Knowledge Representation | Reasoning | Advanced | Free Course | Alison
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Advanced Knowledge Representation and Reasoning

Learn about the methods of knowledge representation, computational learning and reasoning in this free online course.

Data Science
Free Course
Knowledge representation and reasoning is an essential aspect of artificial intelligence. This free online course describes the several methods of knowledge representation and reasoning, approaches to computational learning, the order of logics, and the areas of applications of processes within the domain of cognitive reasoning. By the end of this course, you will become better informed about the logic behind computational logic and reasoning.
  • Duration

    3-4 Hours
  • Assessment

    Yes
  • Certification

    Yes
  • Responsive

    Yes
  • Publisher

    NPTEL

Description

Modules

Outcome

Certification

View course modules

Description

Knowledge representation and reasoning is an important area of artificial intelligence concerned with the symbolic representation of knowledge in an automated way by reasoning programs. This free online course on Advanced knowledge representation and reasoning will explain to you in detail the contribution of thinking to intelligent behaviour. You will be introduced to the concept of logic, psychology and philosophy of reason. The course focuses on how humans are able to behave intelligently and apply knowledge appropriately to adapt to their environment.

The course begins by explaining the use of declarative semantics in first-order logic. The course describes conceptualization as a field of study in artificial intelligence and how satisfiability is often regarded as a notion of truth. You will learn about the formulation of knowledge in a descriptive way and the underlying principles that guide the development of knowledge formula. You will study the roles of axiom in artificial intelligence and the use of models in knowledge representation.

This free online course then discusses the rules of inferences, theorems and proofs in knowledge representation. You will study the relationship between existential and universal generalization. You will also get to know more about the concept of soundness and completeness. This course will be of great advantage to computer science professionals with a keen interest in computation behavior. Get started today and be well equipped with the required knowledge to thrive in the world of artificial intelligence.

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Learning Outcomes

Upon successful completion of this course you will be able to;


  • Describe resolutions for ground clauses and resolvents 
  • List the different types of resolution rules 
  • Discuss resolutions refutation proof systems 
  • Describe the concept of soundness and completeness 
  • Explain the answering of queries in first order logic 
  • Describe resolutions for ground clauses and resolvents 
  • List the different types of resolution rules 
  • Discuss resolutions refutation proof systems 
  • Describe the concept of soundness and completeness 
  • Describe the answering of queries in first order logic 
  • Explain the answer extraction process in first order logic 
  • Discuss the infinite resolution branch in the procedural control of reasoning 

Certification

All Alison courses are free to enrol, study and complete. To successfully complete this Certificate course and become an Alison Graduate, you need to achieve 80% or higher in each course assessment. Once you have completed this Certificate course, you have the option to acquire an official Certificate, which is a great way to share your achievement with the world. Your Alison Certificate is:

Ideal for sharing with potential employers - include it in your CV, professional social media profiles and job applications
An indication of your commitment to continuously learn, upskill and achieve high results
An incentive for you to continue empowering yourself through lifelong learning

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