Results 131 to 140 of about 108,415 (292)
Evolutionary dynamics in stochastic nonlinear public goods games
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
Learning enables adaptation in cooperation for multi-player stochastic games. [PDF]
Huang F, Cao M, Wang L.
europepmc +1 more source
Submodularity and the Evolution of Walrasian Behavior [PDF]
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
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
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
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]
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
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
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
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

