Projects tagged ‘ai’ and ‘artificialintelligence’

Project OverviewThe S-Space Package is a collection of algorithms for building Semantic Spaces. These algorithms process text corpora and map semantic representations for words onto high dimensional ... [More] vectors. These approaches are known by many names, such as word spaces, semantic spaces, or distributed semantics. The research and development is being done by the Natural Language Processing group at UCLA led by David Jurgens and Keith Stevens, under the advisory of Dr. Michael Dyer. See the Getting Started page for a quick introduction on how to use the S-Space package, or see the Package Overview for information on the code and available features. GoalOur initial goal is to provide a uniform implementation for many common semantic space algorithms in order to facilitate research in semantic spaces and provide an accurate, reproducible way to compare different algorithms. Second, we aim to provide a comprehensive framework for researchers to easily develop new algorithms without having to replicate much of the shared software. As a part of this, we have implemented a variety of text and numeric based utilities for interacting with matrices, vectors, parsers, clustering algorithms and SVD. Where possible, all libraries are implemented in Java for maximum portability. We also support a limited set of Java-bindings to native libraries primarily for high-performance SVD and clustering operations. For those looking to implement their own Semantic Space algorithm within the S-Space package, we recommend looking at the Introduction page. AlgorithmsFor a list of the currently supported algorithms please see our algorithms page. Further resources for each algorithm may also be found on the publications page. ContactFor help using the S-Space Package, please contain our user mailing list: mailto:s-space-users@googlegroups.com. For question on development, bug reports or other code-specific questions, please contact our development mailing list: mailto:s-space-research-dev@googlegroups.com. If you have further questions, please feel free to contact David Jurgens or Keith Stevens. License and RestrictionsThe S-Space software package is free software released under the GPL v. 2 license. See our license and restrictions page for full details. [Less]

What?This is an open source software for AI, Machine Learning algorithms benchmarking, written in Java with TCP interface and example agents in Java and Python. This software suits for research ... [More] , teaching and self-learning. Starting from very simple examples you have ability to dive into very complex tasks. JNI is going to be supported fairly soon. Why?Got boring one day from walking just the mazes and came up with idea to create a universal benchmark with simple interface and entertaining content. When?This project was started in March 2009. Mario AI Competition was hold @ ICE-GIC in London on August, 24th and CIG in Milano on September, 7th, 2009. Currently approaching and working on organizing AI Mario Championship 2010. Who?by Julian Togelius and Sergey Karakovskiy with participant of Tom Schaul and Jan Koutnik. Where?@ IDSIA [Less]

PyBrain is a modular Machine Learning Library for Python. It's goal is to offer flexible, easy-to-use yet still powerful algorithms for Machine Learning Tasks and a variety of predefined environments ... [More] to test and compare your algorithms. It's the Swiss army knife for machine learning and neural networking. [Less]

Experiments in applying evolutionary algorithms, neural networks and other AI/CI algorithms to Super Mario Bros. Benchmark for macnine learning and artificial intelligence based on Super Mario Bros ... [More] What?This is an open source software for AI, Machine Learning algorithms benchmarking, written in Java with TCP interface and example agents in Java and Python. This software suits for research, teaching and self-learning. Starting from very simple examples you have ability to dive into very complex tasks. JNI is going to be supported fairly soon. Why?Got boring one day from walking just the mazes and came up with idea to create a universal benchmark with simple interface and entertaining content. When?This project was started in March 2009. Mario AI Competition was hold @ ICE-GIC in London on August, 24th and CIG in Milano on September, 7th, 2009. Currently approaching and working on organizing AI Mario Championship 2010. Who?by Julian Togelius and Sergey Karakovskiy with participant of Tom Schaul and Jan Koutnik. Where?@ IDSIA [Less]

Soar is a general cognitive architecture for developing systems that exhibit intelligent behavior. Researchers all over the world, both from the fields of artificial intelligence and cognitive science, are using Soar for a variety of tasks.

A Reinforcement Learning library in Python Includes Q-learning, Sarsa and more.

Teste de Inteligencia Artificial, usando XNA 3.1 e M$ Visual Studio 2008 pro.

A general purpose collection of game engine components. It is intended that these components are able to be composed together to create a game and engine without much coder effort after the fact. We ... [More] will rely heavily on object orientation, and design patterns, and focus toward data driven configuration and composition of components within the organisation of the framework. [Less]

Costruzione di uno risolutore per il problema dell’orario scolastico con vincoli hard e soft basato su tecniche di CSP. -i sorgenti del software eventualmente sviluppato -una breve relazione che ... [More] contenga: -descrizione del problema e delle ipotesi adottate -l'algoritmo e le caratteristiche della soluzione -discussione la complessità/effficienza stimata -test (con i dati di test) comparativi sulle prestazioni [Less]