, planning and information-seeking are, in a generic sense, ‘wishful’.
Elizabeth L. Fisher, Jakob Hohwy
doaj   +1 more source