Learning in a Hiring Logic and Optimal Contracts
This paper examines a hiring logic problem in which all players involved in this game are exposed to scenarios where they can learn from the changes and these modifications influence their preferences; consequently, their decision-making differs from the classical agency theory proposed by <xref...
Enregistré dans:
Auteurs principaux: | Jose Iranildo Sales, Francisco de Sousa Ramos |
---|---|
Format: | article |
Langue: | EN |
Publié: |
IEEE
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/cfbc1d78b3794e97b3b6fd6c960c7a8d |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Chaos Addresses Energy in Networks of Electrical Oscillators
par: Maide Bucolo, et autres
Publié: (2021) -
Construction machinery hire rates deviation in Malaysia: an inflation rate effect analysis
par: Ali Musarat,Muhammad, et autres
Publié: (2021) -
Tingkat Kesulitan Dinamis Menggunakan Logika Fuzzy pada Game Musik Tradisional Jawa Tengah
par: Kadhana Reya Wisinggya, et autres
Publié: (2021) -
A NEW METHODOLOGY CALLED DICE GAME OPTIMIZER FOR CAPACITOR PLACEMENT IN DISTRIBUTION SYSTEMS
par: M. Dehghani, et autres
Publié: (2020) -
A Robust Iterative Learning Control for Continuous-Time Nonlinear Systems With Disturbances
par: Michele Pierallini, et autres
Publié: (2021)