Subject Descriptions - Subject Information


Calendar: 2017 Postgraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology



Subject Information
Subject Code CSCI924
Subject Name Reasoning and Learning
Credit Points 6
Pre-Requisites None.
Co-Requisites None.
Restrictions None.
Equivalence None.
Assessment Assignments 50% Exam 50%
General Subject No.

Subject Description
This subject introduces students to the concepts of agents and heuristics used in intelligent reasoning and learning systems. Topics covered include multi-agent systems, agent safety, agent liveliness, computational heuristics, machine learning techniques, case based and other forms of knowledge reasoning, temporal reasoning, knowledge extraction, ontology and complexity. It examines software architectures and programming systems for implementing reasoning, learning, searching and modelling to solve intelligent systems' problems in the presence of incomplete information.


Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. choose an appropriate method to solve an intelligent systems problem
2. design agent-based applications to solve complex problems
3. apply agent algorithms to achieve robust reasoning and decision making
4. understand complexity and how to deal with it using heuristic methods.