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I Gusti Ayu Agung Diatri Indradewi, S.Kom

I Gusti Ayu Agung Diatri Indradewi, S.Kom. Presensi min. 75%. Toleransi masuk kelas 15 menit. Gunakan jas almamater saat ujian. Tugas : 15% Quiz : 15% UTS : 25% UAS : 35% Keaktifan : 10%. Pengenalan AI Konsep Dasar AI Perbedaan Pemrograman Konvensional dengan

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I Gusti Ayu Agung Diatri Indradewi, S.Kom

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  1. I Gusti Ayu Agung Diatri Indradewi, S.Kom

  2. Presensi min. 75% Toleransi masuk kelas 15 menit Gunakan jas almamater saat ujian

  3. Tugas : 15% Quiz : 15% UTS : 25% UAS : 35% Keaktifan : 10%

  4. Pengenalan AI Konsep Dasar AI Perbedaan Pemrograman Konvensional dengan Pemrograman Berbasis AI Bidang Aplikasi AI Penyelesaian Masalah Berdasarkan Teknik AI Representasi Masalah Konsep State Space Search Karakteristik Masalah Pencarian Buta (Blind Search) Depth First Search Breadth First Search Pencarian Heuristik (Heuristic Search) Generate and Test Hill Climbing Best First Search Representasi Pengetahuan I Propotional Logic Predicate Logic Representasi Pengetahuan II Semantic Networks Production Rules

  5. 7. Representasi Pengetahuan III Triplet Object-Attribute-Value Frames 8. UJIAN TENGAH SEMESTER (UTS) 9. Representasi Pengetahuan IV Scripts Uncertainty Representation 10. Statistical Reasoning Probabilitas Teori Bayesian Teori Dempster-Shafer Certainty Factors 11. Algoritma AI I Simulated Annealing Adaptive Resonance Theory 12. Algoritma AI II Ant Algorithms Genetic Algorithms

  6. 13. Advanced Topics I Planning Understanding 14. Advanced Topics II Expert Systems Natural Language Processing Learning (Neural Networks) 15. UJIAN AKHIR SEMESTER (UAS)

  7. Sri Kusumadewi, Artificial Intelligence (Teknik dan Aplikasinya), Graha Ilmu, 2003

  8. ARTIFICIAL INTELLIGENCE

  9. Homo Sapiens = Man the Wise

  10. Think Like Humans

  11. Think Rationally

  12. Act Like Humans

  13. Act Rationally

  14. Knowledge Base • Fakta-fakta • Teori • Pemikiran • Hubungan satu dan lainnya Inference Engine • Kemampuan menarik • kesimpulan berdasarkan • pengalaman

  15. Knowledge Base Inference Engine Input : Output : masalah jawaban pertanyaan solusi

  16. The Advantage • Lebih bersifat permanen • Mudah diduplikasi dan disebarkan • Lebih murah • Bersifat konsisten • Dapat didokumentasi • Dapat bekerja lebih cepat • Dapat bekerja lebih baik

  17. The Advantage • Kreatif • Dapat menggunakan pengalaman • secara langsung • Pemikiran dapat digunakan • secara luas

  18. Pemrograman Konvensional AI Vs

  19. Pemrosesan Mengandung konsep simbolik Vs Algoritmik

  20. Sifat Input Bisa tidak lengkap Vs Harus lengkap

  21. Pencarian Kebanyakan bersifat heuristik Vs Biasanya didasarkan pada algoritma

  22. Keterangan Disediakan Vs Biasanya tidak disediakan

  23. Fokus Pengetahuan Vs Data & informasi

  24. Struktur Kontrol dipisahkan dari pengetahuan Vs Kontrol terintegrasi dengan informasi (data)

  25. Sifat Output Kuantitatif Vs Kualitatif

  26. Pemeliharaan & Update Relatif mudah Vs Sulit

  27. Kemampuan Menalar Ya Vs Tidak

  28. “It is not my aim to surprise or shock you – but the simplest way I can summarize is to say that there are now in the world machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until – in a visible future – the range of problem they can handle will be coextensive with the range to which the human mind has been applied” Herbert Simon, 1957

  29. Bidang Aplikasi AI

  30. Logic Theorist Sad Sam ELIZA

  31. Natural Language Processing Expert System Speech Recognition Robotics & Sensory Systems Computer Vision Intelligent Computer-aided Instruction Game Playing

  32. Soft Computing

  33. Sistem Fuzzy (mengakomodasi ketidaktepatan) Jaringan Syaraf (menggunakan pembelajaran) Probabilistic Reasoning (mengakomodasi ketidakpastian) Evolutionary Computing (optimasi)

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