Authors: Hung Du, Srikanth Thudumu, Rajesh Vasa, Kon Mouzakis

Published on: February 03, 2024

Impact Score: 8.45

Arxiv code: Arxiv:2402.01968

Summary

• What is new: This survey comprehensively combines context-aware systems with multi-agent systems for the first time, outlining a general process applicable across various domains.
• Why this is important: The integration of context-aware capabilities into multi-agent systems to deal with dynamic environments remains a challenge.
• What the research proposes: The paper proposes a general process model for integrating context-aware systems with multi-agent systems, detailed through various application domains.
• Results: It provides a pathway for future research and practical applications in enhancing autonomous agents’ intelligence and adaptability.

Technical Details

Technological frameworks used: General process model for context-aware multi-agent systems

Models used: Application of LLMs in dynamic scenarios, techniques from domains like autonomous driving and disaster relief

Data used: Varied datasets from application domains like utility management, supply chain, and human-AI interaction

Potential Impact

Autonomous driving, disaster relief organizations, utility and supply chain management companies, businesses involved in human-AI interactions

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