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Logic-Based Artificial Intelligence

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    • Category : Humanities > Literature
    • Keyword : Artificial IntelligencePrologMachine LearningData MiningLogic
    • Taught by : Myat Pwint Phyu, Win Win Naing, Phyo Thandar Thant
    • Created By : University of Information Technology(Vietnam)
    • Offered By : ASEAN Cyber University
    • Date Added : 2019.12.16

    This course introduces the foundations of artificial intelligence to understand intelligence and to build intelligent software and robots that come close to the performance of humans using prolog programming.

    Creative Commons License
    This work is licensed under a
    Creative Commons
    Attribution 4.0
    International License    .
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Number of lessons: 13 facebook twitter line whatsapp kakaotalk

차시별 강의
No Contents Type & Play Subject Description URL
1. Type webcontents Subject Description
  • This material introduces principles and techniques of AI and Knowledge-based systems.
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2. Type webcontents Subject Description
  • This material explains about how knowledge (propositions in either true or false) are represented.
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3. Type webcontents Subject Description
  • This material explains to understand how knowledge are represented in FOL.
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4. Type webcontents Subject Description
  • This material explains to understand limitations of logic for human intution and reasoning. This material explains to understand the basic concept of PROLOG programming.
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5. Type webcontents Subject Description
  • This material explains the syntax of PROLOG programming.
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6. Type webcontents Subject Description
  • This material explains to develop the programs, for the real world problems, using PROLOG.
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7. Type webcontents Subject Description
  • This material explains the analysis of the difference types of search algorithms and role of heuristics using prolog
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8. Type webcontents Subject Description
  • This material explains the analysis of the difference types of search algorithms and role of heuristics
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9. Type webcontents Subject Description
  • This material explains how to solve problems with noise and uncertainty using probabilistic techniques.
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10. Type webcontents Subject Description
  • This material explains about Bayesian network.
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11. Type webcontents Subject Description
  • This material explains to understand basic concepts of machine learning & data mining techniques.
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12. Type webcontents Subject Description
  • This material explains classification methods in data mining using prolog.
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13. Type webcontents Subject Description
  • This material explains clustering methods in data mining using prolog.
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