Pengantar Kecerdasan Buatan – Introduction to AI
Deskripsi Mata Kuliah:
Pengantar AI – Mata kuliah Pengantar AI mempelajari empat teknik dalam membangun kecerdasan mesin, yaitu Searching, Reasoning, Learning, dan Planning. Setiap teknik dan metode diajarkan secara proporsional, antara teori dan praktek. Pembahasan teori dilakukan secara umum, mulai dari motivasi, ide dasar, perbedaan antar teknik dan metode yang ada, hingga desain dan implementasinya secara detail melalui sejumlah studi kasus.
Introduction to AI – The course of Introduction to AI learns four techniques in building machine intelligence, namely Searching, Reasoning, Learning, and Planning. Each technique and method is proportionally given for theory and practice. Discussion of the theory is carried out in general, starting from motivation, basic notions, differences among the techniques and methods, to the design and implementation in detail through a number of case studies.
Pustaka – Bibliography:
Utama:
1. Suyanto, “Artificial Intelligence: Searching-Reasoning-Planning-Learning”
Edisi Revisi, Penerbit Informatika, Bandung, 2014.
2. Russel, Stuart and Norvig, Peter, “Artificial Intelligence: A Modern
Approach” Edisi 4, Prentice Hall International, Inc., 2020.
3. Suyanto, “Machine Learning: Tingkat Dasar dan Lanjut”, Penerbit
Informatika, Bandung, 2018.
4. Suyanto, “Swarm Intelligence: Komputasi Modern untuk Optimasi dan Big
Data Mining” Edisi Revisi, Penerbit Informatika, Bandung, 2019.
Pendukung:
1. Suyanto, “Evolutionary Computation: Komputasi Berbasis `Evolusi’ dan
`Genetika’”, Penerbit Informatika, Bandung, 2008.
