Search Results for "decision analysis"

...It turns the investment methods of Warren Buffett, Charlie Munger, Duan Yongping, and Li Lu into structured research agents. The project is meant to improve research depth, decision discipline, and analytical consistency compared with asking a general AI model for a one-off stock opinion. It uses parallel agent analysis, adversarial viewpoints, financial rigor checks, and repeatable report formats to reduce shallow or overly balanced conclusions. The framework covers company research, earnings review, industry screening, portfolio thinking, management analysis, and investment checklists. ...

Agent Executor (AX) is a Google research project for learning discrete choice models through differentiable maximum likelihood estimation. It is designed for situations where a model needs to predict choices from a finite set of alternatives, such as ranking, recommendation, preference modeling, or decision behavior analysis. The project provides JAX-based tools for defining and training choice models with automatic differentiation. It focuses on flexible model construction rather than a single fixed estimator, making it useful for researchers who want to experiment with different utility functions and optimization setups. ax is especially relevant for machine learning and econometrics workflows that need scalable, differentiable approaches to choice modeling. ...

OWL (Optimized Workforce Learning) is a sophisticated open-source framework built on the CAMEL-AI ecosystem for orchestrating teams of AI agents to collaboratively solve complex, real-world tasks with dynamic planning and automation capabilities. Unlike single-agent systems, it treats task completion as a collaborative workforce where agents take on specialized roles (planning, execution, analysis) and coordinate via a modular multi-agent architecture that supports flexible teamwork across domains. OWL delivers state-of-the-art performance on benchmarks like GAIA and emphasizes real-time decision-making, web automation, rich search integration, document parsing, and multi-tool workflows, making it suitable for tasks ranging from information retrieval to interactive automation.

This tool is about a method called "process-oriented decision tables". These are decision tables but different from "normal" decision tables. They fix the flaws of traditional decision tables making it a joy to work with. But they keep all benefits of traditional decision tables. First of all they present the logic in a very dense form. 1. Explore all possible combinations of conditions and actions by question-and-answer. 2. Have a compact one-sheet-view on complex logic. ...

This is a library for building decision tables and to get test specifications from it. More about decision tables and how this library works you'll find in the help files for the project JDecisiontable (which is an application build around this library): http://sourceforge.net/projects/jdecisiontable => Files => Help This library can give you decision table and test specifications as strings in json and csv format. The project JDecisiontable take this strings and save them as text...

vRules4j--The best completely Object Oriented Java Object Validation/Decision Rule engine,which is born for taking over all validation responsibility in java business-enterprise industry and looking forward to providing Perfect/Lightweight solution.

PerMoTo is a Performance Modelling Tool suite for decision support in the capacity and performance management of distributed transaction processing systems based on Queueing Theory and Discrete Event Simulation.

Decision Analysis is an easily-extensible expert system to help users make decisions of all types. Written entirely in Python, Decision Analysis, at this time, contains a general decsion module, which uses a weighted average technique to evaluate use