Results 111 to 120 of about 3,696,970 (268)
Simulating Active Inference Processes by Message Passing
Frontiers in Robotics and AI, 2019 The free energy principle (FEP) offers a variational calculus-based description for how biological agents persevere through interactions with their environment.
Thijs W. van de Laar +2 more
doaj +1 more source
Active inference for fault tolerant control of robot manipulators with sensory faults
, 2020 We present a fault tolerant control scheme for robot manipulators based on active inference. The proposed solution makes use of the sensory prediction errors in the free-energy to simplify the residuals and thresholds generation for fault detection and ...
Hernández, Carlos (author) +5 more
core +1 more source
, 2023 The ubiquity and importance of narratives in human adaptation has been recognized by many scholars. Research has identified several functions of narratives that are conducive to individuals’ well-being and adaptation as well as to coordinated social ...
maxwell ramstead +4 more
core +1 more source
Molecular Oncology, EarlyView.Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Molecular Oncology, EarlyView.Breast cancer remains a major cause of cancer death in women, frequently developing endocrine therapy resistance. This study demonstrates that upregulated p21‐activated kinase 1 (PAK1) activity drives resistance to tamoxifen and long‐term estrogen deprivation in ER+ breast cancer models.
Luisa Schwarzmüller +10 more
wiley +1 more source
The Active Inference Institute & Active Inference Ecosystem
This document surveys the current state of The Active Inference Institute and The Active Inference Ecosystem, in the context of our current and future directions. As embodied agents, we aim to update our decisions, goals and predictions as an institute by actively gathering (sampling) insights (observations) from our members.
Active Inference Institute +30 more
openaire +2 more sources
From Active Inference to Causal Inference?
In this talk, I will first review core tenets of active inference, a modelling approach developed by theoretical neuroscientist Karl Friston and colleagues.
Friedrich-Schiller-Universität Jena. Multimediazentrum +1 more
core +1 more source
BATMAN: BAyesian Target Modelling for Active iNference
, 2020 Active Inference is an emerging framework for designing intelligent agents. In an Active Inference setting, any task is formulated as a variational free energy minimisation problem on a generative probabilistic model.
Koudahl, Magnus, de Vries, A. (Bert)
core +1 more source
Molecular Oncology, EarlyView.Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur +11 more
wiley +1 more source
Active Inference, Novelty and Neglect [PDF]
, 2018 In this chapter, we provide an overview of the principles of active inference. We illustrate how different forms of short-term memory are expressed formally (mathematically) through appealing to beliefs about the causes of our sensations and about the actions we pursue.
Parr, T, Friston, KJ
openaire +3 more sources