A foraging environment for OpenAI Gym
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Updated
Mar 5, 2017 - Python
A foraging environment for OpenAI Gym
A dynamical systems approach to adaptive patch foraging by using Neural Differential Equations.
Ant foraging simulation
Study on the role of body size, species identity, and functional traits on foraging area of herbivorous reef fishes
statistical analyses for Psychological Research and then Cognitive Processing paper
Simulation of evolutionary branching under optimal resource choice
Quantify the diet composition in % by mass of prey found by analysing the content of samples (e.g. scats, stomachs), identify diet clusters, and measure interspecific overlap.
A Python package to simulate multi-agent cognitive association tasks 🤖 🧠 👥
Forager is a web based application for mapping publicly accessible foods.
Identification of isotopic niches by considering both intra- and interindividual variability (a novel hierarchical Basyesian model). Measure the isotopic niche overlap. The method is ajusted to isotopic data with intra-individual variability (e.g. measures on whiskers, feathers, tooth).
An Agent-Based Modelling framework in JAX
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