Artificial Intelligence Course
Lecture Notes, Text books, References
by R C Chakraborty, www.myreaders.info
These are my Lecture Notes for the course on Artificial
Intelligence, I offered to the students of B.Tech 6th semester in the year
2006-2013, at JUET, CSE Dept. where I was Visiting Professor.
For
the lecture notes move on to Website page URL : http://myreaders.info/html/artificial_intelligence.html
Sec.
|
Content
|
Hrs
|
Page
|
01
|
Introduction to AI
Definitions, Goals of AI, AI
Approaches, AI Techniques, Branches of AI, Applications of AI.
|
1-6
|
1-51
|
02
|
Problem Solving, Search and Control
Strategies
General problem solving,
Search and control strategies, Exhaustive searches, Heuristic search techniques, Constraint satisfaction problems (CSPs) and
models .
|
7-14
|
1-75
|
03
|
Knowledge Representations
Issues, Predicate Logic,
Rules, KR using predicate logic, KR
using rules.
|
15-22
|
1-79
|
04
|
Reasoning System
Over view, Symbolic reasoning, Statistical reasoning.
|
23-28
|
1-72
|
05
|
Game Playing
Overview, Mini-Max search procedure, Game playing
with Mini-Max, Alpha-Beta pruning.
|
29-30
|
1-36
|
06
|
Learning Systems
Rote learning, Learning from
example : Induction, Explanation Based Learning (EBL), Discovery, Clustering,
Analogy, Neural net and genetic learning, Reinforcement learning.
|
31-34
|
1-81
|
07
|
Expert Systems
Knowledge acquisition, Knowledge
base, Working memory, Inference engine,
Expert system shells, Explanation, Application of expert systems.
|
35-36
|
1-38
|
08
|
Fundamentals of Neural Networks
Research history, Model of
artificial neuron, Neural networks architectures, Learning methods in neural
networks, Single-layer neural network system,
Applications of neural networks.
|
37-38
|
1-38
|
09
|
Fundamentals of Genetic
Algorithms
Search optimization algorithm,
Evolutionary algorithm, Encoding, Operators of genetic algorithm, Basic
genetic algorithm.
|
39-40
|
1-42
|
10
|
Natural Language Processing
Introduction, Syntactic processing
, Semantic and Pragmatic analysis.
|
41
|
1-27
|
11
|
Common Sense
Introduction, Formalization of
common sense reasoning, Physical world, Common sense ontologies, Memory organization.
|
42
|
1-26
|
