Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.
Biobehavioral interactions between two populations under different movement strategies.
The model simulates interactions in small, task focused groups that might lead to the emergence of status beliefs among group members.
The model reproduces the spread of environmental awareness among agents and the impact of awareness level of the agents on the consumption of a resource, like energy. An agent is a household with a set of available advanced smart metering functions.
Agent-based model of hunting behavior of Ache hunter-gatherers from Paraguay. We evaluate the effect of group size and cooperative hunting
Replication of the well known Artificial Anasazi model that simulates the population dynamics between 800 and 1350 in the Long House Valley in Arizona.
CoMSES Net is dedicated to fostering open and reproducible scientific computation through cyberinfrastructure and community development. We develop and curate resources for model-based science with FAQs and forums for discussions, job postings, and events. We also develop and maintain the OpenABM Computational Model Library, a digital repository for code that supports discovery and good practices for software citation, reproducibility and reuse.
We would like to draw your attention to an opportunity for junior socio-environmental systems scientists (PhD students and postdocs). The POLISES research group offers several fully funded 3-mont[...]
Research scientist on modelling socio-ecological systems Clermont-Ferrand, France Research area: applied mathematics, modelling POSITION open to candidates with a PhD NB: in some cases and und[...]
Reconciling epistemic and demographic diversity Aim of the project To study how and under which conditions epistemic diversity in a demographically diverse group can lead to better collectively [...]
