Results 151 to 160 of about 11,728 (310)
The Canadian Journal of Chemical Engineering, EarlyView.This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin +2 more
wiley +1 more source
Enabling Stochastic Dynamic Games for Robotic Swarms
Advanced Intelligent SystemsThis article scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games as a continuous partially observable Markov decision process (POMDP) to find a ...
Kamran Vakil, Alyssa Pierson
doaj +1 more source
Stochastic Approximation, Momentum, and Nash Play [PDF]
Main objects here are normal-form games, featuring uncertainty and noncooperative players who entertain local visions, form local approximations, and hesitate in making large, swift adjustments.
Flåm, Sjur Didrik, Berglann, Helge
core
EcoEnergy, EarlyView.As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
This paper studies generic properties of Markov perfect equilibria in dynamic stochastic games. We show that almost all dynamic stochastic games have a finite number of locally isolated Markov perfect equilibria.
Doraszelski, Ulrich, Escobar, Juan
core
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.This article explores high‐entropy‐stabilized oxides (HEOs) as novel functional materials for addressing critical issues in lithium–sulfur (Li–S) batteries, including lithium polysulfide (LPS) shuttling, inadequate conductivity, and slow redox kinetics.
Hassan Raza +10 more
wiley +1 more source
Stochastic Game Theory: Adjustment to Equilibrium Under Noisy Directional Learning [PDF]
This paper presents a dynamic model in which agents adjust their decisions in the direction of higher payoffs, subject to random error. This process produces a probability distribution of players' decisions whose evolution over time is determined by the ...
Jacob K. Goeree +2 more
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AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Stochastically Stable Equilibria in Coordination Games with Multiple Populations [PDF]
We investigate the equilibrium selection problem in n-person binary coordination games by means of adaptive play with mistakes (Young 1993). The size and the depth of a particular type of basins of attraction are found to be the main factors in ...
Maruta, Toshimasa, Okada, Akira
core
Earthquake Engineering &Structural Dynamics, EarlyView.ABSTRACT Estimation of the time required for damaged building components to return to their pre‐earthquake conditions through repair is a critical element in assessing the seismic resilience of buildings, and it requires consideration of uncertainty.
Tomoaki Nishino +5 more
wiley +1 more source