Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part-of-speech tagging in Natural Language Processing. The Quipu Maximum Entropy Package is a Java implementation of the maximum entropy framework. It allows you to train, evaluate, and use maxent models.
The RoboCup Soccer Simulator is a platform for evaluating multiple autonomous intelligent agents in a realworld-like domain. The simulator allows two teams of 11 players and one coach to interact in a simulated game of soccer. The team members connect to the simulator using UDP sockets and must perform complex behaviors using only a few basic commands, primarily dash, kick, turn, and catch, based on noisy and infrequent sensor information provided by the simulator. This simulator is used in the simulation league of the RoboCup competition.
The Spider is a complete object-oriented environment for machine learning in Matlab. Aside from ease of use for base learning algorithms, algorithms can be plugged together and can be compared with, for example, model selection, statistical tests, and visual plots. This gives all the power of objects (reusability, the ability to plug together, sharing of code), but also all the power of Matlab for machine learning research.
tinyMAS is a multiagent platform that provides base concepts (such as kernel, message, yellow pages, white pages, and transport service) and extended concepts (such as environment, influence, and perception). It aims to provide an easy-to-understand and and easy-to-use platform dedicated for multiagent engineer/research courses. TinyMAS is no longer under development. A large amount of its source code has been merged into the Janus platform.
VXL is a set of portable C++ libraries designed for computer vision research and implementation. Numerics, imaging, and geometry are provided by stand-alone core libraries, with easy to use APIs and sophisticated processing algorithms. Other libraries provide stereo, video, structure from motion, probability modeling, GUI design, classification, robust estimation, feature tracking, topology, 3d imaging, and much more. It is written and used by an international team from academia and industry.
Thinknowlogy is grammar-based software, designed to utilize the Natural Laws of Intelligence in grammar, in order to create intelligence through natural language in software. This is demonstrated by programming in natural language, reasoning in natural language and drawing conclusions (more detailed than scientific solutions), making assumptions (with self-adjusting level of uncertainty), asking questions (about gaps in the knowledge), and detecting conflicts in the knowledge. It builds semantics autonomously (with no vocabularies or words lists), detecting some cases of semantic ambiguity. It is multi-grammar, proving that Natural Laws of Intelligence are universal.
TinySoar is an implementation of the Soar artificial intelligence architecture that is intended to run on a memory-constrained device, like a robot. Soar is a "real time'' performance runtime that incorporates acting, planning, and learning in a rule-based framework. TinySoar includes alternative firmware for the Lego Mindstorms RCX, so you can control a Lego robot with a Soar agent.