Year: 2023 | Month: December | Volume: 10 | Issue: 12 | Pages: 883-888
DOI: https://doi.org/10.52403/ijrr.20231288
AI and Multi-Agent Systems: Collaboration and Competition in Autonomous Environments
Deekshitha Kosaraju
Independent Researcher, Texas, USA
ABSTRACT
Cutting edge technology in intelligence involves multi agent systems (MAS) which allow autonomous agents to interact in shared environments by either working together or competing to achieve common or individual goals. This study delves into the aspects of cooperation and rivalry in MAS and illustrates their application in practical situations, like autonomous vehicles, robot’s interactions, and financial settings. In addition to that we explore the obstacles like coordination, learning and communication that come up while creating MAS frameworks and how sophisticated algorithms like deep reinforcement learning help in running these agents. By tackling both competitive interactions within MAS our goal is to offer a thorough grasp of the possible uses and upcoming paths, in this area. Emerging technologies like OpenAIs agent models play a significant role in showcasing the changing landscape of MAS and its transformative effects on various industries, like healthcare and defense.
Keywords: Multi-Agent Systems (MAS), Autonomous Agents, Collaboration, Competition, Deep Reinforcement Learning, Game Theory, Distributed AI, Swarm Intelligence, Agent-Based Modeling, AI Coordination, Adversarial AI
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