Szczegóły publikacji
Opis bibliograficzny
Framework for modelling of learning, acting and interacting in systems / Artur POPŁAWSKI // W: Intelligent systems and applications : proceedings of the 2022 Intelligent Systems Conference (IntelliSys) : [1–2 September 2022, Amsterdam, the Netherlands], Vol. 1 / ed. Kohei Arai. — Cham : Springer Nature Switzerland, cop. 2023. — (Lecture Notes in Networks and Systems ; ISSN 2367-3370 ; vol. 542). — ISBN: 978-3-031-16071-4; e-ISBN: 978-3-031-16072-1. — S. 281–294. — Bibliogr., Abstr. — Publikacja dostępna online od: 2022-08-31. — A. Popławski - dod. afiliacja: NOKIA Kraków Technology Center, Kraków
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 143218 |
|---|---|
| Data dodania do BaDAP | 2022-11-16 |
| DOI | 10.1007/978-3-031-16072-1_21 |
| Rok publikacji | 2023 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Networks and Systems |
Abstract
This work outlines unified formal approach to modelling and analysis of different ML problems in single-user and multi-user setting. This is done by extending formal framework of game theory and enriching standard definition of the game by introducing state (or memory) and algorithm for the players. This together creates formal tool allowing expression of the subtle properties of the models and algorithms. Additionally proposed definitions try to capture stochastic aspects of both algorithms and environment algorithms operate hence make stochasticity internal to the model.
