Results 91 to 100 of about 11,728 (310)
Discounted Stochastic Games with Voluntary Transfers [PDF]
This paper studies discounted stochastic games perfect or imperfect public monitoring and the opportunity to conduct voluntary monetary transfers. We show that for all discount factors every public perfect equilibrium payoff can be implemented with a ...
Sebastian Kranz
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Stationary Markov Equilibrium Strategies in Asynchronous Stochastic Games: Existence and Computation
We study Asynchronous Dynamic games and show that in games with a finite state space and finite action sets, one can obtain the pure strategy Markov perfect equilibrium by using a simple backward induction method when the time period for the game is ...
Subir. K. Chakrabarti +2 more
doaj +1 more source
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas +4 more
wiley +1 more source
On the existence of certainty equivalents of various relevant types
We tackle the problem of associating certainty equivalents with preferences over stochastic situations, which arises in a number of different fields (e.g., the theory of risk attitudes or the analysis of stochastic cooperative games).
J. C. R. Alcantud, G. Bosi
doaj +1 more source
Corrigendum to On the complexity of computing Markov perfect equilibrium in general-sum stochastic games. [PDF]
Deng X, Li N, Mguni D, Wang J, Yang Y.
europepmc +1 more source
Markov Perfect Nash Equilibrium in stochastic differential games as solution of a generalized Euler Equations System [PDF]
This paper gives a new method to characterize Markov Perfect Nash Equilibrium in stochastic differential games by means of a set of Generalized Euler Equations.
Ricardo Josa-Fombellida +1 more
core
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
On the complexity of computing Markov perfect equilibrium in general-sum stochastic games. [PDF]
Deng X, Li N, Mguni D, Wang J, Yang Y.
europepmc +1 more source
A stochastic interpretation of game logic
Game logic is a dynamic modal logic which models strategic two person games; it contains propositional dynamic logic (PDL) as a fragment. We propose an interpretation of game logic based on stochastic effectivity functions. A definition of these functions is proposed, and some algebraic properties of effectivity functions such as congruences are ...
openaire +2 more sources

