Search Results for "java agent"
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Showing 19 open source projects for "java agent"
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Repast
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation libraries that have collectively been under continuous development for over 10 years. -
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AI Search Agent Framework
Java Framework for Artificial Intelligence Search Agents algorithms
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MoRe4ABM
Managing Ongoing RElationships for Agent-Based Modelling
The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS. -
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S-Match
S-Match is a semantic matching framework.
..., ontology evolution and alignment, peer-to-peer information sharing, digital libraries integration, web service composition, agent communication, and query answering on the web. S-Match is extendable to host new algorithms. -
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ParMa
Parameter Management for agent-based simulation models
ParMa provides several ways to define and read parameter settings for ABM ant therefore facilitates the organisation of model parameter settings. -
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Web-controlled intelligent agents which interact with the Supply Chain Collaboration On-line Research Institute (http://www.sccori.com/sim/) supply chain simulation.
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NetLogo is a software platform for agent-based modelling. Here we present an R extension of NetLogo. It adds new NetLogo primitives New locations: R-Extension: http://r-ext.sourceforge.net Rserve-Extension: http://rserve-ext.sourceforge.net
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An enhanced Simulator based on Agent Grid Repast.It has some bugs cleared from Agent Grid Repast and has enhanced features on Group Selection Policy.
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QASE is a Java-based API designed to provide all the functionality needed to create game agents in Quake 2. Powerful enough to facilitate high-end research, it is also suitable for undergrad courses geared towards classic AI and agent-based systems.
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SAgent86 is the Java code for a participant agent in the Agent Reputation and Trust (ART) Testbed 0.3.4.
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Shibboleth Jabber Instant Messaging agent - utilizes Jabber IM with out-of-band Shibboleth authentication for secure anonymous chat (e.g. between an authenticated library user and a librarian), with programmable behaviour.
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TOS is a multi-player soccer simulation game and a match simulation engine for on-line soccer management games. TOS can also be used as a tool for multi-agent AI research and education.
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ManyMinds is a java environment for building agent-based software. It is primarily for developing educational software (even more specifically, middle school inquiry science software). This software was developed with the support of the NSF and OERI
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MockExaminer is a software that you can use to prepare yourself for exams. You can also use it to create and deliver exams to other candidates. In fact the software consists of two separate programs; an exam designer and an exam deliver agent.
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java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.
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Socker is a framework for development of teams in the simulated robocup. The framework supports different types of agent architectures and works with soccer server 8.x
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SIMULA is a open java source software designed for students that want learn multy agent systems. SIMULA is a software that make it possible create simple multy agent system simulations.
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This is an education software intended to teach the basic data structures like staks, queues, trees and graphs. The software use an tutorial intelligent agent to keep track of the status of the student.
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The project is a case implemntation for a Multiple Agent Web Based System. The case is concerned with Teaching and Learning.
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