Overview
Extracted from the local paper documentation when available.
In this paper, we introduce an active inference model of ant colony foraging behavior, and implement the model in a series of in silico experiments. Active inference is a multiscale approach to behavioral modeling being applied across settings in theoretical biology and ethology. We specify and simulate a Markov decision process (MDP) model for ant colony foraging using the alternating T-maze...
active inferenceant foragingMarkov decision processstigmergyT-mazecollective behaviorbehavioral modelingeco-evo-devo
Use Notes
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Citation
Plain-text citation for quick reuse.
Friedman, Daniel Ari. 2021. Active Inferants: An Active Inference Framework for Ant Colony Behavior. Frontiers in Behavioral Neuroscience. DOI: 10.3389/fnbeh.2021.647732. URL: https://doi.org/10.3389/fnbeh.2021.647732.
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