Results 51 to 60 of about 16,567 (203)

Leadership in Singleton Congestion Games: What is Hard and What is Easy

open access: yes, 2018
We study the problem of computing Stackelberg equilibria Stackelberg games whose underlying structure is in congestion games, focusing on the case where each player can choose a single resource (a.k.a.
Castiglioni, Matteo   +3 more
core   +1 more source

The Generalized Stackelberg Equilibrium of the Two-Person Stopping Game

open access: yesJournal of the Operations Research Society of China, 2023
AbstractIn modeling the bilateral selection of states of the process, Dynkin (Dokl Akad Nauk USSR 185:241–288, 1969) proposed a two-person game in which players use stopping moments as strategies. The purpose of this work is to present a model of the game in which the players have different information about the process itself, as well as various laws ...
Marek Skarupski, Krzysztof J. Szajowski
openaire   +1 more source

Equilibrium Reward for Liquidity Providers in Automated Market Makers

open access: yesMathematical Finance, EarlyView.
ABSTRACT We find the equilibrium contract that an automated market maker (AMM) offers to their strategic liquidity providers (LPs) in order to maximize the order flow that gets processed by the venue. Our model is formulated as a leader–follower stochastic game, where the venue is the leader and a representative LP is the follower.
Alif Aqsha   +2 more
wiley   +1 more source

Random Carbon Tax Policy and Investment Into Emission Abatement Technologies

open access: yesMathematical Finance, EarlyView.
ABSTRACT We analyze the problem of a profit‐maximizing electricity producer, subject to carbon taxes, who decides on investments into CO2$\rm CO_2$ abatement technologies. We assume that the carbon tax policy is random and that the investment in the abatement technology is divisible, irreversible, and subject to transaction costs.
Katia Colaneri   +2 more
wiley   +1 more source

Partial Cooperative Equilibria: Existence and Characterization

open access: yesGames, 2010
We study the solution concepts of partial cooperative Cournot-Nash equilibria and partial cooperative Stackelberg equilibria. The partial cooperative Cournot-Nash equilibrium is axiomatically characterized by using notions of rationality, consistency and
Amandine Ghintran   +3 more
doaj   +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

Privatization in oligopoly : the impact of the shadow cost of public funds [PDF]

open access: yes, 2010
The aim of this paper is to investigate the welfare effect of privatization in oligopoly when the government takes into account the distortionary effect of raising funds by taxation (shadow cost of public funds).
Capuano, Carlo, De Feo, Giuseppe
core   +1 more source

Stackelberg Dynamic Game-Based Resource Allocation in Threat Defense for Internet of Things

open access: yesSensors, 2018
With the rapid development of the Internet of Things, there are a series of security problems faced by the IoT devices. As the IoT devices are generally devices with limited resources, how to effectively allocate the restricted resources facing the ...
Bingjie Liu, Haitao Xu, Xianwei Zhou
doaj   +1 more source

Rage Against the Machines: How Subjects Learn to Play Against Computers [PDF]

open access: yes, 2005
We use an experiment to explore how subjects learn to play against computers which are programmed to follow one of a number of standard learning algorithms.
Dürsch, Peter   +3 more
core   +6 more sources

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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