Active Inferants: An Active Inference Framework for Ant Colony Behavior

Catalog Row75

Citation KeyFriedman2021ActiveInferantsActiveInference075

Paper FolderAvailable

DOI10.3389/fnbeh.2021.647732

Overview

Extracted from the local paper documentation when available.

This paper presents an active inference model of ant colony foraging behavior, utilizing a Markov decision process to simulate and analyze the dynamics of trail formation and decision-making in ant colonies. The study aims to integrate insights from behavioral modeling with ecological and evolutionary frameworks to enhance understanding of collective behavior in eusocial insects.

active inferenceant foragingMarkov decision processstigmergyT-mazecollective behaviorbehavioral modelingeco-evo-devo

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduced an active inference model specifically for ant colony foraging behavior.
Demonstrated the model's ability to replicate key phenomena such as trail formation in response to food discovery.
Integrated stigmergic regulation into the active inference framework, enhancing the understanding of collective decision-making.
Provided a versatile simulation model that can be adapted for various environmental and biophysical manipulations.

Methods / Techniques

Developed a Bayesian simulation model based on active inference principles.
Utilized a Markov decision process to simulate ant foraging behavior.
Focused on stigmergic outcomes using a single trail pheromone molecule.
Conducted in silico experiments to validate the model against established behavioral paradigms.

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.

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