From: smach02@hotmail.com   
      
   Hello guys.  I am new to AI and I'm researching these 2 questions, for my   
   own use, it's not an assignment, that is why I need your help.  Since this   
   will not be graded by anyone, I just want to make sure that I am   
   understanding the problems correctly.   
      
   1. What role does domain-specific knowledge play in AI ? must   
   domain-specific knowledge be used for an approach to be considered an AI   
   problem? If domain specific knowledge is used, list   
   3 major AI techniques and indicate where in each technique the domain   
   knowledge is represented in and in what form.   
      
   2. an important aspect of some AI domains is the use of knowledge from human   
   domain experts. discuss 2 domains in which such knowledge is used and   
   identify ways in which knowledge is acquired and used in both domains.   
      
   for problem #1, from what I've read it seems that the domain-specific   
   knowledge must be used in order for the approach to be considered an AI   
   problem.  I cannot think of any AI approach that does not use   
   domain-specific knowledge.  Do you ?   
   Now if that's the case, what 3 techniques use domain-specific knowledge.   
   Would an example of that be decision trees, expert systems, neural nets,   
   genetic algorithms, ??and possibly something else ?  and as far as   
   representation goes, they are either represented as propositional, predicate   
   logic, semantic nets and frames.  Is that correct ? I am not sure about this   
   one .. please let me know about this one   
      
   for problem #2, would those be expert systems, decision trees, neural nets ?   
   are those examples of such, and are there any others ?   
      
   I really appreciate this.  I want to make sure I understand the material   
   correctly.  Thank You   
      
   Sonia   
      
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