AI: Constraint Satisfaction

Course Duration: 8Weeks

@VTU COE

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(0) 16 Students
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What you will learn

  • Computer Science and Engineering

  • Artificial Intelligence

Human beings solve problems in many different ways. Problem solving in artificial intelligence (AI) is inspired from these diverse approaches. AI problem solvers may be based on search, on memory, or on knowledge representation and reasoning. An approach to problem solving is to pose problems as constraint satisfaction problems (CSP), and employ general methods to solve them. The task of a user then is only to pose a problem as a CSP, and then call an off-the-shelf solver. CSPs are amenable to combining search based methods with reasoning. In this 2 credit course we will look at general approaches to solving finite domain CSPs, and explore how search can be combined with constraint propagation to find solutions. This course is a companion to the course Artificial Intelligence: Search Methods for Problem Solving that was offered recently and Artificial Intelligence: Knowledge Representation & Reasoning that is being offered concurrently. The lectures for both courses are available online.

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Meet Your Instructor

Instructor
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51 Students
741 Courses
About Instructor

VTU is one of the largest Technological Universities in India with 24 years of Tradition of excellence in Engineering & Technical Education, Research and Innovations. It came into existence in the year 1998 to cater the needs of Indian industries for trained technical manpower with practical experience and sound theoretical knowledge.

video

Free

  • Course Duration
    22 h 10 m 23 s
  • Course Level
    Intermediate
  • Student Enrolled
    16
  • Language
    English
This Course Includes
  • 22 h 10 m 23 s Video Lectures
  • 0 Quizzes
  • 0 Assignments
  • 0 Downloadable Resources
  • Full Lifetime Access
  • Certificate of Completion