Results 131 to 140 of about 108,415 (292)

Evolutionary dynamics in stochastic nonlinear public goods games

open access: yesCommunications Physics
Understanding the evolution of cooperation in multi-player games is of vital significance for natural and social systems. An important challenge is that group interactions often lead to nonlinear synergistic effects. However, previous models mainly focus
Wenqiang Zhu   +8 more
doaj   +1 more source

Submodularity and the Evolution of Walrasian Behavior [PDF]

open access: yes
Vega-Redondo (1997) showed that imitation leads to the Walrasian outcome in Cournot Oligopoly. We generalize his result to aggregative quasi-submodular games.
Burkhard Schipper
core  

A perspective review of applications of the computed tomography (CT) scan imaging technique for microscopic reservoir rock characterization

open access: yesDeep Underground Science and Engineering, EarlyView.
In this review, the application of micro‐CT and medical‐CT scanning in the oil and gas industry has been thoroughly discussed. Recent improvements in DRP and modern imaging techniques in the oil and gas industry have been modeled using both experimental and simulation work.
Achinta Bera   +2 more
wiley   +1 more source

Detection and mitigation of false data injection attack in DC–DC synchronous boost converter: A real‐time implementation using shallow neural network model

open access: yesIET Power Electronics, EarlyView., 2023
This article proposes a neural network‐based cyber attack detection and mitigation scheme to detect and mitigate false data injection attacks on the sensors. Neural networks are used for the prediction of duty; a combination of a data sampler and a binary attack detector detects the presence of an attack.
Venkata Siva Prasad Machina   +4 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Stochastic Games : recent results [PDF]

open access: yes
Nous présentons des résultats récents sur les jeux stochastiques finis. Ce texte est à paraître dans le Handbook of Game Theory, vol 3., eds. R.J. Aumann et S.
Nicolas Vieille
core  

Stochastic Switching Games

open access: yes, 2018
We study nonzero-sum stochastic switching games. Two players compete for market dominance through controlling (via timing options) the discrete-state market regime $M$. Switching decisions are driven by a continuous stochastic factor $X$ that modulates instantaneous revenue rates and switching costs.
Li, Liangchen, Ludkovski, Michael
openaire   +2 more sources

Bottlenecks‐Breaking in Zinc‐Iodine Batteries Toward Practical Implementation: A Review and Perspective

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Aqueous zinc–iodine batteries (Zn–I2Bs) offer promise for grid storage due to safety and cost advantages yet face critical bottlenecks: severe self‐discharge (polyiodide shuttling and HER), limited energy density, sluggish kinetics, and zinc anode instability.
Jia‐Lin Yang   +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

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