Search Results for "testbed"

In an optical network scenario which consists of multiple nodes (whiteboxes) at its edges and ROADMs in-between, the coherent transceiver average laser configuration time is improved. The process is evaluated according to a testbed setup. This is facilitated in the appropriate lab equipment (or via simulation when required). For that purpose, a software agent (Netconf server) residing at the whiteboxes, is developed receiving input from the Software-Defined Networking (SDN) packet controller (PacketCTL - a Netconf client). Then, configuration of the local transceiver laser frequencies of the controlled pluggable devices takes place, for facilitating the connectivity in-between the ROADM network. ...

The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. ...

...In the area of graph data, graph neural networks (GNNs) and their explainability are experiencing rapid developments. However, there is neither a unified treatment of GNN explainability methods, nor a standard benchmark and testbed for evaluations. In this survey, we provide a unified and taxonomic view of current GNN explainability methods.

...It allows researchers to test algorithms where multiple units (agents) must collaborate to win battles against built-in game AI opponents. SMAC provides a controlled testbed for studying decentralized execution and centralized training paradigms in MARL.

A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. ...

ADIC (any door is closed) is a cooperative multiplayer game. The goal is to lock all players of the other team. Beside of playing the game you can write a bot and use the game as testbed for AI/robotics algorithms.

Cog-Trust implements a cognitive theory of trust for social agents. It includes a testbed for testing and protopying hybrid agents. Deliberative modules are coupled to classifiers and cognitive maps, used for the assesment of trust and delegation.

GridIQ is a testbed for smart grid agents. It enables the JADE agent development platform to integrate with the PSAT power simulation tool.

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

ECSKernel is a multiagent coordination algorithm testbed, built on the RoboCupRescue disaster simulation platform. It is easily configurable and can be used with user-generated scenarios.

SAgent86 is the Java code for a participant agent in the Agent Reputation and Trust (ART) Testbed 0.3.4.

TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.

AI-TEM is a Artificial Intelligence (AI) testbed made by game console emulator. User , developer or researcher can implement many AI and test it on real commercial game. (Suitable emulator and ROM required, see more detail inside...).

A C++ framework and applications for experimenting with artificial intelligence, 3D graphics and simulated physics. It's primary focus is to provide a testbed for simulated robotics using Ogre 3D and the Open Dynamics Engine.

Sea Wars is a variation on Battleship, and provides an excellent testbed for artificial intelligence research.