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Volume 13, Issue 4
Jul/Aug 1999
Theme: Knowledge Based Systems

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Managed Business Rules:  A Repository Based Approach Henry Seiler explores rules as a concept, practice, methodology, and as a requirements technique to optimize the software development process.
Successful Knowledge Management Systems:  An Expert Systems Approach Srinivas Krovvidy describes the successful medium-to-large-size knowledge management project based on past experience.
AI@Work Intelligent Tutoring System on the Internet:  A Case-Based Approach; Modeling Marketing Response for Communications Clients;  Wireless Gets the Message From Object Oriented Technology.
IVAN:  An Expert System for Pain Control and Symptom Relief in Advanced Cancer Jonathan Thompson discusses a case-based knowledge system that can improve the quality of life by helping to control pain.
Fuzzy Logic in Knowledge Engineering:  Effectively Articulating Rules Daniel J. Fonseca uses fuzzy logic to overcome difficulties encountered during the knowledge acquisition process.
What Does Your Company Really Do?  Data Fusion in the Era of Knowledge Management Earl Cox points out how machine learning technologies provide the core understanding of how a business process actually works.
Striving for Imprecision:  Fuzzy Knowledge Bases for Business Process Modeling Earl Cox describes Fuzzy Knowledge Bases, combining both the semantics of information with the imprecision found in nearly all real-world problems.

Secret Agent Man - Surrounded and Outnumbered - As Things Start to Think by Don Barker
Intelligence Files - On-line Trading:  The New National Pastime by David Blanchard
AI and the Net - Agents in Space - Reporting Via the Web by Mary Kroening
The Book Zone - Feature Extraction, Construction and Selection and Statistical Analysis of Categorical Data by Will Dwinnell
Product Updates ----------------------------> 16 late breaking product announcements from around the world in the fields of:
  Announcements Business Rules
  Data Mining Intelligent Agents
  Knowledge Based Systems Rule-Based Systems
  Simulation and Modeling Tools
Product Service Guide - Provides access to information on an entire category of products    
PC AI Blackboard - AI advertisers bulletin board    

Advertiser List for 13.4
AAAI  Gensym  Soft Warehouse Inc
AI Developers Inc.  KnowledgeBroker Inc Sonalysts Inc
Amzi! Inc  Logic Programming Associates Ltd StatSoft 
AND Corporation  Megaputer Intelligence  System Dynamics International Inc 
Applied Logic Systems  Metus  The Haley Enterprise Inc
ATTAR Software USA  Morgan Kaufman Ward Systems Group Inc
BitStar International  Multilogic WizSoft Inc
BotSpot  NAU/CDI  
CHI Systems Inc  Neuron Data  
California Scientific Software PC AI   
DCI  Production Systems Technology  
DTSoftware  Prolog Development Center   
Emerald Intelligence  Salford Systems  
Frontier GlobalCenter  SHAI  


Firing up the search engine, access to 32,936 Knowledge Management sites was instantly available.  If you think about it, developing a process for knowledge management of just these sites would be a daunting task.  Can you imagine the effort to try and manage the basic knowledge we consider common sense?  Well one of the sites that came up on this search, www.cyc.com , (Cycorp, Inc.) founded by Doug Lenat (a past contributor to PC AI), is trying to do just that.  His goal is to build an immense multi-contextual knowledge base (Cyc), built upon a core of over 1,000,000 hand-entered assertions (or "rules") designed to capture a large portion of what we normally consider consensus knowledge about the world.  It does this by using an inference engine, a set of interface tools, and a number of special-purpose application modules running on Unix, Windows NT, and other platforms.  For example, Cyc understands that trees are usually outdoors, people stop buying things once they die, and containers of liquid should be carried rightside-up.  How do you use this information you might ask?  Let's look at an example with a database containing two tables.  The first table, containing personnel, consists of three fields:  the person's name, job title, and employer.  The employer table has two fields:  the employer's name and the state where the employer is located.
  Now let's use this information to determine who holds an advanced degree and lives in New England.  Notice that the tables don't say anythign about degrees people hold or where they live, and they don't mention New England.  But Cyc knows that doctors, lawyers, and professors hold advanced degrees, that people generally live near their place of work, and that New England is comprised of six specific states, so it converts this query into one for doctors, lawyers, and professors whose employer is located in one of those six sates.  For another example, Cyc can find the match between a user's query for "pictures of strong, adventurous people" and an image whose caption reads simply "a man climbing a cliff."
  Today's computer databases provide immediate access to the data that has been placed in them but the knowledge that resides there is still pretty much untouched.  This issue focuses on the AI technologies that are assisting in this knowledge retrieval.  Henry Seiler leads off with a look at business rules, an efficient approach to software development in "Managed Business Rules."  In "Successful Knowledge Management Systems," Srinivas Krovvidy uses a wealth of expert system experience to outline the development of a successful medium-to-large size knowledge management system.  Daniel Fonseca and Earl Cox both look at the use of fuzzy logic in knowledge engineering while examining knowledge acquisition and business process modeling.
  To round out this issue, we have articles on an expert system developed for pain control, an intelligent tutoring system on the Internet and case-based modeling marketing.  We also have our creative regulars showing up with their usual feast of great articles including on-line stock trading, intelligent agents in space, data mining, and more.
  Terry Hengl 

Volume 13--------------------> Issue 1 (Jan/Feb 1998)   Volume 15 Index (2001)
  Issue 2 (Mar/Apr 1998)   Volume 14 Index (2000)
Issue 3 (May/Jun 1998)   Volume 13 Index (1999)
Issue 4 (Jul/Aug 1998)   Volume 12 Index (1998)
Issue 5 (Sep/Oct 1998)   Volume 11 Index (1997)
Issue 6 (Nov/Dec 1998)   Volume 10 Index (1996)
      Volume 9 Index (1995)
      Volume 8 Index (1994)

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