Szczegóły publikacji
Opis bibliograficzny
Artificial intelligence techniques for the Puerto Rico strategy game / Rafał DREŻEWSKI, Maciej Klęczar // W: Agent and multi-agent systems: technologies and applications : 11th KES international conference, KES-AMSTA 2017 : Vilamoura, Algarve, Portugal, June 2017 : proceedings / eds. Gordan Jezic, [et al.]. — Cham : Springer International Publishing, cop. 2017. — (Smart Innovation, Systems and Technologies ; ISSN 2190-3018 ; vol. 74). — ISBN: 978-3-319-59393-7; e-ISBN: 978-3-319-59394-4. — S. 77–87. — Bibliogr., Abstr. — Publikacja dostępna online od: 2017-05-24
Autorzy (2)
- AGHDreżewski Rafał
- Klęczar Maciej
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 107335 |
|---|---|
| Data dodania do BaDAP | 2017-09-04 |
| Tekst źródłowy | URL |
| DOI | 10.1007/978-3-319-59394-4_8 |
| Rok publikacji | 2017 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Konferencja | 11th KES International Conference on Agent and Multi-Agent Systems - Technologies and Applications |
| Czasopismo/seria | Smart Innovation, Systems and Technologies |
Abstract
It was always a challenging task to create artificial opponents for strategy video games. It is usually quite easy to discover and exploit their weaknesses because their tactics usually do not adapt to changing conditions and to human opponent tactics. In this paper two artificial intelligence techniques for well known Puerto Rico strategy game are proposed. One of them does not rely on any precoded tactics, but tries to dynamically learn and adapt to the changing game environment. Both techniques were compared on the basis of results of games played against each other and also against human expert players.
