Browse Prior Art Database

Case-based Reasoning System for an Executive Briefing Book

IP.com Disclosure Number: IPCOM000121563D
Original Publication Date: 1991-Sep-01
Included in the Prior Art Database: 2005-Apr-03
Document File: 2 page(s) / 77K

Publishing Venue

IBM

Related People

Miller, ME: AUTHOR [+2]

Abstract

This article describes an automated approach to the preparation of an Executive Briefing Book. This software system can be used by a business executive to quickly scan, gather and associate information for any given situation. Executives frequently find themselves in situations in which they are given only a moment's notice that they must meet with business partners or customers and make informed decisions. An Executive Briefing Book can be the key to success in these situations. This book should contain all the information that is critical to negotiations, presentations or customer relations. Unfortunately, the chore of sifting through large amounts of information from diverse sources can be time consuming and inefficient.

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Case-based Reasoning System for an Executive Briefing Book

      This article describes an automated approach to the
preparation of an Executive Briefing Book.  This software system can
be used by a business executive to quickly scan, gather and associate
information for any given situation. Executives frequently find
themselves in situations in which they are given only a moment's
notice that they must meet with business partners or customers and
make informed decisions.  An Executive Briefing Book can be the key
to success in these situations.  This book should contain all the
information that is critical to negotiations, presentations or
customer relations.  Unfortunately, the chore of sifting through
large amounts of information from diverse sources can be time
consuming and inefficient.  In the competitive world of business, the
executive can not afford to miss a single piece of vital information.

      The briefing book problem is one of a class of problems that
can be solved using an artificial intelligence technique called
"case- based reasoning".  In this technique, a knowledge base is
collected which describes a variety of problem situations (cases)
along with the approach used to solve each problem successfully.
Information is abstracted from actual cases that were experienced
previously and is used to create the database (knowledge base) of
profiles.

      Case-based reasoning systems have been found to provide good
solutions when the problem domain displays the following
characteristics:
      - Information is found in many sources.
      - Relationships between the pieces of information are not well
established or understood.
      - Relationships are not exact matches in the sense of database
queries.
      - Relationships can not be fully described initially.
      - The amount of information is very lar...