Analyse concepts that facilitate modelling knowledge, like propositional logic, predicate logic, uncertainty and fuzzy logic, analyse concepts that enable the development of purpose-oriented architectures, like knowledge representation, corpus, language processing and production systems, and analyse advanced systems that involve expert systems, like ontologies & intelligent agents, decision support systems and behavioural robotics.

Course Objectives

1.Analyse concepts that facilitate modelling knowledge

2.Develop purpose-oriented architectures

3.Analyse concepts for building advanced systems

Recommended or Required Reading

Giarratano, Joseph C.; Ritel, Gary D.; 2005; “Expert Systems – Principles and Programming”; Thompson Course Technology; 0-534-38447-1 ,Helbig, Hermann; 2006; “Knowledge Representation and the Semantics of Natural Language”; Springer; 3-540-24461-1 ,Wooldridge, Michael; 2009; “An Introduction to MultiAgent Systems”; Wiley; 978-0-470-51946-2 ,Siler, W; Buckley, JJ; 2005; “Fuzzy expert systems and fuzzy reasoning “; Wiley

Learning Outcomes

Upon the completion of this course a student :

1. Acquire and model knowledge
2. Develop knowledge-based systems
3. Re-organise knowledge
4. Develop reasoning systems

Grading

Midterm 30%

Homework 10%

Research Presentation 30%

Final 30%