Skripsi

PENGAMBILAN KEPUTUSAN NPC PADA GAME MATH ATTACK MENGGUNAKAN METODE MONTE CARLO TREE SEARCH

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Penilaian

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Turn-Based Strategy (TBS) Game is a game that is played in turns with an opponent. Non-Player Character (NPC) is an opponent that the player will face in a TBS game. NPC is a character that is controlled by the system with rules that are set by the system. This makes it easy for players to predict the NPC’s actions. To overcome this problem, this research will apply the Monte Carlo Tree Seatch (MCTS) method to manage the NPCs decision making in a game called Math Attack. This research aims to make an NPC actions more difficult for the players to predict and to determine the effects of playout amount in decision making. The results from the test showed that NPCs using more playouts can make better decisions than NPCs using fewer playouts. NPC 1 had a 10% winrate ,whilst NPC 2 dan NPC 3 get 50% winrate

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307004649	T128027	T1280272023	Central Library (Referens)	Available

Detail Information

Series Title

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Call Number

T1280272023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xiv, 86 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

005.507

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

game
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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