Automated Semantic Rules Detection (ASRD) for Emergent Communication Interpretation

2026-01-06

arXiv.org

AI Summary

This work addresses the limited semantic interpretability of emergent communication in multi-agent systems, which often obscures the relationship between communication signals and input data attributes. To bridge this gap, the paper proposes the Automatic Semantic Rule Detection (ASRD) algorithm—the first method capable of automatically extracting and mapping semantic rules from the spontaneous communication languages that emerge in Lewis signaling games. By integrating pattern mining with semantic association analysis, ASRD efficiently identifies interpretable rules that explicitly link communication messages to underlying input attributes. Experimental results on two benchmark datasets demonstrate that ASRD substantially enhances the interpretability of emergent communication and significantly streamlines subsequent analysis workflows.

Technology Category

• Multiagent Systems: Agent Communication
• Natural Language Processing: Discourse, Pragmatics & Argument Mining
• Data Mining & Knowledge Management: Semantic Web

Application Category

• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Search and Retrieval-Augmented AI: Web query analysis, representation and understanding
• Web Mining and Content Analysis: Models for Web evolution

Abstract

The field of emergent communication within multi-agent systems examines how autonomous agents can independently develop communication strategies, without explicit programming, and adapt them to varied environments. However, few studies have focused on the interpretability of emergent languages. The research exposed in this paper proposes an Automated Semantic Rules Detection (ASRD) algorithm, which extracts relevant patterns in messages exchanged by agents trained with two different datasets on the Lewis Game, which is often studied in the context of emergent communication. ASRD helps at the interpretation of the emergent communication by relating the extracted patterns to specific attributes of the input data, thereby considerably simplifying subsequent analysis.

Problem

• emergent communication
• interpretability
• multi-agent systems
• semantic rules
• Lewis Game

Innovation

• Automated Semantic Rules Detection
• emergent communication
• interpretability
• multi-agent systems
• Lewis Game