CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.
This is a framework to develop Contexts and Agents and a Container to run them. The Container lets each Agent interact with the Context and other Agents. The agents are deployed in jar files and each one runs in an exclusive sandbox.
Perlbox Voice is an voice enabled application to bring your desktop under your command. With a single word, you can start your web browser, your favorite editor or whatever you want. This is the Linux and Unix voice recognition solution.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Developing a system which can deduce all demonstratable truths in any particular game of Clue/Cluedo. Once complete, this system will be used as the basis for the creation of an AI clue player.
ECSID (Evolutionary Computation based System Identification) is a program that automates the process of system identification
through the use of Evolutionary Computation tools (GA, GP and GEP).
ECSID is written in lisp, using asdf and clgtk
Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification).
MPT is a toolbox that supplies cross-platform libraries
for real-time perception primitives, including face detection, eye detection,
blink detection, and color tracking.
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Robot Controlling System (RCS) - is a .NET-oriented software group for controlling remote mechanical objects, debuging and programming them by .NET-languages
Knowledge Management System of China ,
Support Healthcare,Oil development, electric power etc. Knowledge Drived Industry.
Modeling driven,
Event driven ;
Open Source, Internationalization,
AINet is a general purpose Artificial Intelligence software application and network. It learns from experience and user training to solve problems and interact with the environment. It runs in workstation and robotic applications.
The DataTime Process Framework is intended to support the processing of time-based data in a modular, concurrent, distributed and extensible manner. C++, using YARP, ACE, Qt and MUSCLE on Linux, OSX, Windows and Solaris.
Robotic Manipulator Development and Simulation Environment in Python and Blender. IMPORTANT: Development moved to github. http://github.com/ajnsit/r2d3
The Another Web Chat Bot (AWCB) is a kernel for easy web-based chat bot development. The current object-based version is designed to make the development of user's wcb modules simpler.
A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
SPADES (System for Parallel Agent Discrete Event Simulation) is a
middleware system for the creation of artificial intelligence
agent-based simulations. SPADES supports robust distribution across
machines and tracks the thinking time of agents.
AGISim is a framework for the creation of virtual worlds for artificial intelligence research, allowing AI and human controlled agents to interact in realtime within sensory-rich contexts. AGISim is built on the Crystal Space 3D game engine.
DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.
SoFi (Solution Finder) is an extensible Java framework that facilitates rapid development of instructional applications to demonstrate common search and problem solving methods in the field of Artificial Intelligence.