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Swayam Central

Artificial Intelligence: Knowledge Representation And Reasoning

By Prof. Deepak Khemani   |   IIT Madras
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. 

INTENDED AUDIENCE : BE/ME/MS/MSc/PhD students 
PREREQUISITES : Some exposure to formal languages, logic and programming 
INDUSTRY SUPPORT : Software companies dealing with knowledge and reasoning, including the semantic web and semantic search.

Learners enrolled: 2884

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 12 weeks
Start Date : 27 Jan 2020
End Date : 17 Apr 2020
Exam Date : 25 Apr 2020
Enrollment Ends : 03 Feb 2020
Category :
  • Computer Science and Engineering
  • Level : Undergraduate/Postgraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1: Introduction, Propositional Logic, Syntax and Semantics 
    Week 2: Proof Systems, Natural Deduction, Tableau Method, Resolution Method 
    Week 3: First Order Logic (FOL), Syntax and Semantics, Unification, Forward Chaining 
    Week 4: The Rete Algorithm, Rete example, Programming Rule Based Systems 
    Week 5: Representation in FOL, Categories and Properties, Reification, Event Calculus 
    Week 6: Conceptual Dependency (CD) Theory, Understanding Natural Language 
    Week 7: Deductive Retrieval, Backward Chaining, Logic Programming with Prolog 
    Week 8: Resolution Refutation in FOL, FOL with Equality, Complexity of Theorem Proving 
    Week 9: Semantic Nets, Frames, Scripts, Goals and Plans 
    Week 10: Description Logic (DL), Structure Matching, Classification 
    Week 11: Extensions of DL, The ALC Language, Inheritance in Taxonomies 
    Week 12: Default Reasoning, Circumscription, The Event Calculus Revisited 
    Week 13: Default Logic, Autoepistemic Logic, Epistemic Logic, Multi Agent Scenarios

    BOOKS AND REFERENCES

    NILL

    INSTRUCTOR BIO

    Prof. Deepak Khemani

    IIT Madras
    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.

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 25th April 2020, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE:
    • Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments
     given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. 
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Madras. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies will not be dispatched.

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