Search Results for "agent based"
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Showing 67 open source projects for "agent based"
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EcoLab is a C++ based Agent Based Modelling system, with emphasis on high performance computing for scaling to large simulations.
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PhysiCell
physics-based multicellular simulator
PhysiCell is a cross-platform C++ framework for large, physics-based multicellular simulations. -
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GNNePCSAFT
Smart Thermodynamic Modeling with Graph Neural Networks
The project focuses on using Graph Neural Networks (GNN) to estimate the pure-component parameters of the Equation of State PC-SAFT. Currently, the model takes into account the hard-chain, dispersive, and associative terms of PC-SAFT. Future work on polar and ionic terms is being studied. FeOS is used for the PC-SAFT calculations. The estimated parameters can be used in DWSIM and Aspen HYSYS process simulators. -
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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.
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Zarja
Agent-based simulation toolkit
It is an open source scientific library that is focused on multi-agent simulations on graphs. It prepares basic toolkit for agents, models, timers, graphs, nodes and edges. It is also accompanied with tools for data processing. -
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JAS-mine
Toolkit for agent-based & dynamic microsimulation modelling
JAS-mine is a Java platform that aims at providing a unique simulation tool for discrete-event simulations, including agent-based and microsimulation models. With the aim to develop large-scale, data-driven models, the main architectural choice of JAS-mine is to use whenever possible standard, open-source tools already available in the software development community. It has built-in utilities for communicating with an underlying relational database. -
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AESOP-ACP
A simulation framework for production process modeling in Python
ACP is a simulation framework aimed to production processes modeling. Compared to its ancestor - jES - it is lightweight, more general and written in Python. The basic goal of the simulator is to find bottlenecks in production process which could be hard to detect with traditional approaches (e.g., top-down). In addition, it can be used to speculate about “what-if” scenarios in order to suggest solution strategies. -
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Simultra
Multiagent simulator of road traffic in Qt/C++ and OpenStreetMap.
...It combines microscopic and mesoscopic simulations into one multiagent hybrid simulator. The large-scale maps are modelled mesoscopically in real-time, and the complex traffic interactions benefit from detailed agent-based microscopic simulations. To resolve the concurrency issues within the maps representation and the meso-micro transitions, Simultra combines an event-based mesoscopic model of the maps with a more detailed physical engine. -
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MED-FOES
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. -
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Repast
The Repast Suite is a family of free agent-based modeling libraries.
The Repast Suite is a family of advanced, free, and open source agent-based modeling and simulation platforms that have been under continuous development for over 20 years. Current source code and releases are hosted on Github https://repast.github.io/ -
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MoRe4ABM
Managing Ongoing RElationships for Agent-Based Modelling
The purpose of MoRe4ABM - Managing Ongoing RElationships for ABM - is to support representing and analysing social networks in agent-based modeling. The library provides a large number of network generators and a comprehensive framework for network and node level measures. It integrates well with Repast Simphony and uses the JUNG library. More4ABM furthermore supports initialisation of geographically explicit networks using GIS. -
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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!
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JABM is a Java framework for building agent-based simulation models using a discrete-event simulation framework.
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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.
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.... _______________________________________ Please have also a look on our info page about other NetLogo extensions at http://www.uni-goettingen.de/en/315075.html. _______________________________________ Please cite this software in scientific publications as: Thiele, JC; Grimm, V (2010). NetLogo meets R: Linking agent-based models with a toolbox for their analysis. Environmental Modelling and Software, Volume 25, Issue 8: 972 - 974
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Revolution Java Libraries
Java libraries for creating applications
Revolution Java libraries are downloadable .jar files used for creating applications. They are designed specifically for creating agent-based modelling applications. revolution.jar Contains the basic classes need to create an application. revolution-apps.jar Extends revolution.jar with a number of in-built application templates. -
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Exreco
EXperimental REplicator COllider
The project is moved to GitHub : https://github.com/bekisz/exreco/ Exreco is a agent based platform for the simulation and study of the Darwinian evolutionary process. It aims to support the exploration of genetically rooted phenomena like - aging (programmed cell death) - sexual and asexual reproduction - altruism of individuals - spread of diseases The typical way of using Exreco starts by defining the behavior of your replicators ( agents that can reproduce and evolve over time), and defining the environment of these replicators. ... -
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uranus4abm
Universal Random Number Service for Agent-Based Models
The purpose of URaNuS (Universal Random Number Service) is to provide a common library for Agent-based models that allows modelers to define different random streams and/or generators for different model parts in order to investigate the influence of distinct model parts to stochasticity. It is also useful to manage random numbers in the interplay of multiple libraries. -
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Agent.GUI
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. -
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DeCoAgent Library
Deliberative Coherence Driven Agent
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. -
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Urban is a software capable of procedurally creating 3d urban environments. It's based on a multi-agent system where each agent is responsible for one type of urban object. This means the system is highly modular and can easily be extended.
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famos
Framework for Agent-oriented MOdelling and Simulation
Famos is a Java-based framework for developing agent-based models. It uses the discrete-event simulation framework Desmo-J (http://desmoj.sourceforge.net) as its simulation engine. Famos implements event-driven time advance and focusses on supporting an explicit model of space for the environment, including the movement of agents. Famos was developed in the context of a PhD project. -
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PolityBuilder
A system for agent-based modelling in political psychology
PolityBuilder is a collection of java libraries and applications for exploring the relationship between individual psychology and political phenomena. It is based on research conducted by Andrew Reilly at the Australian National University. -
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BitBang
Agent-based framework for Artificial Life and Complex Systems
BitBang is an agent-based simulation framework, best suited for complex systems or artificial life research. It is developed with ease of integration in mind, allowing the interplay with existing 3D and physics engines. -
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LARA
Lightweight Architecture for boundedly Rational Agents
For the purpose of policy simulation in coupled social-ecological systems (e.g. energy supply), a credible modelling of actors – especially citizens – and their decision processes is needed. This requires a framework capable of handling high numbers of heterogeneous agents (several hundreds of thousands). LARA (Lightweight Architecture for boundedly Rational Agents) meets these requirements and fills the gap between frameworks without built-in psychological foundations and full-fledged...
