Results 61 to 70 of about 21,296 (205)

Zero-Sum Stochastic Stackelberg Games

open access: yes, 2022
Zero-sum stochastic games have found important applications in a variety of fields, from machine learning to economics. Work on this model has primarily focused on the computation of Nash equilibrium due to its effectiveness in solving adversarial board and video games. Unfortunately, a Nash equilibrium is not guaranteed to exist in zero-sum stochastic
Goktas, Denizalp   +2 more
openaire   +2 more sources

Cross Ownership Versus Merger Under Product Differentiation

open access: yesJournal of Economics &Management Strategy, EarlyView.
ABSTRACT We compare the merger participants' profits under a merger and under cross ownership (CO) in an oligopolistic industry with horizontally differentiated products. We show under Cournot competition that the merger participants would be better off under a symmetric CO than a merger.
Arijit Mukherjee
wiley   +1 more source

Simulation of the Stackelberg–Hotelling Game

open access: yesGames
This work studies the Hotelling game with sequential choice of prices, that is, the Stackelberg–Hotelling (SHOT) game. The game is studied through numerical simulation, which provides the subgame perfect equilibrium solution not only in the unrestricted game but also in the game with reservation cost and with elastic demand. The simulation technique is
Garcia Perez, Luis   +3 more
openaire   +5 more sources

Buyer Power and the Effect of Vertical Integration on Innovation

open access: yesJournal of Economics &Management Strategy, EarlyView.
ABSTRACT Our article investigates the impact of vertical integration (without foreclosure) on innovation. We compare cases where either (i) two manufacturers or (ii) a manufacturer and a vertically integrated retailer invest. Then, the independent manufacturer(s) and the retailer bargain over nonlinear contracts before selling to consumers.
Claire Chambolle, Morgane Guignard
wiley   +1 more source

Backwards-induction outcome in a quantum game

open access: yes, 2002
In economics duopoly is a market dominated by two firms large enough to influence the market price. Stackelberg presented a dynamic form of duopoly that is also called `leader-follower' model.
A. H. Toor   +11 more
core   +1 more source

Strategic rationing in Stackelberg games

open access: yesGames and Economic Behavior, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yousefimanesh, Niloofar   +2 more
openaire   +1 more source

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

Coordinating a bi‐level blood supply chain with interactions between supply‐side and demand‐side operational decisions

open access: yesInternational Transactions in Operational Research, Volume 33, Issue 3, Page 1971-2015, May 2026.
Abstract In most blood supply chains, blood centers and hospitals make individual decisions, resulting in an inefficient structure of the blood supply chain, which in turn renders supply and demand matching a challenging exercise. In this work, we make the very first attempt to optimize the interaction between blood centers and hospitals.
Mohammad S. Moshtagh   +2 more
wiley   +1 more source

Energy Management for a User Interactive Smart Community: A Stackelberg Game Approach

open access: yes, 2014
This paper studies a three party energy management problem in a user interactive smart community that consists of a large number of residential units (RUs) with distributed energy resources (DERs), a shared facility controller (SFC) and the main grid.
Chai, Bo   +4 more
core   +1 more source

Prediction of Depression Relapse Using Machine Learning With Administrative Data: Balancing Complexity and Simplicity

open access: yesQuality and Reliability Engineering International, Volume 42, Issue 3, Page 1009-1022, April 2026.
ABSTRACT Depression is a mental disorder with a high lifetime prevalence and one of the leading causes of disability worldwide. As many patients experience another depressive episode after being treated, predictive monitoring for the risk of relapse is essential for healthcare professionals to be able to follow up on patients and intervene early ...
Paulina von Stackelberg   +4 more
wiley   +1 more source

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