Conducting Systematic Literature Reviews is a laborious process. The study ‘System for systematic literature review using multiple AI agents: Concept and an empirical evaluation’ introduces an AI agent-based model to fully automate SLR.

• A user interface that produces search strings for retrieving academic papers.
• Inclusive and exclusive filtering processes hone in on relevant titles.
• Automated summarization of abstracts while prioritizing directly related papers.
• Autonomous deep analysis of selected papers based on predefined questions.

The paper’s significance lies in the time and effort savings for researchers across various domains. Through AI agents, the accessibility and efficiency of conducting comprehensive literature reviews are greatly enhanced, which can drive quicker advancements and knowledge dissemination.