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The Project moved to github https://github.com/EnFlexIT/AgentWorkbench
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.
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.
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.
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.
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).
Agents design supporting system for simulation models
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
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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
A simulator for self-organizing video replication and more
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...