|Module Title||THE ARTIFICIAL INTELLIGENCE TOOLBOX: PART 1: HOW TO FIND SOLUTIONS|
|Co-ordinator||Dr Myra S Wilson|
|Other staff||Dr Myra S Wilson, Mr David J Smith, Professor Mark H Lee, Dr Yonghuai Liu, Professor Qiang Shen|
|Course delivery||Lecture||18 Hours.|
|Seminars / Tutorials||2 seminars on the assignment|
What is required to get computers to produce games AI? AI and agents as a principle for this module.What other areas use AI:? -- bioinformatics, business, robotics.
2. What AI methods are there? -- the rest of the course.
Introduce and describe minimax as an example of simplified game playing.
Uninformed Search [3 lectures]
Informed Search [3 lectures]
Evolutionary Computation for Search and Optimisation [3 lectures]
Learning and Adaptation (an overview) [1 lecture]
We can find solutions, using search, but how can we remember solutions, learn from them and adapt them to new situations? o What methods allow us to use our previous experience to predict the future?
Using the 'rlay Tennis? problem for Decision Trees and Neural Nets (this also raises the importance of knowledge representation)
Learning Method #1 Neural Nets [3 lectures]
Perceptrons Learning Method # 2 Decision Trees [3 lectures]
What is a decision tree? How do we use one? How do we build one?
TOTAL: 18 lectures, giving room to talk about how we use Java for AI, and room to talk about the assignment(s).
|Problem solving||The assignment will require students to apply their newly gained AI knowledge to a problem. Only the outline of the solution will be give, so that the student must solve the details of the problem themselves.|
|Research skills||Required to solve the problem in (1)|
|Communication||During the seminars, students will be encouraged to `brainstorm¿ and communicate between themselves and with the lecturer.|
|Improving own Learning and Performance||In order to solve the problem in (1), using the research from (2), students will improve their abilities in `learning to learn¿.|
|Information Technology||Use of IT will be vital for the completion of this module.|
This module is at CQFW Level 5