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start [2013/01/07 16:00] bitastart [2013/01/18 16:18] (current) bita
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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: 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)   * Functional Programming and Lisp (Briefly)
  
start.1357574403.txt.gz · Last modified: 2013/01/07 16:00 by bita

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