Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems
Sabbatini F, Sirocchi C, Calegari R (2024)
Publication Type: Conference contribution, Original article
Publication year: 2024
Publisher: CEUR Workshop Proceedings
Series: WOA 2024 25th Workshop "From Objects to Agents 2024"
City/Town: Aachen
Book Volume: 3735
Conference Proceedings Title: Proceedings of the 25th Workshop "From Objects to Agents"
Event location: Bard
URI: https://ceur-ws.org/Vol-3735/paper_17.pdf
Open Access Link: https://ceur-ws.org/Vol-3735/paper_17.pdf
Abstract
In multi-agent systems, understanding the similarities and differences in agents’ knowledge is essential
for effective decision-making, coordination, and knowledge sharing. Current similarity metrics like
cosine similarity, Jaccard similarity, and BERTScore are often too generic for comparing knowledge
bases, overlooking critical aspects such as overlapping and fragmented boundaries, and varying domain
densities. This paper introduces new specific similarity metrics for comparing knowledge bases, represented
via symbolic knowledge. Our method compares local explanations of individual instances, preserving
computational resources and providing a comprehensive evaluation of knowledge similarity. This approach
addresses the limitations of existing metrics, enhancing the functionality and efficiency of multi-agent
systems.
Authors with CRIS profile
Involved external institutions
University of Bologna / Università di Bologna
Italy (IT)
University of Urbino "Carlo Bo" / Università degli Studi di Urbino "Carlo Bo" (UNIURB)
Italy (IT)
Italy (IT)
University of Urbino "Carlo Bo" / Università degli Studi di Urbino "Carlo Bo" (UNIURB)
Italy (IT)
How to cite
APA:
Sabbatini, F., Sirocchi, C., & Calegari, R. (2024). Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems. In Marco Alderighi, Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi (Eds.), Proceedings of the 25th Workshop "From Objects to Agents". Bard, IT: Aachen: CEUR Workshop Proceedings.
MLA:
Sabbatini, Federico, Christel Sirocchi, and Roberta Calegari. "Symbolic Knowledge Comparison: Metrics and Methodologies for Multi-Agent Systems." Proceedings of the 25th Workshop “From Objects to Agents” WOA, Bard Ed. Marco Alderighi, Matteo Baldoni, Cristina Baroglio, Roberto Micalizio, Stefano Tedeschi, Aachen: CEUR Workshop Proceedings, 2024.
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