A Systematic Mapping Study on Automated Negotiation for Autonomous Intelligent Agents

Abstract

Autonomous intelligent agents are known as artificial intelligence software entities that can act on their own and can take decisions without any human intervention. The communication between such systems to reach an agreement for problem-solving is known as automated negotiation. This study aims to systematically identify and analyze the literature on automated negotiation. For this purpose, we performed a systematic mapping study (SMS) starting from 73,760 potentially relevant studies. Through a precise selection procedure, we identified 53 primary studies, published from the year 2000 onward, which were analyzed by applying a rigorous classification framework. As a result, we provide an up-to-date map of the state-of-the-art research in the automated negotiation domain. We also provide a replication package to help researchers replicate and verify our systematic mapping study. The results and findings will benefit researchers and practitioners to identify the research gap and conduct further research to bring dedicated solutions for automated negotiation.