Course abstract
An intelligent agent needs to be able to solve problems in its world. The ability to create representations of the domain of interest and reason with these representations is a key to intelligence. In this course we explore a variety of representation formalisms and the associated algorithms for reasoning. We start with a simple language of propositions, and move on to first order logic, and then to representations for reasoning about action, change, situations, and about other agents in incomplete information situations. This course is a companion to the course ?Artificial Intelligence: Search Methods for Problem Solving? that was offered recently and the lectures for which are available online.
Course Instructor
Prof. Deepak Khemani
Deepak Khemani is Professor at Department of Computer Science and Engineering, IIT Madras. He completed his B.Tech. (1980) in Mechanical Engineering, and M.Tech. (1983) and PhD. (1989) in Computer Science from IIT Bombay, and has been with IIT Madras since then. In between he spent a year at Tata Research Development and Design Centre, Pune and another at the youngest IIT at Mandi. He has had shorter stays at several Computing departments in Europe. Prof Khemani’s long-term goals are to build articulate problem solving systems using AI that can interact with human beings. His research interests include Memory Based Reasoning, Knowledge Representation and Reasoning, Planning and Constraint Satisfaction, Qualitative Reasoning and Natural Language Processing.
More info
Teaching Assistant(s)
No teaching assistant data available for this course yetCourse Duration : Jan-Apr 2021
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Syllabus
Enrollment : 18-Nov-2020 to 25-Jan-2021
Exam registration : 15-Jan-2021 to 12-Mar-2021
Exam Date : 24-Apr-2021
Enrolled
13080
Registered
154
Certificate Eligible
29
Certified Category Count
Gold
0
Silver
2
Elite
11
Successfully completed
16
Participation
62
Success
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Category : Successfully Completed
Elite
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Category : Elite
Silver
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Category : Silver
Gold
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Category : Gold
Legend
AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed
Final Score Calculation Logic
- Assignment Score = Average of best 8 out of 12 assignments.
- Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
We have taken best assignment score from both Jan 2020 and Jan2021 course
Enrollment Statistics
Total Enrollment: 13080
Registration Statistics
Total Registration : 154
Assignment Statistics
Exam score
Final score