Artificial
Intelligence (180703) Mid Semester Exam – Jan-May 2015 Syllabus
Unit –
1 Problems
And State Space Search
The AI
problems, The underlying assumption, What is an AI technique? , The Level of
the Model, Criteria for Success, General references, One final word
Unit –
2 Problems And State Space Search
Defining the problem as a state
space search, Production systems, Problem characteristics, Production system
characteristics, Issues in the design of search programs, Additional problems
Unit –
3 Heuristic Search Techniques
Generate and test, Hill climbing,
Best first search, Problem reduction, Constraint satisfaction, Means ends
analysis
Unit –
4 Knowledge Representation Issues
Representations And Mappings,
Approaches To Knowledge Representation
Unit –
5 Using Predicate Logic
Representation Simple Facts In
Logic, Representing Instance And Isa Relationships, Computable Functions And
Predicates, Resolution
Unit –
6 Representing Knowledge Using Rules
Procedural versus Declarative
Knowledge, Logic Programming, Forward Versus Backward Reasoning
Practical
List-1
No comments:
Post a Comment