Porównanie modeli Sztucznej Inteligencji wykorzystywanych w grach komputerowych na platformie Unity

• Autorzy: Kacprzyk Szymon , Hutsenko Vladyslav

Identyfikatory

DOI

10.35784/jcsi.6471

Warianty tytułu

EN

Comparision of Artificial Inteligence models used in computer games on the Unity platform

• Języki publikacji: PL

Abstrakty

PL

Analiza porównawcza modeli sztucznej inteligencji (SI) stosowanych w grach komputerowych obejmuje różnorodne podejścia i techniki wykorzystywane do stworzenia inteligentnych agentów w środowisku gier. Współczesne gry komputerowe wykorzystują zaawansowane systemy SI w celu zapewnienia bardziej realistycznego i wymagającego doświadczenia dla graczy. Do porównania wykorzystano trzy modele: State Machine, AI Utility oraz GOAP. Celem było zbadanie ich efektywności i zastosowania w kontekście tworzenia inteligentnych agentów w środowisku gier. Współczesne gry coraz częściej wykorzystująnowoczesne modele AI, aby zapewnić graczom immersyjność oraz zachować realizm. Podczas badań, zaimplementowano każdy z modeli a uzyskane wyniki zostały poddane szczegółowej analizie.

EN

Comparative analysis of artificial intelligence (AI) models used in computer games encompasses various approaches and techniques employed to create intelligent agents within gaming environments. Contemporary computer games utilize advanced AI systems to provide a more realistic and demanding experience for players. Three models were compared: Finite State Machine, AI Utility, and GOAP. The aim was to examine their effectiveness and applications in the context of creating intelligent agents in gaming environments. Modern games increasingly employ sophisticated AI models to ensure player immersion and maintain realism. During the research, each model was implemented, and the obtained results were subjected to detailed analysis.

Słowa kluczowe

PL

sztuczna inteligencja; State Machine; GOAP; AI Utility

EN

artificial intelligence; State Machine; GOAP; AI Utility

• Wydawca: Wydawnictwo Politechniki Lubelskiej
• Czasopismo: Journal of Computer Sciences Institute
• Rocznik: 2024
• Tom: Vol. 33
• Strony: 317--322
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Kacprzyk Szymon

• Department of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin (Poland)

autor

Hutsenko Vladyslav

• Department of Computer Science, Lublin University of Technology, Nadbystrzycka 36B, 20-618 Lublin (Poland)

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).