Active Inference · Paper · 2024

Enhancing Population-based Search with Active Inference

Documentation folder for catalog row 34 · Canonical work page

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Corrected source review

The maintained research fork validates the exact retained graphs, methods, run membership and paired denominators, with a separate versioned seeded protocol. The scalar-belief cancellation and elitist comparator confound are explicit. Historical Table 1 graph/run membership remains unrecovered; the retained small comparison and new protocol do not reconstruct it.

This review is bound to the linked source commit. Current summaries, downloads and extracted text retain their own source provenance; these corrections do not recover missing historical evidence or constitute a newly deposited publication edition.

Read the pinned source correction (reviewed 2026-11-05).

Folderpapers/2024_PopulationSearch/

Overview

Curated abstract when available.

We propose integrating Active Inference into population-based metaheuristics to enhance performance through anticipatory environmental adaptation. Demonstrated with Ant Colony Optimization (ACO) on the Travelling Salesman Problem (TSP), experimental results indicate Active Inference yields improved solutions with marginal increase in computational cost, with performance patterns relating to graph topology.

Overview source: Curated paper metadata.

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