Category Archives: Knowledge Representation

Semantics, Ontology and Explanation

Posted on April 26, 2023 by decisionmanagementcommunity

While ChatGPT dominates social forums, scientists quietly continue to work on real understanding of our surrounding using 100-years-old concepts of Logic, Semantics, and more recently Ontologies. Computer science people build symbolic models to represent their assumptions about a certain domain … Continue reading →

Posted in Artificial Intelligence, Knowledge Representation, Logic and AI, Semantic Web | Leave a comment

DecisionCAMP Monthly Session on Jan 11, 2023

Posted on January 2, 2023 by decisionmanagementcommunity

The first 2023 DecisionCAMP Monthly Session “Why is symbolic AI being overshadowed by statistical AI?” presented by Bas van der Raadt will be held on Jan 11 at 12:00 pm EST (New York Time). Register for free here.

Posted in Artificial Intelligence, Decision Intelligence, Decision Modeling, DecisionCAMP, Human-Machine Interaction, Knowledge Representation, Natural Language Processing, Reasoning, Semantic Web | Leave a comment

Can’t We Do Better Than This?

Posted on December 17, 2022 by decisionmanagementcommunity

BRCommunity.com just published a story written by Bas van der Raadt: “Why did I almost end my 15+ year career in Enterprise architecture? Because I felt like large organizations are just doomed — destined to stay stuck in the complexities they … Continue reading →

Posted in Human-Machine Interaction, Knowledge Representation | Leave a comment

The Prolog Day Symposium on Nov 10, 2022

Posted on October 21, 2022 by decisionmanagementcommunity

This Prolog-Day Symposium will present the highlights of the Year of Prolog, celebrating the 50th anniversary of the birth of Prolog. The Symposium will include the award of the inaugural edition of the Alain Colmerauer Prize for recent practical accomplishments that highlight the benefits of … Continue reading →

Posted in Knowledge Representation, Languages, Prolog | Leave a comment

Most knowledge is not verbal

Posted on August 24, 2022 by decisionmanagementcommunity
Posted in Knowledge Representation | Leave a comment

2022 is the Year of Prolog

Posted on June 14, 2022 by decisionmanagementcommunity

In the summer of 1972, Alain Colmerauer and his team in Marseille developed and implemented the first version of the logic programming language Prolog. Together with Robert Kowalski and his colleagues in Edinburgh, this work laid the practical and theoretical … Continue reading →

Posted in Constraint Programming, Events, Knowledge Representation, Languages, Logic and AI | Leave a comment

Keynotes at DecisionCAMP and Declarative AI

Posted on May 13, 2022 by decisionmanagementcommunity
Posted in DecisionCAMP, Digital Decisioning, Events, Knowledge Representation, Logic and AI | Leave a comment

AI in Decision Domain 

Posted on April 30, 2022 by decisionmanagementcommunity

An interesting discussion has started by this LinkedIn post: Typically, we analyze data and models from the operational domain. However, no amount of crunching on this data will reveal opportunities for decision advantage – because there is no information about … Continue reading →

Posted in Artificial Intelligence, Decision Making, Decision Modeling, Human-Machine Interaction, Insurance Industry, Knowledge Representation | Leave a comment

Using Episodic Memories to Predict Upcoming Events

Posted on April 12, 2022 by decisionmanagementcommunity

This paper addresses an important problem in control of episodic memory to be used to predict upcoming states in an environment where past situations sometimes reoccur. One of the key benefits is reducing the risk of retrieving irrelevant memories. Read more

Posted in Decision Making, Decision Modeling, Event-driven, Knowledge Representation, Machine Learning | Leave a comment

Again about AI understanding

Posted on January 17, 2022 by decisionmanagementcommunity

On Dec-2021 Melanie Mitchell published “What Does It Mean for AI to Understand“: “Remember IBM’s Watson, the AI Jeopardy! champion? A 2010 promotion proclaimed, “Watson understands natural language with all its ambiguity and complexity.” However, as we saw when Watson subsequently failed spectacularly in … Continue reading →

Posted in Artificial Intelligence, Human-Machine Interaction, Knowledge Representation, Natural Language Processing | Leave a comment