Skripsi

RANCANGAN DAN IMPLEMENTASI ALGORITMA PROBABILISTIC FINITE STATE MACHINE PADA TOP-DOWN VIDEO GAME

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Artificial intelligence in video games plays an important role in managing the behavior of non-player characters (NPC) to make them appear dynamic and unpredictable. One method often used is the Finite State Machine (FSM), but this method has limitations because the transitions between states are deterministic and not varied. This study aims to design and implement a Probabilistic Finite State Machine (PFSM) algorithm in a top-down video game. PFSM integrates probability values at each state transition so that NPC behavior becomes more varied and adaptive to game conditions. Implementation and testing show that the use of PFSM is able to produce more dynamic variations in NPC behavior compared to conventional FSM. Thus, the PFSM algorithm can be applied effectively as a method of controlling NPC behavior in top-down video games.

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Detail Information

Series Title

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Call Number

T1897962025

Publisher

Indralaya : Prodi Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2025

Collation

xv, 134 hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

794.807

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Video Game
Prodi Teknik Informatika

Specific Detail Info

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Statement of Responsibility

MI

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