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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
"Introduction_ to_ patent pending_ CAMBO a multi-Expert System "