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SEMANTIXS is a semantic information extraction system that can extract, represent and visualize domain-specific information from free-text in the form of complex (and simple) relationships. Refer - http://www.cs.iastate.edu/~semantix/ for more info.
TextMarker is now developed and hosted at Apache UIMA (http://uima.apache.org/textmarker.html). TextMarker is a UIMA-based tool for information extraction and more. The full featured editor of the rule language and the build process of UIMA descriptors are complemented with components for visualization, explanation, testing and rule learning.
A unified collection of algorithms for Artificial Life. It includes evolutionary algorithms, neural networks, data mining tools, compilers, among others.
Simple interactive Java browser is basic simple browser show how we can use voice commands to navigate in web sites and use hyperlinks as a voice commands.
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The project includes a software, which uses an AI for autonomous sailing of a small sailing boat, equipped with various sensors and GPS. There are various methods for evaluation and improvement of sensor data, route planning, collision avoidance.
ORE (Ontology Rule Editor) is a platform-independent application to manage
the use of inference rules defined on a model represented by an ontology. ORE offers a easy, well-guided and intiutive GUI to define and test these inference rules.
RoboBeans is an interface to the "Robocup 2D Soccer Simulation Server" that allows developers to write Robocup teams\agents concentrating on behaviour and AI without having to worry about syntax of communication or network issues.
Feating constructs a classification ensemble comprising a set of local models. It is effective at reducing the error of both stable and unstable learners, including SVM. For details see the paper at http://dx.doi.org/10.1007/s10994-010-5224-5.
Cougar Squared is a new Java library for machine learning and data mining research, supporting research needs of the community. It is written by researchers for researchers. It extends the WEKA and YALE machine learning frameworks.
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.
This project provides a java implementation of the Captcha project ( see http://www.captcha.net ). A CAPTCHA is a program that can generate and grade tests that: -Most humans can pass. -Current computer programs can't pass.
The aim of this project is to produce a software that will content two modules :
- the first one will allow to conduct simulations of social behavior,
- the second one will be able to produce philosophical considerations.
The version version will be i
DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.
SimIS presents an agent-based simulation environment from multiagent research to simulate Internet-of-Services systems. The simulation environment bases on Repast Simphony 1.2 (http://repast.sourceforge.net/).
EXTE recognizes temporal expressions in a text. Temporal expressions are any references to the TIME e.g.: "today", "12th march 2006", "as soon as he woke up". This analyzer will recognize three languages: Spanish, English and French.
ROS repository for human-robot engagement package, developed at Worcester Polytechnic Institute. Currently contains ROS stack for recognizing and generating connection events. This work is supported by the NSF awards IIS-0811942 and IIS-1012083.
Contextor is a light-weight simple-to-use Java based library to help developers and researchers working with the general concept of a resource; as examples, resources can be text resources, web resources, images and videos.
Maximum entropy is a powerful method for constructing statistical models of classification tasks, such as part of speech tagging in Natural Language Processing. Several example applications using maxent can be found in the OpenNLP Tools Library.