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Build Agents and Models on One Platform
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
UIBM (= Universal Individual-Based Model) is an agent-based simulation/3d-dvisualization of the dynamics within multispecies plant communities of Northwest Europe, parameterized from databases using universal scaling laws.
An Agent-Based Simulation of Invasive Pest Insects
MED-FOES is an implementation of a stochastic Agent-Based Simulation (ABS) system for analyzing demographic changes in a single population of Medfly (Ceratitis capitata) over time. The simulation currently takes population extinction as a given because it aims to give us better estimates of necessary quarantine lengths in areas where Medfly is not currently established but does repeatedly invade. Thus the objective of this software is to estimate the time to local extirpation based on known...
Competition for Resources between Agent Functional Types
CRAFTY is a large-scale ABM of land use change. It has been designed to allow efficient but powerful simulation of a wide range of land uses and the goods and services they produce. It is fully open-source and can be used without the need for any programming.
The Evolutionary Environment Simulator (EvESimulator) is an agent-based economy simulation framework which provides a broader view on evolutionary aspects within a Digital Business Ecosystem.
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KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model
The Evolutionary Environment (EvENet) provides a P2P Network for guiding the evolution of Software Services and Service Compositions over time. This evolution is based on knowledge sharing and optimised using GA and Agent Systems. It is part of the DBE.
DIET Agents is a lightweight, scalable and robust multi-agent platform in Java. It is especially suitable for rapidly developing P2P prototype applications and/or adaptive, distributed applications that use bottom-up, nature-inspired techniques.