Results 171 to 180 of about 24,451 (299)

Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence. [PDF]

Clim Change, 2018
Cooke RM, Wielicki B.
europepmc   +1 more source

A Proof‐of‐Concept Assessment of a Novel Wearable Eyelid Muscle Device: A Pre‐Clinical Animal Cadaver Study for Eyelid Closure Restoration

Advanced Robotics Research, EarlyView.
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino, Phuoc Thien Phan, James Davies, Bibhu Sharma, Tianruo Guo, Chi Cong Nguyen, Nigel H. Lovell, Thanh Nho Do   +7 more
wiley   +1 more source

Load-Frequency Control: a GA based Bayesian Networks Multi-agent System

Iranian Journal of Electrical and Electronic Engineering, 2011
Bayesian Networks (BN) provides a robust probabilistic method of reasoning under uncertainty. They have been successfully applied in a variety of real-world tasks but they have received little attention in the area of load-frequency control (LFC).
F. Daneshfar, H. Bevrani, F. Mansoori
doaj  

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Divergent patterns of probabilistic reasoning in humans and GPT-5. [PDF]

Front Psychol
Imannezhad P, Pothos EM, Wills AJ.
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Modeling information demand in the framework of probabilistic reasoning. [PDF]

Commun Psychol
Jiwa MW, Gottlieb J.
europepmc   +1 more source

A Probabilistic Theory of Abductive Reasoning

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Nicolas A. Espinosa Dice, Megan L. Kaye, Hana Ahmed, George D. Montañez   +3 more
openaire   +1 more source

Bayesian Inferential Reasoning Model for Crime Investigation

Forensic inferential reasoning is a “fact-finding” journey for crime investigation and evidence presentation. In complex legal practices involving various forms of evidence, conventional decision making processes based on human intuition and piece-to ...
Xu, Zhijie, Wang, Jing
core  

Decision Making by Hybrid Probabilistic - Possibilistic Utility Theory [PDF]

It is presented an approach to decision theory based upon nonprobabilistic uncertainty. There is an axiomatization of the hybrid probabilisticpossibilistic mixtures based on a pair of triangular conorm and triangular norm satisfying restricted ...
Endre Pap
core