Journal of Artificial Intelligence, Machine Learning and Soft Computing

Abstract

This paper presents a comprehensive study on intelligent agents and multi-agent systems (MAS), emphasizing how multiple autonomous entities can interact, coordinate, negotiate, and solve complex problems collaboratively. As technology moves towards decentralization and distributed intelligence, MAS offers robust frameworks for achieving scalable, adaptive, and intelligent behavior in fields such as robotics, smart grid management, healthcare, and simulation. This paper explores the fundamental architecture of intelligent agents, their decision-making processes, learning abilities, and the underlying mechanisms that allow effective multi-agent interaction. The discussion includes negotiation models, coordination strategies, communication protocols, and conflict resolution methods. Furthermore, this work highlights real-world applications and future directions for MAS in evolving technology landscapes.

 Keywords: Intelligent Agents, Multi-Agent Systems, Autonomous Agents, Coordination, Negotiation, Distributed AI, Swarm Robotics, Agent-Based Simulation, MAS Applications