Category Archives: Algortithms

Maximizing Minimum Profit while Minimizing Maximum Regret

Posted on November 10, 2025 by decisionmanagementcommunity

Dr. Meinolf Sellman shared a decision problem that deals with planning crop growth without knowing the weather. His solution is based on the proprietary multi-objective optimization that helps to find a rational compromise between maximizing the minimum profit and minimizing … Continue reading →

Posted in Algortithms, Optimization, Uncertainty | Leave a comment

Decision-Dominant Logic

Posted on September 28, 2025 by decisionmanagementcommunity

Dr. Roger Moser: “We have entered the algorithmic age—an era where competitive advantage is defined less by the products you sell or the services you deliver, and more by the decisions your organization makes and how well it makes them. … Continue reading →

Posted in Algortithms, Decision Intelligence, Decision Making | Leave a comment

Decision Modeling and Fairness

Posted on July 8, 2024 by decisionmanagementcommunity

Could we achieve fairness in our automatic decision-making? This question was actively discussed in the presentation “How to make optimal decisions (that are unfair, biased and non-objective)” given by Dr. Guido Tack in May of 2024. While Guido used the … Continue reading →

Posted in Algortithms, Decision Intelligence, Decision Making, Fairness, Optimization | 1 Comment

Solving an Optimization Problem by Don Knuth

Posted on April 13, 2024 by decisionmanagementcommunity

In 1960, the famed computer scientist Don Knuth wrote a technical paper in which he considered an integer programming model for minimizing memory access latency of an IBM 650. It included 51 variables and 43 constraints. Knuth ran Gomory’s algorithm on … Continue reading →

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Challenge Apr-2024: Lookup Tables in Decision Models

Posted on April 5, 2024 by decisionmanagementcommunity

Business decision models frequently use lookup tables that may contain thousands of data rows. There are at least two issues to be addressed when representing lookup tables: 1) users need to be able to modify the table data without modifications … Continue reading →

Posted in Algortithms, Case Studies, Challenges, Decision Modeling | Leave a comment

Large Language Models as Optimizers

Posted on September 15, 2023 by decisionmanagementcommunity

The article with this title was published on Sep 7, 2023. “In this work, we propose Optimization by PROmpting (OPRO), a simple and effective approach to leverage large language models (LLMs) as optimizers, where the optimization task is described in … Continue reading →

Posted in Algortithms, LLM, Optimization | Leave a comment

Big Decision Tables

Posted on August 15, 2023 by decisionmanagementcommunity

Decision tables are the most popular decision modeling constructs but they have a tendency to grow with time or to use huge arrays of data from the very beginning. When decision tables have tens and even hundreds of thousands of … Continue reading →

Posted in Algortithms, Database, Decision Modeling, Efficiency | Leave a comment

Algorithms for Decision Making

Posted on August 11, 2022 by decisionmanagementcommunity

MIT press published an excellent book “Algorithms for decision making” with free download that provides a broad introduction to algorithms for decision making under uncertainty. The book takes an agent based approach when physical entities like humans or robots act … Continue reading →

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Rete: 40 years!

Posted on July 1, 2022 by decisionmanagementcommunity

This year will be 40 years since Charles Forgy published his famous paper “Rete: A Fast Algorithm for the Many Pattern/Many Object Pattern Match Problem. In: Artificial Intelligence, vol. 19, pp. 17–37, 1982.” His Rete algorithm became the foundation for many … Continue reading →

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Researchers Achieve ‘Absurdly Fast’ Algorithm for Network Flow

Posted on June 10, 2022 by decisionmanagementcommunity

A team of computer scientists has come up with a dramatically faster algorithm for one of the oldest problems in computer science: Maximum Flow. The problem asks how much material can flow through a network from a source to a destination if … Continue reading →

Posted in Algortithms, Optimization | Leave a comment