ARTIFICIAL INTELLIGENCE FUNDAMENTALS: DETAILED PLAN

 

Artificial Intelligence and agents (1)

1.     19/9 An introduction to the course

 

I - Constraint satisfaction (4)

2.     26/9 Problem formulation

3.     28/9 Problem reduction, consistency checking techniques

4.     3/10 Heuristic and efficient search, local repair methods; problem structure.

5.     5/10 I: exercise review and student’s presentations

 

 II - Knowledge representation and reasoning (7)

6.     10/10 Characterization of Knowledge Based systems. Knowledge engineering.

7.     12/10 Reasoning about change; situation calculus and the frame problem. Temporal reasoning.

8.     17/10 Non-monotonic reasoning.

9.     19/10 Reasoning about knowledge and belief

10.    24/10 Semantic networks, object representations and frames

11.    26/10 Reasoning about ontologies and description logics (the basics)

12.    31/10 II: exercise review and student’s presentations of seminal papers

 

==== ONE WEEK BREAK ======================================

 

III - Reasoning under uncertainty (4)

13.     7/11 Representing uncertain knowledge and probabilistic reasoning.

14.     9/11 Belief networks and inference

15.     14/11 Reasoning over time

16.     16/11 III: exercise review and student’s presentations of seminal papers

 

IV - Planning (4)          

17.    21/11 The planning problem, representation for actions. Planning as state-space search, regressive planning

18.    23/11 Partial order planning, planning graphs

19.    28/11 Planning in the real world: dealing with temporal and resource constraints, hierarchical planning, planning in non-deterministic domains, multi-agent planning.

20.    30/11 IV: exercise review and student’s presentations of seminal papers

 

V - Rule based systems (4)

21.    5/12 Logic programming and rule based production systems.

22.    7/12 Uncertainty in rule based systems. Efficient implementation.

23.   12/12 Constraint logic programming / abductive logic programming

24.   14/12 V: exercise review and student’s presentations of seminal papers

 

19 lectures + 5 exercise reviews = 48 hours


Last modified: Tuesday, 10 October 2017, 5:31 PM