Results 51 to 60 of about 573,111 (171)
Personalized Model‐Driven Interventions for Decisions From Experience
Topics 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
Zero-Sum Stochastic Stackelberg Games [PDF]
, 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 ...
Goktas, Denizalp +2 more
core +1 more source
International Transactions in Operational Research, Volume 34, Issue 1, Page 460-500, January 2027.Abstract The application of automated ground vehicles (AGVs) is well‐established in closed environments such as port terminals, while their operation in open areas remains challenging. In this work, we set out to overcome this limitation by introducing platooning as a transfer mode in heterogeneous vehicle networks.
Nadia Pourmohammad‐Zia +2 more
wiley +1 more source
Resource Allocation in Multi-User Cognitive Radio Network With Stackelberg Game
IEEE 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
A Comprehensive Review on Federated and Incremental Learning in Spatial Crowdsourcing Systems
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 4, December 2026.A comprehensive overview of Federated and Incremental Learning (FIL) integration in Spatial Crowdsourcing, highlighting privacy, security, adaptability, efficiency challenges, and future research directions. ABSTRACT Spatial Crowdsourcing (SC) coordinates workers and requesters through personal mobile devices to complete location‐dependent tasks in ...
Md Mujibur Rahman +3 more
wiley +1 more source
Stackelberg Strategies for Weighted Load Balancing Games [PDF]
Annals of computer science and information systems, 2022 Neta Stein, Tami Tamir
doaj +1 more source
Learning Deceptive Tactics for Defense and Attack in Bayesian–Markov Stackelberg Security Games
Mathematical and Computational ApplicationsIn this paper, we address the challenges posed by limited knowledge in security games by proposing a novel system grounded in Bayesian–Markov Stackelberg security games (SSGs).
Julio B. Clempner
doaj +1 more source
Random Carbon Tax Policy and Investment Into Emission Abatement Technologies
Mathematical Finance, Volume 36, Issue 4, Page 804-825, October 2026.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
Non Cooperatives Stackelberg Networks [PDF]
Noncooperative network-formation games in oligopolies analyze optimal connection structures that emerge when linking represent the appropriation of cost-reducing one-way externalities. These models reflect situations where one firm access to another firm’
Juan M.C. Larrosa
core
Impact Investing With Shareholder Engagement
Mathematical Finance, Volume 36, Issue 4, Page 700-715, October 2026.ABSTRACT In this paper, we study the impact of shareholder engagement on asset prices and corporate practices. We develop a dynamic equilibrium model where heterogeneous green investors choose their optimal asset allocation and costly engagement efforts, and a representative firm sets its greenhouse gas (GHG) emissions to minimize both its cost of ...
Jean‐François Chassagneux +2 more
wiley +1 more source