Results 71 to 80 of about 11,565 (207)

Stackelberg Stopping Games

open access: yes
We study a Stackelberg variant of the classical Dynkin game in discrete time, where the two players are no longer on equal footing. Player 1 (the leader) announces her stopping strategy first, and Player 2 (the follower) responds optimally. This Stackelberg stopping game can be viewed as an optimal control problem for the leader.
Zhang, Jingjie, Zhou, Zhou
openaire   +2 more sources

Personalized Model‐Driven Interventions for Decisions From Experience

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Cognitive models that represent individuals provide many benefits for understanding the full range of human behavior. One way in which individual differences emerge is through differences in knowledge. In dynamic situations, where decisions are made from experience, models built upon a theory of experiential choice (instance‐based learning ...
Edward A. Cranford   +6 more
wiley   +1 more source

Pricing and Advertising Decisions in a Three-level Supply Chain with Nash, Stackelberg and Cooperative Games

open access: yesInternational Journal of Industrial Engineering and Production Research, 2016
Pricing and advertising are two important marketing strategies in the supply chain management which lead to customer demand’s increase and therefore higher profit for members of supply chains. This paper considers advertising, and pricing decisions
Parinaz Esmaeili   +2 more
doaj  

Optimal Monetary Policy and the Asset Market: A Non-cooperative Game [PDF]

open access: yes, 2003
In this paper we construct a model of a policy game in order to analyse the optimal reaction function of the Central Bank to a shock in the asset market.
Ioannidis, C, Napolitano, O
core  

On the Inducibility of Stackelberg Equilibrium for Security Games

open access: yes, 2018
Strong Stackelberg equilibrium (SSE) is the standard solution concept of Stackelberg security games. As opposed to the weak Stackelberg equilibrium (WSE), the SSE assumes that the follower breaks ties in favor of the leader and this is widely ...
An, Bo   +5 more
core   +1 more source

Satisfaction and Regret in Stackelberg Games

open access: yesCoRR
This paper introduces the new concept of (follower) satisfaction in Stackelberg games and compares the standard Stackelberg game with its satisfaction version. Simulation results are presented which suggest that the follower adopting satisfaction generally increases leader utility.
Langford B. White   +2 more
openaire   +2 more sources

Circular economy business strategies and public schemes: a game theory‐based survey

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 5, Page 2827-2869, September 2026.
Abstract This paper develops a selected survey based on game theory in circular economy (CE) by complementing two perspectives: the CE business strategies and the public schemes (PS) available to implement CE systems. These perspectives are concentrated in six CE business strategies (circular inputs, sharing platforms, product‐as‐a‐service (PaaS ...
Vinay Ramani, Pietro De Giovanni
wiley   +1 more source

MULŢIMI DE ECHILIBRE STACKELBERG ÎN JOCURILE DIADICE ÎN STRATEGII MIXTE

open access: yesStudia Universitatis Moldaviae: Stiinte Umanistice, 2010
We consider the problem of determining the set of Stackelberg equilibria for dyadic games in mixed strategies. We propose an algorithm for determining the Stackelberg equilibria in dyadic games.The main results are formulated and explained.
USM ADMIN
doaj  

Resource Allocation in Multi-User Cognitive Radio Network With Stackelberg Game

open access: yesIEEE Access, 2020
Resource allocation with sensing-based interference price is considered for multi-users cognitive radio (CR) network, in which the primary base station (PBS) controls the secondary users' (SUs) transmission by pricing the SUs' interference power.
Bing Ning   +5 more
doaj   +1 more source

Enabling Stochastic Dynamic Games for Robotic Swarms

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This paper scales stochastic dynamic games to large swarms of robots through selective agent modeling and variable partial belief space planning. We formulate these games using a belief space variant of iterative Linear Quadratic Gaussian (iLQG). We scale to teams of 50 agents through selective modeling based on the estimated influence of agents ...
Kamran Vakil, Alyssa Pierson
wiley   +1 more source

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