Results 121 to 130 of about 3,304,290 (287)
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
Purpose: The change in recovery rate is dynamic, while the front and back states are related and evolve continuously until reach a steady state. This paper studies the dynamic balancing strategies of members of a closed-loop supply chain system (CLSC ...
Jianying Sun
doaj +1 more source
A stochastic differential game of capitalism
We develop a stochastic differential game of capitalism to analyze the role of uncertainty. In the deterministic game, the firm's rent is completely taxed away and the firm stops investing completely.
Leong, Chee Kian, Huang, Weihong
core
Beyond the Human Negotiator: Generative AI and the Threshold of Autonomous Decision‐Making
ABSTRACT This article provides a comprehensive framework for understanding the role of artificial intelligence (AI) in negotiation, evaluating contemporary systems through the specific case study of Large Language Models (LLMs). To address the lack of established terminology, it first proposes a new typology distinguishing Negotiation Supported by AI ...
Martin Svatos
wiley +1 more source
Approximate solutions of stochastic differential delay equations with Markovian switching [PDF]
Our main aim is to develop the existence theory for the solutions to stochastic differential delay equations with Markovian switching (SDDEwMSs) and to establish the convergence theory for the Euler-Maruyama approximate solutions under the local ...
Li, Xiaoyue, Shen, Yi, Mao, Xuerong
core +1 more source
Motivation to Run in One-Day Cricket
This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method ...
Paramahansa Pramanik, Alan M. Polansky
doaj +1 more source
On the Adjoint Markov Policies in Stochastic Differential Games
We consider time-homogeneous uniformly nondegenerate stochastic differential games in domains and propose constructing $\varepsilon$-optimal strategies and policies by using adjoint Markov strategies and adjoint Markov policies which are actually time-homogeneous Markov, however, relative not to the original process but to a couple of processes ...
openaire +3 more sources
Disentangling the interactive effects of anthropogenic disturbances on biodiversity
Anthropogenic activity threatens biodiversity through climate change, habitat fragmentation, and increasing frequency and scale of disturbance. Various theoretical studies have sought to shed light on how these factors could promote or hinder the coexistence of species. However, our understanding of the relative importance of, and interactions between,
Isaac Planas‐Sitjà +2 more
wiley +1 more source
Two-Player Nonzero-Sum Stochastic Differential Games with Switching Controls
In this paper, a two-player nonzero-sum stochastic differential game problem is studied with both players using switching controls. A verification theorem associated with a set of variational inequalities is established as a sufficient criterion for Nash
Yongxin Liu, Hui Min
doaj +1 more source
Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source

