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The JRRE project is a Java runtime environment implementation based on Sun's Java 2 Virtual Machine specification. The system is currently under development at Appalachian State University by undergraduates Christopher Ellsworth and Clarence Alston.
Our goal was to develop a very simple programming language for expressing state machines. You can express the logic of a fairly complex, real life statemachine in a single page of text that is easy to understand. Creates Java (C++ may be next).
JStateMachine is designed to control user interfaces (Swing and Servlet/JSP) by treating the UI as a well-defined finite statemachine. It is MVC-like and supports access control, exception handling, I18N and rapid prototyping.
This is an open source statemachine template for C++. Initially FSM support will be given. The purpose is to facilitate developers to create statemachine based C++ applications easily.
This is a library for an extensible framework for range encoding. The framework is an extensible object-based statemachine where probabilities are chosen based on the current frame the machine is in.
LSM4J is a lightweight Java based framework to model a statemachine. The developer implements a few generic interfaces and let the framework take care about processing the graph.
DBNL is a cross-platform library that offers a variety of implementations of Bayesian networks and machine learning algorithms.
It is a flexible library that covers all aspects of Bayesian netwoks from representation to reasoning and learning. It allows you to create simple static networks as well as complex temporal models with changing structure.
It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary...