Cormas - Natural Resource and Multi-Agent Simulations

Centre de cooperation internationale en recherche agronomique pour le developpement

Cormas is a programming environment dedicated to the creation of multi-agent systems, with specificity in the domain of natural-resources management. This site is devoted to the applied modelling of relationship between societies and their environment. These programs concentrate on developing simulation models that identify relationships between individuals and groups that jointly exploit common resources. This site aims at facilitating communication between the users of Cormas or Multi-Agent Systems applied to natural resources. This site enables this communication by providing access to download Cormas software and any upgrades for free. Additionally the user can access tutorials and examples of didactic, theoretical, or applied models. A search engine within a bibliographic database will be soon available, for the moment, bibliographic lists are given. Other functions of this site include a model and data base forum discussion, specific information on the research team, and a very detailed Frequently Asked Questions page. This resource is part of the Biocomplexity collection.

This description of a site outside SERC has not been vetted by SERC staff and may be incomplete or incorrect. If you have information we can use to flesh out or correct this record let us know.

Part of the Cutting Edge collection. The NAGT/DLESE On the Cutting Edge project helps geoscience faculty stay up-to-date with both geoscience research and teaching methods.

Cutting Edge
This resource is referenced here:
Subject: Environmental Science:Policy:Environmental Decision-Making, Environmental Science
Resource Type: Scientific Resources:Research Results, Datasets and Tools:Datasets
Grade Level: Graduate/Professional, College Upper (15-16)
Theme: Teach the Earth:Incorporating Societal Issues:Public Policy, Teach the Earth:Course Topics:Environmental ScienceKeywords: cellular automata, situated agents, aggregative spatial entities, Axtell and Epstein model