books.txt

专家系统开发工具CLIPS安装程序.很好的软件.

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From: [e-mail] (Xindong Wu)
Subject: Re: [Q] AI Textbooks
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Followup-To: aus.ai, aus.computers
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Organization: Dept Computer Science, James Cook University, Townsville
Date: Fri, 27 Aug 93 23:56:58 GMT
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I wrote on Monday, 9 Aug 93:

> We are going to lecture a Fundamentals of AI course next year for 3rd
> year undergraduates. The synopsis has been designed (actually
> redesigned - this course has been taught here for several years
> already) to cover the following parts:
> 
>    1. Introduction to AI (2 lectures)
>    2. Logic and AI Programming (10 lectures)
>    3. Fundamental Techniques (21 lectures)
>    4. AI Applications (6 lectures)
> 
> What we try to do is to give a wide exposition of the goals and
> fundamental techniques of AI and a basic flavour of the AI research
> methodology in this course.  After this course, we also have a
> Selected Topics in AI course to explore further some research based
> topics.
> 
> One problem we currently have is to find a textbook which suits our
> synopsis above. We already have in hand Rich and Knight's Artificial
> Intelligence and Charniak and McDermott's Introduction to AI. Do you
> have other books to suggest or any experience/comments about the 2
> books mentioned to share with us?
> 
> Thanx in advance.

According to the replies I have received so far, the following books
seem to be among the most popular in many institutions:

    [C&M 85]: Eugene Charniak and Drew McDermott, Introduction to
      Artificial Intelligence, Addison-Wesley Publishing Company, Inc.,
      1985.

    [L&S 93]: George Luger and William Stubblefield, Artificial
      Intelligence: Structures and Strategies for Complex Problem
      Solving, 2nd Edition, The Benjamin/Cummings Publishing Company,
      Inc., 1993.

    [R&K 91]: Elaine Rich and Kevin Knight, Artificial Intelligence,
      2nd Edition, McGraw-Hill, Inc., 1991.

Given our list of topics above, we have decided to use [L&S 93]. This
book, recommended by [e-mail] (Venu Dasigi),
[e-mail] (Daniel Suthers) and [e-mail] (Chris
Malcolm) (Chris Malcolm suggested the first edition of the book),
introduces both Prolog and Lisp and covers almost everything we think
it should. [C&M 85] only covers Lisp while [R&K 91] includes neither.
When using [R&K 91] or [C&M 85] as a text book, we would be forced to
supply more teaching material. Also, [L&S 93] is well written.

I have recently written up a note about designing a reasonable AI
curriculum. Its abstract follows. If you are interested to read the
note, I can send you a copy for your comments.

    Developing an AI Curriculum for Computer Science Majors
    -------------------------------------------------------

Artificial intelligence (AI) is a subject concerned with the problem
of how to make machines perform such tasks, like vision, planning and
diagnosis, that usually need human intelligence and are generally
difficult to be carried out with conventional computer science
technology. AI problems are normally NP-hard by nature. Different from
conventional numerical computations, AI research has concentrated on
the development of symbolic and heuristic methods to solve complex
problems efficiently. Also, since the 1980's, AI has found wide
realistic application in those areas where symbolic and heuristic
computations are necessary. For example, expert systems have produced
startling economic impact. Therefore, like data base technology and
software engineering, AI has nowadays become an indispensable and very
strong part of computer science and has seen a growing presence in
lecture syllabuses as well as sustained research over recent years.
However, due to a lack of a recognised synopsis, there are still
remarkable differences in the AI curriculums and text books between
different institutions. Some of them are clearly inadequate.  This
paper discusses the contents and structure of a reasonable AI
curriculum for computer science majors. In particular, the author
argues that expert systems and machine learning should be emphasised
in the curriculum.

--
Dr Xindong Wu, Lecturer
Department of Computer Science          Telephone: [phone]
James Cook University                   Fax: [phone]
Townsville, Australia Qld 4811          Email: [e-mail]