Monthly Archives: June 2024

Graph Types and Ontological-Driven Data Structures

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

Posted in Knowledge Representation, Semantic Web | Leave a comment

LLMs and Complex Business Problems

David Ferruchi’s new article “Large Language Models Created Demand for AI Capable of Complex Reasoning They Can’t Deliver Alone” explains why a more holistic approach to AI combined with different forms of reasoning is needed to help us make better … Continue reading

Posted in Decision Intelligence, LLM, Reasoning | Leave a comment

DecisionCAMP-2024 Program Announcement

DecisionCAMP is the major annual gathering of practitioners dedicated to Decision Intelligence technologies including Rule Engines, Machine Learning, Optimization, and Generative AI. The Org Committee has just announced a great Program for the 2024 event. Register for free and attend all … Continue reading

Posted in DecisionCAMP, Events | Leave a comment

How to Introduce Optimization

Prof. Warren B. Powell published a new book “A Modern Approach to Teaching an Introduction to Optimization“. He states: “Optimization should be the science of making the best decisions we can… The vast majority of optimization problems are used to make … Continue reading

Posted in Decision Making, Optimization | Leave a comment

Text to Knowledge Graph

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

Posted in Knowledge Representation, LLM | Leave a comment

Progress Towards the Holy Grail

In 1996 Prof. Gene Freuder wrote the paper “In Pursuit of the Holy Grail” proposed that Constraint Programming was well-positioned to pursue the Holy Grail of computer science: the user simply states the problem and the computer solves it. For … Continue reading

Posted in Artificial Intelligence, ChatGPT, Constraint Programming, Events, LLM | Leave a comment

Combining Constraint Solvers and LLMs

David Ferrucci: “Ever wondered how AI can tackle complex enterprise problems with precision and reliability? By combining constraint solvers and LLMs, we can turn natural language into actionable knowledge that drives intelligent applications. This approach ensures that our solutions are … Continue reading

Posted in Constraint Programming, LLM, Logic and AI | Leave a comment

Supply Chain => Decision Intelligence 

Niels van Hove: “Decision Intelligence is a natural evolution in Supply Chain planning & execution technology”

Posted in Decision Intelligence, Supply Chain | Leave a comment

Challenge June-2024 “Stable Marriage Problem”

This challenge deals with the famous stable marriage problem:  Given n men and n women, where each person has ranked all members of the opposite sex in order of preference, marry the men and women together such that there are no two people of opposite … Continue reading

Posted in Challenges, Decision Modeling | Leave a comment

Paul Haley takes AI models for a spin

On June 3 Paul Haley, a well-known expert in rule engines and natural language processing, posted “A language model is not enough“. Paul asked AI to help him to pass an exam to earn a private pilot certificate. Read Paul’s … Continue reading

Posted in LLM | Leave a comment