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Features
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| Building Intelligent Business Applications with Semantic Nets and Business
Rules Earl Cox advocates the use of semantics networks and business
models to provide a robust and extensive mechanism for creationg and using
intelligent, internet-based applications in eCommerce and eBusiness. |
| Prolog - The Knowledge Keeper: Architecture for Embedded Intelligent
Components Dennis Merritt examines how adding Prolog, as a separate
component, simplifies knowledge mapping - making it intuitive for the domain
expert. |
| Fast Genetic Programming: Machine Code Evolution Frank D. Francone
introduces Genetic Programming and techniques for implementing computerized
machine learning that accelerates program evolution dramatically. |
| AI@Work Real-Time Expert Systems: Intelligent Software Development
and Development Environment; Web Based Expert System Handles Technical Support:
Prolog Assists the Barcode Industry. |
| Weather Forecast for 2100: Hot and Stormy - Modeling Global Warming
Colin Price examines one of the largest and most complex modeling and
simulation challenges. |
| Alternative to Neural Nets: Multivariate Adaptive Regression Splines
(MARS) Dan Steinberg discusses a serious candidate for fully automated
non-linear regression that can be used to increase yields in semiconductor
manufacturing, discover new drugs, predict insurance losses, and forecast
weather. |
| Kasparov Versus Deep Blue: The Showdown Between the Human and the Computer
Daniel A. Blum explores this chess competition and the lack of true
Artificial Intelligence behind it. |
| Regulars |
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| Editorial |
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| Intelligence Files - Full Circle - the Success of AI
in the Real World |
by David Blanchard |
| AI and the Net - Tools for Building Intelligent Web
Sites - Overview of Expert System and Other Intelligent Applications |
by Mary Kroening |
| The Book Zone - Smart Card Handbook and Applying
Case-based Reasoning |
by Will Dwinnell |
| Product Updates -------------------------------> |
21 late breaking product announcements from
around the world in the fields of: |
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Business Forecasting |
Business Rules |
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Data Mining |
Decision Support |
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Genetic Algorithms |
Intelligent Agents |
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Intelligent Tools |
Intelligent Portals |
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Internet and Web |
Languages |
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Modeling and Simulation |
Natural Language Processing |
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Object Oriented Development |
Voice and Speech Recognition |
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Announcements |
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| Product Service Guide - Provides access to information
on an entire category of products |
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| PC AI Blackboard - AI advertisers bulletin board |
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Editorial:
Intelligent Applications - Their Time Has Come
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Technology is fundamental to the success of today's business.
Companies now realize they must focus on managing their business information
as a crucial competitive asset. They must efficiently collect, organize
and exploit this knowledge - while selectively sharing it across the enterprise.
Applying this knowledge quickly and cost-effectively, to achieve their business
goals, is what differentiates successful companies from their competitors.
In particular, it is the correlation and analysis of this infomration using
applications based on intelligent technologies such as rule-based systems,
neural networks, and modeling and simulation that improves performance and
helps forecast the corporate future. |
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As PC AI begines its 15th year, we examine some interesting
yet very successful applications of this technology. Starting us off, Earl
Cox continues his review at the use of semantic networks, combining them
with business models to provide intelligent eBusiness applications. We wanted
to see how the AI languages were doing - starting in this issue with Prolog.
Dennis Merritt explores the fundamental advantages for using Prolog for
software development as well as for adding intelligent components to applications
- all maintainable by the domain expert. One of our AI@Work stories shows
Prolog at work as a web based technical support system. Prolog shows up
again in Mary Kroening's AI and the Net column. |
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Taking a look at other complex applications, we feature two
modeling and simulation articles. First, Colin Price explains the use of
modeling and simulation to forecast the effects of global warming well into
the future - 50 to 100 years. Next, Daniel Blum takes a retrospective look
at the big chess competition between Kasparov and Deep Blue and this computer's
real lack of true intelligence. These articles illustrate the value of simulation
and modeling as a means of forecasting complicated situations - not all
that different from what we see in the complex business world. |
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To round out this issue, Frank Francone examines genetic programming
and machine learning while Dan Steinberg looks at MARS as an alternative
to neural networks for complex numerical analysis. |
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Dave Blanchard wraps up his series of AI and the News columns
with an overview of what has hapened to the AI companies and parts of the
AI industry that seemed to have faded out a few years ago. Most of them,
we are glad to see, are now back, bigger, and stronger than ever. We have
enjoyed working with Dave and wish him the best in his future endeavors. |
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Finally, we would like to thank all of our friends, our authors,
our subscribers, and our advertisers who have made it possible for us to
reach our 15th Anniversary. |
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Terry Hengl |
