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DESIGN AND EXPERIMENTAL EVALUATION OF A MODULAR FACT-CENTERED ARCHITECTURE FOR MULTI-AGENT DIGITAL STREAM ANALYSIS

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Author :  Dilmurod Khujamberdiyev (1) and Odil Mamaraufov (2)

Affiliation :  (1) Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan; (2) Samarkand State University named after Sharof Rashidov, Samarkand, Uzbekistan

Country :  Uzbekistan

Category :  Computer Science & Information Technology

Volume, Issue, Month, Year :  17, 5, September, 2026

Abstract :


Digital services commonly record the same evolving incident several times and in different formats. We developed a fact-centered architecture that converts service requests, system logs and video-event summaries into a common evidence-bearing lifecycle managed by Insert, Link, Merge, Update and Close. The original 20,000-record NYC 311 run reduced active repository cardinality by 68.41%, but that reduction alone did not establish merge correctness. On a separate 300-pair consolidation audit, the refined matcher reached 100.0% precision, 99.33% recall and 99.67% F1. Tests on 2,000 BGL log lines produced 216 Updates, while 8,908 ETH trajectory observations produced 8,548 Updates. In a six-agent in-process retrieval test, contacting four agents preserved 97.87% Recall@5, reduced messages by 33.33%, and lowered measured query latency by 22.73% relative to broadcast. The experiments show that heterogeneous streams can share one traceable repository mechanism without discarding source evidence.

Keyword :  Multi-Agent Systems, Fact-Centered Architecture, Digital Stream Analysis, Evidence Traceability, Distributed Retrieval

Journal/ Proceedings Name :  Advanced Computing: An International Journal (ACIJ)

URL :  https://aircconline.com/acij/V17N5/17526acij01.pdf

User Name : Odil_A
Posted 24-10-2026 on 20:47:59 AEDT



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