Search Results for "agents"

This project proposes a virtual laboratory for social scientists interested in the modelling, analysis and behavioral simulation of power relationships within organizations and more generally in systems of collective action. This software is grounded on the works lead by Sibertin-Blanc and Roggero on the formalization of the Sociology of Organised Action [Crozier and Freidberg]. Visit the homepage of the project on soclabproject.wordpress.com for tutorials, examples and further...

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.

...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. If it is all done you can let it run observing what kind of genes prevail over time. The tool typically runs the same world (experiment scenario) over and over again to have a statistical understanding of the various replicator strategies.

A python framework for fuzzy inference computations

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.

Laputa is a research tool and a sandbox environment for simulating the attainment of knowledge in social networks, such as scientific departments, editorial boards, expert groups, and the general public. It was developed at the philosophy department at the university of Lund.

EVO is a simulation platform for co-evolving the morphology and the behavior of 3D artificial agents in a complex environment. This project directly follows the original work of Karl Sims. It puts together complex creatures, a GA & Open Dynamics Engine.

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.

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 cognitive architectures which are both not viable options in this context. LARA provides prefabricated components of an agent’s decision process like perception, memory, and different modes of decision making. ...

The Mars Rover Simulator project is based on the evolutionary robotics paradigm where an artificial agent acquires its skills through the process of artificial evolution. This simulator can be useful to evolve neural network controllers for the rover

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.

Siafu simulates individual agents and their context, from home to city-wide scenarios. As a developer, you use the API to write your simulation for the purposes of data-set generation, test or visualization, optionally hooking it to your own application.

breve is a free, open-source 3D multi-agent simulation package designed for simulating decentralized systems and artificial life.

A Simulation based on SWI Prolog

DCOPolis is a framework for comparing and deploying distributed decision processes in heterogeneous environments, including simulation in a virtual machine.

Ouroborus is an artificial life framework for mobile agents on a background of cellular automata. It can be used to teach and research topics such as population genetics, ecology and evolution. The demo includes a curses view and live Csound audio.

UniNetS is an extensible C++ API for simulating any kind of network consisting of inter-connected/communicating agents.

Elysia is an attempt to study the complex process behind decision making in neural systems. An evolved entity approach is used to converge on an 'intelligence' solution through genetic algorithms as well as adaptable models of distributed 'thinking'.

Symbiomotive is an extensible engine for modeling multi-agent environments that exhibit self-organizing, symbiotic behaviors.

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.

Spyse is a software framework for building multi-agent systems. It allows Python developers to build distributed intelligent systems of multiple cooperative agents based on FIPA, OWL, SOA and many others. Spyse is designed for ease-of-use and fun.

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.

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

This web applet simulates "conscious agent" dynamics as described by Donald D. Hoffman, et al. It allows 1 to 8 agents to interact in 1, 2 or 3 dimensions, and graphically shows the progress of the simulation.