Search Results for "basic"

ILA stands for (kind of) intelligent, learning assistant and is a speech recognition system aka voice assistant very similar to Siri, Google Now and Cortana. ILA is fully customizable and you can teach her/him/it new things by yourself like executing system commands, opening web pages, programs and apps or just some basic conversation :-) ILA runs on Java und thus is compatible to Windows, Mac and Linux. It is designed to integrate with your home enviroment and for example build up your own, free and open Amazon Echo replacement ;-) Right now the key components of ILA are the open source speech recognition CMU Sphinx-4, Google (Speech Recognition/Text-To-Speech) and MaryTTS (Text-To-Speech). ...

...With the help of jGeohash, software developers will be able to quickly and easily generate a geohash code using user-defined latitude and longitude values. By using the GeoHash algorithm, the space can be divided into multiple grid shapes. This library is a basic implementation from the GeoHash algorithm written in the java can be applied to generate from the latitude and longitude a geohash code and reverse. The library is kept simple and have no dependencies to other libraries. For more information about the GeoHash algorithm go to (http://en.wikipedia.org/wiki/Geohash) Snapshot from source code are available at: https://github.com/astrapi69/jgeohash.git If you have suggestions or improvements of bugfixes please contribute back via github

TuCSoN (Tuple Centres Spread over the Network) is a tuple-based middleware for the coordination of distributed systems – including multi-agent systems, mobile agents and pervasive systems.

...Ellipsis already comes with a predefined set of agents, offering basic services like agency, loader, holdingarea and migration.

A Checkers game implementation in Java that is optimized for AI's. It includes a basic GUI and a trainer for learning AI's. This started as a Checkers program for a Checkers AI contest in the Stanford EPGY 2008 summer AI course.

A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.

A new project extending the basic jGameAI framework. This simulation demonstrates flocking and grouping behaviour as appearing in nature like birds and fisch schools.

JCheckers is a basic implementation of the checkers game using the framework from JGameAI. It is a public universitary project and will grow in future. Based on the framework JGameAI we want also improve new strategies on artificial intelligence.

multi-agent approach to traffic control: -3D visualization -XML-input for traffic networks -simulation progress control -basic performance statistics -delegate MAS -BDI based vehicles -pluggable behavior modules -pluggable coordination modules