{
  "id": "intelegensia-buatan-uas-2019-iup",
  "subject": "Kecerdasan Artifisial",
  "exam": "UAS",
  "year": 2019,
  "variant": "IUP",
  "sources": [
    {
      "file": "UAS/Intelegensia Buatan - UAS - 2019 - IUP.pdf",
      "type": "pdf",
      "part": 0
    }
  ],
  "pageCount": 1,
  "charCount": 1471,
  "pages": [
    {
      "source": "UAS/Intelegensia Buatan - UAS - 2019 - IUP.pdf",
      "page": 1,
      "method": "text-layer",
      "text": "UJlAN AKHIR SEMESTER GEN AP TAHUN AKADEMIK 2018/2019\nPROGRAM STUDI S1 ILMU KOMPUTER\nFAKUL TASMA TEMATIKA DAN ILMU PENGET AHUAN ALAM\nUNIVERSIT AS GADJAH MADA\nMata kuliah\nHari, tanggal\n' Waktu\nDoscn\nSifat Ujian\n: Inteligensia Buatan / Kelas A\n: Rabu, 19-Juni-2019\n: 120 menit (07.30-09.30)\n: Retantyo Wardoyo\n: Hanya boleh membuka catatan kuliah\nPL04; C0-4: [Be able to explain the architecture\nof\nexpert system}; score: 10%\n1.\nAn expert system is a computer-based system that has the ability to handle problems by\nthinking or providing solutions like an expert, so that the expert system architecture consists\nof\nseveral major components that must be provided in the system.\na.\nDescribe the general architecture\nof\na complete expert system!\nb. Describe the use\nof\ninexact reasoning in expert systems, give some examples\nPL03; C0-5: [Be able to explain an architecture of Natural Language Processing System};\nscore: 20%\n2. Write the parsing process for the phrase\n11\ncbccdcbdcdcbbd\n11\nusing the following grammar rules\nand their probabilities, and specify the resulting parse tree and its probability!\nS--+ ABC (0.6) C--+ aA (0.7)\nS\n--+\nBA (0.4) C\n--+\nc (0.3)\nA--+ GI (0.55) G--+ BB (0.65)\nA--+ CG (0.45) G--+ b (0.35)\nB\n--+\nAC (0.25) I--+ d\nB--+ BCG (0.35)\nB\n--+\nCI (0.4)\nPL0-3; C0-6 (10%): [Be able\nto\nexplain the definition and the applications\nof\npattern\nrecognitions];\n3. Explain briefly a process to recognise fruit classification, what feature used, and how to test."
    }
  ],
  "text": "UJlAN AKHIR SEMESTER GEN AP TAHUN AKADEMIK 2018/2019\nPROGRAM STUDI S1 ILMU KOMPUTER\nFAKUL TASMA TEMATIKA DAN ILMU PENGET AHUAN ALAM\nUNIVERSIT AS GADJAH MADA\nMata kuliah\nHari, tanggal\n' Waktu\nDoscn\nSifat Ujian\n: Inteligensia Buatan / Kelas A\n: Rabu, 19-Juni-2019\n: 120 menit (07.30-09.30)\n: Retantyo Wardoyo\n: Hanya boleh membuka catatan kuliah\nPL04; C0-4: [Be able to explain the architecture\nof\nexpert system}; score: 10%\n1.\nAn expert system is a computer-based system that has the ability to handle problems by\nthinking or providing solutions like an expert, so that the expert system architecture consists\nof\nseveral major components that must be provided in the system.\na.\nDescribe the general architecture\nof\na complete expert system!\nb. Describe the use\nof\ninexact reasoning in expert systems, give some examples\nPL03; C0-5: [Be able to explain an architecture of Natural Language Processing System};\nscore: 20%\n2. Write the parsing process for the phrase\n11\ncbccdcbdcdcbbd\n11\nusing the following grammar rules\nand their probabilities, and specify the resulting parse tree and its probability!\nS--+ ABC (0.6) C--+ aA (0.7)\nS\n--+\nBA (0.4) C\n--+\nc (0.3)\nA--+ GI (0.55) G--+ BB (0.65)\nA--+ CG (0.45) G--+ b (0.35)\nB\n--+\nAC (0.25) I--+ d\nB--+ BCG (0.35)\nB\n--+\nCI (0.4)\nPL0-3; C0-6 (10%): [Be able\nto\nexplain the definition and the applications\nof\npattern\nrecognitions];\n3. Explain briefly a process to recognise fruit classification, what feature used, and how to test."
}