Models

Below are models powered by the SOSIEL Platform, organized in an alphabetical order. All models are licensed under the Apache License, Version 2.0 (the "License").; you may not use SOSIEL products except in compliance with the License. You may obtain a copy of the License at:

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Developers: Garry Sotnik & Maxim Davidovsky

Late release: September, 2019 (Download)

Description: Journal Article, User Guide, Specs

Requirements: Windows 7 or higher, .NET Core 2.2 Runtime & Hosting Bundle for Windows (v2.2.1)

Open-source license: Copyright 2020 Garry Sotnik and Maxim Davidovsky

Applications

Description: CEMMA (CoEvolutionary, Multilevel, & Multi-Agent) is an interdisciplinary game for spatiotemporal common-pool resource management analysis.





Keywords: multilevel group selection.

Developer: Garry Sotnik

Expected release: June 30th, 2019 (Download)

Description: Journal Article, User Guide, Specs

Requirements: Windows 7 or higher

Open-source license: Copyright 2020 Garry Sotnik

Applications

Description: The CHAD (Climate, Hydrology, Agriculture, & Decision-making) model.




Keywords: agriculture, climate, decision-making, hydrology, social-ecological interaction.

Developers: Garry Sotnik, Brooke Cassell, & Robert M. Scheller

Latest release: September, 2018 (Download)

Description: Journal Article, User Guide, Specs

Requirements: Windows 7 or higher, .NET Core 2.2 Runtime & Hosting Bundle for Windows (v2.2.1)

Open-source license: Copyright 2020 Garry Sotnik, Brooke A. Cassell, and Robert M. Scheller

Applications

Description: The SOSIEL Platform was coupled with LANDIS-II as its SOSIEL Human Extension (SHE). The model simulates one forest management agent directing its attention from one forest site to another and each time making a harvesting decision and potentially taking a harvesting action. The model demonstrates the complex relationships among factors influencing decision-making, including conflicting goals, site-specific expectations, known decision options, and dynamic macro- and micro-level landscape conditions. These complex relations make it difficult for a decision-maker to accurately anticipate the levels of influences of specific decision options and, in turn, accurately select decision options that are most appropriate for achieving their goals. Recognizing and analyzing these complex relationships has the potential of improving our understanding of forest management and, in turn, our ability to manage forests.

Keywords: forest use.

Developer: Garry Sotnik

Latest release: 2.01 (January 21st, 2019, Download)

Description: Journal Article, User Guide, Specs

Requirements: Windows 7 or higher, .NET Core 2.2 Runtime & Hosting Bundle for Windows (v2.2.1)

Open-source license: Copyright 2020 Garry Sotnik

Applications

Description: The model simulates seven agents engaging in collective action and inter-network social learning. The objective of the model is to demonstrate how mental models of agents can co-evolve through a complex relationship among factors influencing decision-making, such as access to knowledge and personal- and group-level constraints.

Keywords: collective action.