Agent Based
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Repast v.3 1
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have collectively been under continuous development for over 10 years.
BehaviorSearch v.0.7
BehaviorSearch is a software tool to help with automating the exploration of agent-based models (ABMs), by using genetic algorithms and other heuristic techniques to search the parameter-space.
Adaptive Modeler v.1.2.8
Generates trading signals for stocks, ETFs or other market traded securities. Adaptive Modeler creates agent-based models for price forecasting of real-world market-traded securities such as stocks, ETFs, commodities or forex currency pairs.
HaneWIN LLDP Agent v.1 4
The haneWIN LLDP software implements a LLDP Agent based on the IEEE 802.1AB standard for the Link Layer Discovery Protocol. The Link Layer Discovery Protocol (LLDP) is a protocol for discovering the physical topology in 802 LANs.
ManageEngine MSP Center Lite v.8100
Agent based Remote Network and Systems Management Software that offers both Monitoring and Management features. It offers 100% data security as the agent and central communicate via a secure HTTPS connection.
ServerAssist v.4 4
ServerAssist: the most comprehensive server monitoring solution available. The Professional edition is an agent based solution: An agent deployed to each server provides deep server monitoring, without needing a central monitoring system.
MSPCenterLiteAgent v.1.0
MSP Center Lite is an agent based Remote Systems Management solution, designed specially for Managed Service Providers (MSPs).
Fit the PotJack v.1
A simple agent-based model demonstrates emergent collective behavior.
Data Center Audit v.2.6.0
Data Center Audit (DCA) is a non-intrusive, non agent based web software designed to assist IT experts with auditing, planning, and the organization of inventory within a data center. Data Center Audit offers the capability to view all IT elements
IGETIT v.5.0
An agent-based situated language learning simulation that focuses on lexical learning and grounding, featuring a unigram syntax structure and a CFG-based semantic grammar. Created as a MSc thesis project, using python.