PENERAPAN LOGIKA FUZZY LOGIC PADA ENEMY AI GAME HOROR 3D THE GATE OF NIGHTMARE MENGGUNAKAN APLIKASI UNITY3D
Bibliographic record
Abstract
Artificial Intelligence merupakan salah satu bagian ilmu komputer yang dibuat agar Mesin (komputer) dapat melakukan pekerjaan seperti dan sebaik yang dilakukan oleh manusia. Aplikasi Unity 3D adalah game engine merupakan sebuah software pengolah gambar, grafik, suara, input, dan lain-lain yang ditujukan untuk membuat suatu game, meskipun tidak selamanya harus untuk game. Saat ini, game banyak berkembang mengikut tradisi dan jaman. Maka dari itu banyak sekali perancangan game yang kurang menarik dikarenakan AI Enemy yang tidak responsive dan tersesan kaku, dan memerlukan Metode Fuzzy Logic. Fuzzy Logic adalah metodologi system control pemecahan masalah yang cocok untuk di implementasikan pada system, mulai dari sistem yang sederhana, sistem kecil, embedded system, jaringan PC, multi-channel atau workstation berbasis akuisisi data, dan system control..
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".