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DAT Freight and Analytics - DAT
DAT Freight and Analytics operates DAT One truckload freight marketplace
DAT Freight & Analytics operates DAT One, North America’s largest truckload freight marketplace; DAT iQ, the industry’s leading freight data analytics service; and Trucker Tools, the leader in load visibility. Shippers, transportation brokers, carriers, news organizations, and industry analysts rely on DAT for market trends and data insights, informed by nearly 700,000 daily load posts and a database exceeding $1 trillion in freight market transactions. Founded in 1978, DAT is a business unit of Roper Technologies (Nasdaq: ROP), a constituent of the Nasdaq 100, S&P 500, and Fortune 1000. Headquartered in Beaverton, Ore., DAT continues to set the standard for innovation in the trucking and logistics industry.
MATSim is a framework for building multi-agent transport simulations.
MATSim has moved to GitHub: https://github.com/matsim-org/matsim
Source code and newer releases are now hosted at GitHub!
JASA allows researchers in agent-based computational economics to write high-performance trading simulations using a number of different auction protocols. The software also provides base classes for implementing simple adaptive trading agents.
This project is an extension to Jadex Framework and aims to develop an autonomous agent which is using adaptive decision making architecture based on Thagard’s deliberative coherence.
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.
Software agents and human actors combine their decision making skills to arrive at efficient solutions to real-life planning and scheduling problems, especially in domains where unexpected incidents require changes to existing plans.
A software toolkit that implements the CoSy Architecture Schema for developing integrated intelligent robotic systems. The toolkit focuses on supporting on a space of information-processing architectures based on shared working memories.
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.
Dun and Bradstreet Connect simplifies the complex burden of data management
Our self-service data management platform enables your organization to gain a complete and accurate view of your accounts and contacts.
The amount, speed, and types of data created in today’s world can be overwhelming. With D&B Connect, you can instantly benchmark, enrich, and monitor your data against the Dun & Bradstreet Data Cloud to help ensure your systems of record have trusted data to fuel growth.
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/).
A demonstration of the result of using an agent based approach in software. Shows a swarm of icons representing agents that follow user selected rules.
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.
ERepSim presents an agent-based cloud simulation environment integrating electronic institutions from multiagent research to simulate Internet-of-Services systems.
A suite of machine learning benchmarks where each agent must solve a lot of different tasks without recompilation. This means that the programmers cannot manually specify topologies or adjust parameters to specific tasks.
TOAST (Trust Organisational Agent System Testbed) is a simulation framework used to evaluate and compare different trust models for agents embedded in organisational systems.
TACS (Trust Ant Colony System) is a Trust model for P2P, Ad-hoc and Wireless Sensor networks (also valid for multi-agent systems) based on the bio-inspired algorithm ACS (Ant Colony System).
Agent-based Grid simulator built on top of Repast simulation engine. Allows for a quick and easy development and analysis of agent-based coordination mechanisms for the Grid
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.
ABSim is an Agent-Object-Relationship (AOR) simulation system based on a Java program library. The development of ABSim has terminated. Its successor is <a href="http://oxygen.informatik.tu-cottbus.de/aor/?q=node/2">AOR-JSim </a>