BIT-XA1: Distributed AI Swarm Coordination — Stage 0–2 Benchmark (Simulation Study)

Sandbox simulation comparing Central Planner, Distributed Consensus, and BIT architecture under agent failure and K0 blackout conditions. 100 agents, toy model. Key findings: BIT communication advantage confirmed; LOE reduces duplicate work 77%; 0.616 not special in LOE mechanism; plateau is artifact not floor.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-06-26
DOI
https://doi.org/10.5281/zenodo.20874246
Primary Topic
Multi-Agent Systems and Negotiation
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

BIT-XA1: Distributed AI Swarm Coordination — Stage 0–2 Benchmark (Simulation Study)

Bùi Quang Trịnh
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
preprint

BIT-XA1: Distributed AI Swarm Coordination — Stage 0–2 Benchmark (Simulation Study)

Bùi Quang Trịnh
preprint en

Abstract

Sandbox simulation comparing Central Planner, Distributed Consensus, and BIT architecture under agent failure and K0 blackout conditions. 100 agents, toy model. Key findings: BIT communication advantage confirmed; LOE reduces duplicate work 77%; 0.616 not special in LOE mechanism; plateau is artifact not floor.

Zenodo (CERN European Organization for Nuclear Research)
Tinker Air Force Base (US)
Sustainable cities and communities
Multi-Agent Systems and Negotiation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.