Documents
Resources
Learning Center
Upload
Plans & pricing Sign in
Sign Out

Introduction_ to_ patent pending_ CAMBO a multi-Expert System

VIEWS: 6 PAGES: 5

									1|Page


Introduction, to, patent pending,           Knowledge, a unique definition for a
CAMBO a multi-Expert System                 unit or element of knowledge, an
Generator and a new paradigm,               advanced structure for a Spatial
knowledge normalization.
                                            Relational Knowledge Base and a 5th
"Any entity that can be described in        generation programming language to
"English Grammatical Sentences" can         support a Natural Language
be extracted and software (Rule             Processing interface.
processing) managed through a                The value in this invention is four fold.
Normalized Knowledge Base."
Nicholas Zendelbach.

Unlike Single EXPERT system
generators (AION, Eclipse, XpertRule,
RuleBook..) CAMBO‟s kernel logic;
„Knowledge Normalization
Methodology‟, is based upon a                   Employee Communication.
methodology that closely observes the
rules of medical science in identifying,    •· First, the ability to: Identify,
applying and developing the science of      Capture, Codify and Relate
machine intelligence.                       'knowledge', in a Natural Language
                                            opens the door for one person to
Abstract of the Disclosure.                 access the combined talents, skills and
The invention's name is CAMBO an            experiential knowledge of many
acronym for Computer Aided                  human experts.
Management By Objective. The title is       •· Second, planning: project
a "multi-EXPERT System Generator",          management, scheduling resources,
                                            organizing resources and directing
and the vision an “artificial intelligent
                                            resources will be predicated upon
bridge” between technology and the          knowledge relationships in concert
ability to automate the instruments of      with data relationships. The kernel
the MBO methodology, namely:                logic here is simply that when a
Charters, Organization Charts,              computer executes knowledge, in the
Operational Plans, Project                  form of rule sets, the results are
                                            presented as data, which in turn gives
Management, Performance Planning
                                            direction to those rule sets requiring
and others all containing the               change.
knowledge, expressed in 'English            •· Third, the development of systems
Grammatical Sentences', upon which          based upon the new foundation of
an enterprise conducts business. It         'Relational Knowledge' in a Natural
would require the design of a unique        Language interface will reach beyond
combination of advanced methodology         the business enterprise arena to all
                                            forms of human endeavor. An
and technology capabilities built upon
                                            example is medical research, for which
and work in concert with current state      growth and direction is guided by the
of the art, 'Data Normalized',              results produced from experiments.
Relational Data Base structure. The         The ability to: Identify, Capture,
“AI Bridge” would include an advanced       Codify and relate these results will
methodology for Normalizing                 exponentially increase the ability to


Sunday, April 11, 2010
2|Page


discover, translate and apply                into a relational knowledge
treatment modalities.                        base/warehouse.

   In the field of engineering (IEEE)              The four Prime domains of
the knowledge of senior engineers can                 knowledge are:
be passed onto junior engineers, as it
would apply with all fields of human         1._Accept (Knowledge
endeavor, knowledge need not be              Determination): Here Subject Matter
forgotten or lost.                           Experts (SMEs) teach the multi-expert
Fourth, the installation of knowledge        system the knowledge (memory) they
based systems in differing human             have learned from their individual
endeavors will have the effect of            subjects (or discipline). Current
unifying human experiential                  memory theories often state that the
knowledge and providing the ability to       act of remembering turns a stored
cross reference a more cognitive and         memory into something malleable that
meaningful view of the subject matter.       must be re-encoded. In addition, re-
                                             encoding occurs during the experience
Heuristic Life Cycle of a multi-Expert       in which a person places their
System..                                     understanding of the world around
 The heuristic life cycle is divided         them into practice. The actions
under the four prime domains of              required to perform an enterprise
knowledge as governed by the CAMBO           decision making activity, define and
process management system, BCL               relate the knowledge elements
(Business Conduct Logic), A derivative       (English grammatical sentences) of
of CAMBOs kernel logic knowledge             the decision making activity rule set.
domains: Philosophy, Science,
Engineering and Art.                         2. _Plan (Knowledge Engineering):
                                             Knowledge engineers construct
   The Four Prime Domains of                 models of enterprise language
Knowledge, as described in the               relationships to normalize knowledge
methodology for multi-expert system          at the enterprises operational level.
generation, are:
Accept, Plan, Develop and Install.           3. _Develop (Knowledge
                                             Codification): Knowledge engineers,
 Each prime domain represents a              using the 5th generation programming
unique perspective for identifying and       language LIPS1, codify normalized
classifying knowledge. The design and        knowledge into a relational knowledge
development of the methodology               base/warehouse.
divides human activity in business,
science, engineering, et al, into four       4. _Install (Knowledge Application):
action categories. People accept work        End users of the expert system
to do, then plan how to best perform         investigate knowledge through an
the work, develop or perform the work        interactive access system. The final
and then install the results or hand         rule validation process occurs when
them off to another person‟s accept          the user applies stored knowledge in a
activity. This division of knowledge,        real time activity. Here the user
the beginning of performing                  examines the relevance of the stored
knowledge normalization, examines its        knowledge against current conditions
relational characteristics and codifies it   and determines if changes are



Sunday, April 11, 2010
3|Page


required to update the stored              operations utilize the appropriate
knowledge.                                 English language for a particular
                                           discipline of the enterprise.
 One can view the Heuristic Life Cycle
as an engine, with its component                For instance, Stanford University
parts working in synergy to                Hospital uses a different language
determine, engineer, codify and apply      than Bank of America, to describe the
knowledge as a teaching and learning       manner in which they conduct
system. It is possible to formalize the    business. The differences are
methodology to perform the                 grammatical in terms of differentiating
normalization of knowledge under the       a transaction profile. Whether the
control of the methodology for             enterprise is processing a transaction
Business Conduct Logic.                    to perform open-heart surgery or
                                           processing a credit card exchange of
    Knowledge Normalization =              funds, the common denominator is
   Natural Language Processing             language. Each enterprise expresses
                                           the manner in which they conduct
The following four prime domains
                                           business according to the language
contain the processes for normalizing
                                           utilized in their industry or discipline.
knowledge. To understand the process
                                           While this may appear as a chasm of
of normalizing knowledge, remember
                                           knowledge association, the
that the methodology defines a single
                                           methodology accommodates the
knowledge element as a single English
                                           relationships between industries and
grammatical sentence.
                                           disciplines.
The purpose of normalization is to         Whenever the process identifies a
arrange millions of English                dependency between any enterprises
grammatical sentences into                 related activities, the knowledge
conversational English. The                engineering storyboard models
methodology produces storyboards           identify a language relationship. This
that in turn give a breakdown              ability builds a bridge between
structure to the language used to          differing enterprise related disciplines
explain how an enterprise operates.        and activities. The process examines
This language breakdown structure          the language thread of commonality in
produces titles for rule sets containing   the knowledge engineering
up to a system limitation of 99 English    storyboards that connect differing
grammatical sentences. Each rule set       enterprise related activities. Language
is associated with other rule sets pre-    relationships are dynamic and the
determined to represent the                methodology for real time project
enterprise operational expectations.       management updates to the
                                           enterprise operation, because new
The process of knowledge                   knowledge on how an activity is to be
engineering produces storyboards that      handled may influence project
graphically depict the enterprise          management planning.
operational procedures, and define the
language used to define how                 Human Experts.
employees described their roles and           The knowledge normalization
goals and contribution to the              process takes place simultaneously
enterprise. Different enterprise           with the knowledge acquisition
                                           process. The knowledge engineer uses


Sunday, April 11, 2010
4|Page


the information from the knowledge         Knowledge Engineering Titles and
acquisition sessions to develop a good            Responsibilities
model (storyboard) of the expertise        * Business Alignment: The knowledge
rules that the SME uses to solve
                                           manager deals with the enterprise‟s
problems and manage their enterprise
                                           knowledge requirements and the
responsibilities.
                                           direction and detail of corporate
     The most important branch of
                                           knowledge assimilation into a multi-
knowledge acquisition is knowledge
                                           expert system.
elicitation. What the expert knows,
and how they use their knowledge is a      *Path Finder: Manages enterprise
crucial component, however, obtaining      modeling to determine rule set titles.
knowledge from a human expert is           *Designer: Assimilates web site and
difficult. Expert systems have not seen    K/D base management.
more widespread use due to the
knowledge elicitation bottleneck.          *Bridge Builder: Integrates all
Expert knowledge includes domain-          software, network and hardware
related facts and principles; modes of     configuration.
reasoning; reasoning strategies;
                                               Each knowledge engineering team
explanations and justifications.
                                           member also interviews SMEs and
     The knowledge elicitation (and
                                           records the EGS that describe the
analysis) task involves finding at least
                                           rules for processing a particular:
one expert in the domain who:
                                           business, scientific, engineering,
*   Is willing to provide knowledge;       medical, government, or any other
*  Has the time to present                 knowledge source describing how the
knowledge;                                 organization conducts business.

*   Is capable of imparting knowledge.     Job Descriptions:

    The task requires repeated
                                           * The Business Alignment knowledge
interviews with the expert(s), plus        engineer and the Path Finder
task analysis, concept models, etc.        knowledge engineer identify and title a
    One major obstacle to knowledge        grouping of English Grammatical
elicitation: experts cannot easily         Sentences as a rule set.
describe all they know regarding their     * The Path Finder publishes the
domain expertise. They do not              knowledge domain profile for a new
necessarily have extensive insight into    knowledge rule set.
the methods they use to solve
problems. Their knowledge is
                                           * The Designer incorporates the new
                                           knowledge rule set into the enterprise
embedded within their mind (similar
                                           knowledge base/warehouse.
to a compiled computer program - fast
and efficient, but unreadable).            *The Bridge Builder designs and
    Knowledge engineering models of        coordinates integration of software
a storyboard function to satisfy the       and hardware components.
requirements of the “Business Conduct
Logic” (BCL) methodology and bridge        The process results in a continuing
the knowledge elicitation bottleneck.      flow of knowledge from human
                                           sources to a computer system.




Sunday, April 11, 2010
    5|Page


    The CAMBO Multi-EXPERT System Lab              4. A knowledge based computer
    is viewed as an engine that when               system can learn as well as teach.
    inserted into an enterprise operates
    on a continuing basis to record and        Magazine Article:
    help manage an organization's rules        http://www.pcai.com/web/6t6y6t/6t6y6y.7.02/
                                                     TOC.htm
    by which business is conducted.

    The development of systems based
    upon the new foundation of 'Relational
    Knowledge' in a Natural Language
    interface will reach beyond the
    business enterprise arena to all forms
    of human endeavor.

    „Knowledge Engineering Storyboards
    Map Knowledge Pathing.’

    CAMBO Publications
•The IDC Story: The First Successful AI
    Based Multi-Expert System in Arizona.
•Examine a multi-expert system generator,
    Rose Navigator, and an Enterprise
    Resource Plan to help manage the
    need for human engineers against the
    dynamics of customer expectations
    and orders.

    www.pcai.com/web/6a72/522.11.42/TOC.
    htm

•Abstract
•This article introduces a new paradigm
    to the discipline of engineering human
    knowledge, one that we divide into
    four tenets of knowledge
    representation:
    1. The four prime domains of
    knowledge.
    2. All human knowledge has, at its
    root, a language to communicate the
    knowledge.
    3. A single language sentence contains
    the smallest unit of knowledge, and it
    is possible to normalize and codify this
    unit of knowledge into a multi-expert
    computer system (Language
    representation).




    Sunday, April 11, 2010

								
To top