Category Archives: Knowledge Representation

What Bertrand Russell would say today

Posted on December 5, 2025 by decisionmanagementcommunity

Martin Milani: “Bertrand Russell didn’t trust language to express truth. He built a new system—formal logic—to make thought precise. In Principia Mathematica, Russell didn’t try to say things clearly. He tried to prove them. Today’s AI skips that step. It … Continue reading →

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Why Ontology driven (LLM-free) AI systems are needed

Posted on October 11, 2025 by decisionmanagementcommunity

On 7 October 2025, Bas van der Raadt presented “Ontology and business rules in practice” at VU Amsterdam where he talked about:– Problems with code based systems– Why ontology driven AI systems are needed– What is an ontology?– How to … Continue reading →

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Focus on Learning Not On Knowledge

Posted on December 6, 2024 by decisionmanagementcommunity

Peter Voss lists “Focus on Knowledge, Not Learning” as one of The 7 Deadly Sins of AGI Design: “There’s a common misconception that knowledge is a good measure of intelligence. This is not so. An encyclopedia has a lot of knowledge but … Continue reading →

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Peter Voss: “AI has lost its way”

Posted on September 26, 2024 by decisionmanagementcommunity

A few days ago at DecisionCAMP-2024 Peter Voss presented “The Third Wave of AI: From rules, to statistics, to cognition” explaining why LLMs are not on the path towards Cognitive AI [AGI]. Today Peter published even a stronger article titled … Continue reading →

Posted in Artificial Intelligence, Decision Intelligence, Decision Making, Knowledge Representation, Reasoning | Leave a comment

Knowledge Representation and Reasoning

Posted on July 17, 2024 by decisionmanagementcommunity

Dan Selman wrote: “The key to Knowledge Representation and Reasoning is building your ontology. It doesn’t matter if you are reasoning using a Knowledge Graph, a rules engine or a relational database — you need to do the work of … Continue reading →

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Automatically-generated ontology?

Posted on July 16, 2024 by decisionmanagementcommunity

Ron Ross: “Automatically-generated ontology? In other words, can existing AI on its own assemble a meaningful, useful ontology from some corpus for a domain of knowledge that currently has no ontology? Based on our experiments and experience, I’d say no … Continue reading →

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Graph Types and Ontological-Driven Data Structures

Posted on June 30, 2024 by decisionmanagementcommunity

Joe Hoeller wrote about common misconceptions about graphs and AI: “Graphs are essential in various domains, ranging from computer science to bioinformatics. However, distinguishing between different types of graphs and understanding their unique properties and applications is crucial. This article … Continue reading →

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Text to Knowledge Graph

Posted on June 22, 2024 by decisionmanagementcommunity

Dan Selman published an article that describes how to convert natural language text to knowledge graphs. Dan extended Concerto Graph by adding a new method mergeTextToGraph which simplifies the conversion of a block of text to a Knowledge Graph ensuring that the structure of … Continue reading →

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Combining Symbolic and Generative AI

Posted on April 4, 2024 by decisionmanagementcommunity

From an expert working on cutting edge neuro symbolic AI solutions, integrating LLM and decision management systems to bring real AI value to the enterprises: “Enterprise should not consider Gen AI as the solution to implement their interactive, customer facing, conversation … Continue reading →

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LLMs and Attributed Provenance

Posted on March 17, 2024 by decisionmanagementcommunity

George Keller Hart: “Large language models are potentially our civilization’s self blinding. How? By undermining our 5,000+ year heritage of written language – specifically because LLMs substitute memetics for attribution, breaking the first rule of shared, collective knowledge. Our vast … Continue reading →

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