Knowledge Representation and Reasoning (Distance Learning) - CMI7505

Assessment 1: Other

Students will undertake a series of formative exercises through the University’s Virtual Learning Environment. Feedback, advice and guidance will be provided for these exercises.

Other

Assessment 2: Portfolio

Individually produce solutions to problem-solving and/or decision-making tasks that require advanced forms of knowledge representation and reasoning, such as answer set programming and description logics.

Portfolio

Assessment 1: Portfolio

Individually produce solutions to problems that require some form of logic-based knowledge representation and reasoning, including implementation and evaluation of logic programming solutions.

<p>Knowledge representation and reasoning (KR) is the field of artificial intelligence dedicated to representing information about the world in a form that computer systems can manipulate and utilise to solve complex tasks such as making decisions, diagnosing a medical condition, finding suitable answers to queries or having a dialog in a natural language. This module will introduce you to KR principles, languages and algorithms and help you gain experience in using them to solve practical problems. You will also learn about applications such as the semantic web and knowledge graphs which have found deployment in big corporations such as Google and Amazon.</p>

School of Computing and Engineering

<p>https://library.hud.ac.uk/readinglists/CMI7505</p>

Computing and Information Systems

CMI7505 - Knowledge Representation and Reasoning (Distance Learning)

Knowledge Representation and Reasoning (Distance Learning)

Apply logic programming techniques to solve a significant problem requiring knowledge representation and reasoning.

Analyse in depth a variety of established logic-based knowledge representation languages and use them to formulate sound and complete reasoning.

Recognise the need for advanced forms of knowledge representation languages and reasoning algorithms and examine critically their applications.

Employ advanced knowledge representation and reasoning techniques and algorithms and demonstrate their application in areas such as knowledge graphs and cognitive robotics.