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a simple c/s framework software to play Reversi game also known as Othelo, with a well developed AI client, one could develop his/her own client too. Please refer to https://github.com/aijunbai/reversi.git for possible updates.
JKalman is an Open Source Java implementation of Kalman filter.
Kalman filter is an efficient computational (recursive) tool to estimate the dynamic state of a process in a way that minimizes the mean of error.
`ABL' is a basic flexible abstract list library defined using C preprocessor. It allows you to define linked lists of arbitrary types very easily. You also can use it as stacks and queues. You can easily define complicated types like list of lists etc.
This software is a Library for Adaptive Boosting (AdaBoost). It provides a generic framework for the study of the Boosting algorithms. The framework provides the different tasks for boosting: Learning, Validation, Test, Profiling and Performance Analysis
PHPNN Is an open source, GPL licensed, PHP class library for the easy creation and manipulation of Neural Network based artificial intelligence. This library is intended for use in experimentation, games, quality control, or any other purpose.
Little b is a Lisp-based language which allows scientists to build shareable, reusable mathematical models of complex systems based on shared parts. The initial focus is molecular and multicellular networks.
Project web page: http://www.littleb.org
Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.
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ExpertCoder is a toolkit for the .NET platform that supports the creation of code generators based on templates and expert systems. It is suitable for MDA projects. The UML-related libraries (UML, MOF and XMI) are now provided by the nUML project.
Modell (Modular Extension Lisp Language) is an interpreted, modular dialect of LISP, specially suitable for embedding in applications. It exposes a C++ API for extending/embedding and includes basic capabilities for object-oriented programming.
OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)
The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.
An academic project where computer-science students can practice data structures principles. Based on the famous problem of the labyrinth rat, this application has an engine where you can run your own algorithms to help the robot to get out of the laby.
‘intelliworm’ is a prototype simulation of a Intelligent Species of a common earth worm,which inherits human like decision making capabilities through Neural Network intelligence representation,all developed by integrating .NET with Lisp and Yacc.
Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI
Blackboard implements a lightweight, portable tuple space suitable for multi-agent system and distributed component design. Supports implicit invocation via content-filtered asynchronous events, blocking call semantics, and shared memory messaging.
AKIRA aims to create a C++ development framework to build cognitive architectures and complex artificial intelligent agents.Features:KQML,Fuzzy Logic,Neural Net,Fuzzy Cognitive Maps and DIPRA (a distributed BDI - Belief Desire Intention goals model)
A simulation environment for 2D robots to interact and perform tasks in. Meant to be educational and demonstrate emergent behaviors. No download necessary! See demos on project website!
Locality Sensitive Hashing is an improved indexing method for high dimensional data. lshtools provides indexing with LSH and an intelligent non supervised subsampling strategy using this indexing method.