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 Artificial Intelligence (AI) deals with how to build intelligent systems. In this course, we examine some of the fundamental concepts in AI:
-  * Introduction to AI
+  * Introduction to AI - (R&N) Chapter 1
-  * Intelligent Agents
+  * Intelligent Agents - (R&N) Chapter 2
-  * Logical Representations, First-Order Logic Syntax and Semantics
+  * Logical Representations, First-Order Logic Syntax and Semantics - (R&N) Chapter 8
-  * Reasoning, Inference in First-Order Logic
+  * Reasoning, Inference in First-Order Logic - (R&N) Chapter 9
-  * Uninformed and Heuristic (Informed) Search
+  * Uninformed and Heuristic (Informed) Search - (R&N) Chapter 3
-  * Game/Adversarial Search
+  * Game/Adversarial Search - (R&N) Chapter 5
-  * Constraint Satisfaction and Backtracking Search
+  * Constraint Satisfaction and Backtracking Search - (R&N) Chapter 6
-  * Uncertain Reasoning
+  * Uncertain Reasoning - (R&N) Chapter 13 & 14
-  * Logic Programming in Prolog
+  * Logic Programming in Prolog - (C&M) Chapter 1, 2, 3, 4, 5, 6, 7, 9, 10
   * Functional Programming and Lisp (Briefly)
@@ Line 29: / Line 29: @@
 You will require the following textbooks for this course:
-  * (R&N): Russell, S.J. and Norvig, P., Artificial Intelligence: A Modern Approach, 3rd edition Prentice Hall, 2010.
+  * (R&N): Russell, S.J. and Norvig, P., //Artificial Intelligence: A Modern Approach//, 3rd edition Prentice Hall, 2010.
-  * (C&M): Clocksin, W.F. and Mellish, C.S., Programming in Prolog, (5th edition), Springer Verlag, New York, 2004.
+  * (C&M): Clocksin, W.F. and Mellish, C.S., //Programming in Prolog//, (5th edition), Springer Verlag, New York, 2004.