Results 121 to 130 of about 16,285 (305)
Bayesian nonparametric models characterize instantaneous strategies in a competitive dynamic game
Nature Communications, 2019 Game theory typically models strategic human behavior using scenarios with decision constraints that poorly represent real-world social interactions. Here, the authors show it is possible to model dynamic, real-world strategic interactions using Bayesian
Kelsey R. McDonald +3 more
doaj +1 more source
The Canadian Journal of Chemical Engineering, EarlyView.Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source
Frontiers in PhysicsReliable forecasting of air cargo demand is crucial for optimizing logistics operations, scheduling air freight capacity, and reducing operational costs in a dynamic global supply chain environment.
Lingfeng Zhang, Liang Jiang
doaj +1 more source
A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control
The Canadian Journal of Chemical Engineering, EarlyView.Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao +2 more
wiley +1 more source
Machine Learning for Adaptive Computer Game Opponents
, 2009 This thesis investigates the use of machine learning techniques in computer games to create a computer player that adapts to its opponent's game-play.
Miles, Jonathan David
core
A Blotto game with incomplete information [PDF]
, 2009 We consider a Blotto game with Incomplete Information.
Adamo, Tim, Matros, Alexander
core
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
Defense policies selection method based on attack-defense signaling game model
Tongxin xuebao, 2016 Currently defense policies selection based on game theory mostly applied either the complete information game model or the static game model.In order to be more in line with the reality of network attack and defense,at-tack-defense behavior was studied ...
Heng-wei ZHANG +4 more
doaj +2 more sources
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT To meet rising sustainability demands, companies increasingly use social media to communicate product‐related CSR initiatives. Consumers' interactions with these messages largely depend on the messages' perceived credibility. However, there remains limited understanding of how firms combine communication characteristics into distinct patterns ...
Judith Derenthal, Waldemar Toporowski
wiley +1 more source
Strategic Knowledge Sharing in Bayesian Games: Applications [PDF]
This paper studies the properties of endogenous information structures in some classes of Bayesian games in which a first stage of strategic information revelation is added.
Frédéric KOESSLER
core