Search Results for "wireless network simulation"

UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy.

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

This project includes the implementation of a neural network MLP, RBF, SOM and Hopfield networks in several popular programming languages. The project also includes examples of the use of neural networks as function approximation and time series prediction. Includes a special program makes it easy to test neural network based on training data and the optimization of the network.

JAS is a java library for creating agent based simulations. It features a discrete-event time engine, APIs for network simulation design, powerful yet easy-to-use implementations of Genetic Algorithms and Neural Networks.

The project has moved to github https://github.com/EnFlexIT/AgentWorkbench Agent.GUI is a simulation framework and toolkit based on the JADE framework. It provides functionalities for time aspects, agent-environment interaction, visualization and load balancing, Furthermore, the included application focuses the usability for end users.

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.

AMASBE (Advanced Multi Agent System Bullwhip Effect) is a bullwhip-effect control system for supply chains based on forecasts that uses Java Agent DEvelopment Framework (JADE).

Database Driven RoboCup Rescue Server is a version of RoboCup Rescue Server (https://sourceforge.net/projects/roborescue/) which uses a database to store the simulation data in order to simulate a very large number of agents.

The ART testbed program allows researchers to compare their work from a practical point of view in the modelling of trust in agent societies.

Java package to study a clustering model described in the paper \"Novel Clustering Algorithm Based Upon Games on Evolving Network\" by Q. Li, Z. Chen, Y. He and J-P. Jiang (in arxiv: http://arxiv.org/pdf/0812.5064v1), generalizations and similar issues.

Cognitive agent based social simulation toolkit (RBOT+MRS) / production system based on ACT-R (http://act-r.psy.cmu.edu) allows for modelling single actor cognitive experiments (RBOT) and multiple actors in a simulated (semiotic) world (RBOT + MRS).

"Java Artificial Intelligence Markup Language PAD" is a tool that manages ProgramD AI (on local or remote machines) and AIML files with real-time previews and it provides a network support to test AI capabilities over many network protocols.

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment. It comes with an optional specialization for evolving assembler-syntax algorithms. The evolution can be performed in parallel in any computer network.

Agent based model of organizations considering the interplay between the formal hierarchical structure and the process network emerging while the organization performs a task-set.

JRete is a rule engine written in Java. Advantages over other expert system shell and artificial intelligence(AI) API - code rules in java language, data may compute accross network with multiple JRete, auto data persistence to database, event-fire direc

Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).

MEM Net - Mote EMulator Network. This project will focus on: 1) MEM - Wireless Sensor Node (mote) emulator 2) MEM Net - network of emulated motes So far, the only released package is “visual-sim-slides”. More comming next !

This project aims to create a block oriented visual workbench for general purpose systems modelling and simulation. In the first milestone, we`ll build a simple GUI and the basic blocks to model neural network training and internetwork topologies.

It's a network oriented RPG, based on an open-ended artificial society simulation engine. Every character has an AI and acts autonomously; they born, live and die, mate, figth and form parties. The game runs by itself: players can control characters.

LiNNS is not just a Neural Network Simulator, but a Neural Network System - a framework which covers the full lifecycle of a neural network, from design and research till usage in an external application.

Main task is automating the creation of simulation models of complex model. The originalities of proposed software are explicit representation of conceptual model in the concept – attribute – relation form and applying expert system approach to transform designed ontology into agent model. Researchers develop the structure and behavior of agents using declarative approach. Web: https://84.237.20.67/RFFI/Main.php

Multimedia consumption at social events - if available - can be considered as a complex problem. People use their smart phones and tablets to take pictures and videos, leading to a high number of production places. If we enable those visitors to share their content at the event, new challenges emerge. Visitors move, go online and offline, and build a dynamic network. One can say a complex adaptive network emerges, with all its problems. We tackle these problems by introducing a bio-inspired...

It's a Cat and Dog game,we develop the Inner AI strategy for the Dog and we also code the strategy of the cat in order to simulate the user. Furthermore we use Artificial Neural Network to build the experiment