Results 141 to 150 of about 11,728 (310)

The international stock pollutant control: a stochastic formulation with transfers [PDF]

open access: yes
This paper provides a formulation of a stochastic dynamic game that arise in the real scenario of international environmental agreements on the transnational pollution control.
Omar J. Casas, Rosario Romera
core  

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari   +2 more
wiley   +1 more source

Differential games through viability theory : old and recent results. [PDF]

open access: yes
This article is devoted to a survey of results for differential games obtained through Viability Theory. We recall the basic theory for differential games (obtained in the 1990s), but we also give an overview of recent advances in the following areas ...
Saint-Pierre, Patrick   +2 more
core  

Cost-Sensitive Precomputation of Real-Time-Aware Reconfiguration Strategies based on Stochastic Priced Timed Games

open access: yes
We summarize our paper Cost-Sensitive Precomputation of Real-Time-Aware Reconfiguration Strategies based on Stochastic Priced Timed Games which has been published in the Journal on Software and Systems ...
Beers, Lasse   +5 more
core   +1 more source

Government Subsidies for Industrial Symbiosis: Is It Always Worth It? Assessing Effectiveness and Efficiency Through Agent‐Based Modeling

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Policy intervention can be a driver for industrial symbiosis (IS). However, given the wide variety of policy instruments available, policymakers should be guided in the policy design process to ensure that their intervention is effective and efficient. In this paper, we propose an agent‐based (AB) model intended to assess the effectiveness and
Melissa Mollica   +2 more
wiley   +1 more source

Completely Mixed Stochastic Games with Small Unfixed Discount Factor [PDF]

open access: yes, 2015
International audienceMotivated by uncertainty in the value of the interest rate, we study discounted zero-sum stochastic games with unfixed discount factor.
Varava, Anastasiia   +1 more
core  

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe 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

Solving Decision-Dependent Games by Learning From Feedback

open access: yesIEEE Open Journal of Control Systems
This paper tackles the problem of solving stochastic optimization problems with a decision-dependent distribution in the setting of stochastic strongly-monotone games and when the distributional dependence is unknown.
Killian Wood   +2 more
doaj   +1 more source

A Nucleolus for Stochastic Cooperative Games

open access: yes
This paper extends the definition of the nucleolus to stochastic cooperative games, that is, to cooperative games with random payoffs to the coalitions.
Suijs, J.P.M.
core  

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

open access: yesThe 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

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