{
  "id": "intelegensia-buatan-uas-2020-reg-b",
  "subject": "Kecerdasan Artifisial",
  "exam": "UAS",
  "year": 2020,
  "variant": "Reg B",
  "sources": [
    {
      "file": "UAS/Intelegensia Buatan - UAS - 2020 - Reg B.pdf",
      "type": "pdf",
      "part": 0
    }
  ],
  "pageCount": 1,
  "charCount": 1860,
  "pages": [
    {
      "source": "UAS/Intelegensia Buatan - UAS - 2020 - Reg B.pdf",
      "page": 1,
      "method": "text-layer",
      "text": "1\nUJIAN AKHIR SEMESTER GENAP TAHUN AKADEMIK 2019/2020\nPROGRAM STUDI S1 ILMU KOMPUTER\nFAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM\nUNIVERSITAS GADJAH MADA\nMata kuliah : Inteligensia Buatan / Kelas Reg B\nHari, tanggal : Jum’at, 08-Mei-2020\nWaktu : 120 menit (13.00-15.00)\nDosen : Retantyo Wardoyo\nSifat Ujian : Hanya boleh membuka catatan kuliah\nPLO4; CO-3 (10%): [Be able to identify the knowledge and represent the knowledge in properly,\nalso able to do unification during inference the knowledge.]\n1. The following information is found: Ani and Budi are students. Each student has an academic\nadvisor. If a student has taken the final project, then the academic advisor is the final project\nsupervisor. Budi has taken his final project with Charlie as his supervisor.\na. Write the information in predicate logic.\nb. Show with CNF whether if Ani has not taken the final project, then the academic advisor is\nnot Charlie.\nPLO4; CO-4 (15%): [Be able to explain the architecture of expert system]\n2. An 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 of\nseveral major components that must be provided in the system.\na. Describe different users in expert systems.\nb. Give an example of the use of agenda in expert system!\nc. Describe the use of inexact reasoning in expert systems, give some examples\nPLO3; CO-5: [Be able to explain an architecture of Natural Language Processing System];\nscore: 15%\n3. Write the parsing process for the phrase \"ccbccdabddabd\" using the following grammar rules\nand their probabilities, and specify the resulting parse tree and its probability!\nS → ABC (0.6)\nS → BA (0.4)\nA → GI (0.55)\nA → CG (0.45)\nB → AC (0.25)\nB → BCG (0.35)\nB → CI (0.4)\nC → aA (0.7)\nC → c (0.3)\nG → BB (0.65)\nG → b (0.35)\nI → d"
    }
  ],
  "text": "1\nUJIAN AKHIR SEMESTER GENAP TAHUN AKADEMIK 2019/2020\nPROGRAM STUDI S1 ILMU KOMPUTER\nFAKULTAS MATEMATIKA DAN ILMU PENGETAHUAN ALAM\nUNIVERSITAS GADJAH MADA\nMata kuliah : Inteligensia Buatan / Kelas Reg B\nHari, tanggal : Jum’at, 08-Mei-2020\nWaktu : 120 menit (13.00-15.00)\nDosen : Retantyo Wardoyo\nSifat Ujian : Hanya boleh membuka catatan kuliah\nPLO4; CO-3 (10%): [Be able to identify the knowledge and represent the knowledge in properly,\nalso able to do unification during inference the knowledge.]\n1. The following information is found: Ani and Budi are students. Each student has an academic\nadvisor. If a student has taken the final project, then the academic advisor is the final project\nsupervisor. Budi has taken his final project with Charlie as his supervisor.\na. Write the information in predicate logic.\nb. Show with CNF whether if Ani has not taken the final project, then the academic advisor is\nnot Charlie.\nPLO4; CO-4 (15%): [Be able to explain the architecture of expert system]\n2. An 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 of\nseveral major components that must be provided in the system.\na. Describe different users in expert systems.\nb. Give an example of the use of agenda in expert system!\nc. Describe the use of inexact reasoning in expert systems, give some examples\nPLO3; CO-5: [Be able to explain an architecture of Natural Language Processing System];\nscore: 15%\n3. Write the parsing process for the phrase \"ccbccdabddabd\" using the following grammar rules\nand their probabilities, and specify the resulting parse tree and its probability!\nS → ABC (0.6)\nS → BA (0.4)\nA → GI (0.55)\nA → CG (0.45)\nB → AC (0.25)\nB → BCG (0.35)\nB → CI (0.4)\nC → aA (0.7)\nC → c (0.3)\nG → BB (0.65)\nG → b (0.35)\nI → d"
}