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Showing posts from June, 2023

Need for Logical Schema

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In order to effectively exchange information, a logical schema is necessary .  Why?  Because, without that logical schema you simply cannot prove to yourself or others using the information that the information represented is not "garbage".  Without a logical schema you simply cannot prove to yourself that you have represented the information correctly.  Further, without a logical schema anyone trying to make use of that represented information cannot understand how to do so and cannot verify for themselves that the information represented is not garbage. That is the fundamental purpose of the Seattle Method which I have summarized in the document Purpose of Seattle Method .  In that document I provide 9 verification categories.  That last "Other" is a catch all where additional verification can be added.  I have combined two math related verification categories that I had separated out because of an XBRL related idiosyncrasy.  These are the seven MINIMUM verificat

Simple Explanation of Logical Systems and Logical Theory

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Logic is a formal system that defines the rules of correct reasoning.  A system is a group of interacting or interrelated elements that act according to a set of rules to form a unified whole.  A system can be natural, such as the solar system, or designed by humans. A logical system , which has logical patterns of behavior, can be explained by a logical theory.   A logical theory is an abstract conceptualization  of specific important details of some area of knowledge. The logical theory provides a way of thinking about an area of knowledge by means of deductive reasoning to derive logical consequences of the logical theory. (a.k.a. formal system ) A logical theory enables a community of stakeholders trying to achieve a specific goal or objective or a range of goals/objectives to agree on important logical statements used for capturing meaning or representing a shared understanding of and knowledge in some area of knowledge. A logical theory forms a logical conceptualization a

The Great Transmutation of Financial Accounting, Reporting, Auditing, and Analysis

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My document The Great Transmutation explains the "great upheaval" and "great progression" that we are living through as the world transitions from where we were to what is being referred to as the Fourth Industrial Revolution .  No one knows exactly where we will end up, but there are many clues if you are paying attention. Part of this transitions will be humans applying artificial intelligence.  It is the combination of artificial intelligence (AI) plus human intelligence (HI) that will cause this transformation ( AI + HI = Transformation ).  Humans need to understand these new tools that they have at their disposal. The transition is well underway; the status quo is doomed .  Humans need to understand these new tools, their real capabilities, and how to pick the right tool for the job.  There are different types of artificial intelligence .  There tends to be three different types of artificial intelligence that offer different "baskets" of capabilitie

All About Knowledge

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Edges of Knowledge is an excellent and comprehensive article that helps one put a lot of different things into perspective. The article has a lot of really nice graphics like the one below: The article has a lot of "stuff".  I don't even know how to describe the article.  If you are trying to figure out how the information age might work, the article is worth wading through. It is encouraging that there are people thinking about all this deeply.  Another similar resource is ADEPT LION . Additional Information : Introducing the Knowledge Graph ("Things, not Strings.") Deductive vs Inductive vs Abductive Reasoning (Short Video) Deductive Reasoning (Wikipedia) Inductive Reasoning (Wikipedia) Abductive Reasoning (Wikipedia) Patterns Language Knowledge Graph System Knowledge Assembly Global Standard Knowledge Assembly Reasoning On Semantics Knowledge Graphs: Dream of a Knowledge Network (SAP) Defining in vocabularies, taxonomies, ontologies, concept graphs, da