MIAI stands for "Multi-Agent Artificial Intelligence," and it refers to a field of study and practice within artificial intelligence that focuses on developing intelligent systems consisting of multiple autonomous agents working together to achieve specific goals.
In MIAI, each agent possesses its own individual goals, knowledge, reasoning capabilities, and decision-making abilities. These agents are capable of communicating, coordinating, and collaborating with each other, either through predefined protocols or by dynamically forming alliances and coalitions, in order to achieve the desired outcomes. MIAI systems aim to create intelligent systems that can perform complex tasks more efficiently by leveraging the strengths and expertise of multiple agents.
The agents in MIAI can be human-like, software-based, or physical robots, and they can act in various roles such as competitors, teammates, coordinators, or opponents. Some common applications of MIAI include resource allocation, task allocation, collaborative decision-making, distributed problem-solving, and negotiation.
MIAI combines concepts and techniques from various disciplines such as machine learning, game theory, optimization, agent-based modeling, and distributed computing. Researchers and practitioners in MIAI strive to develop algorithms, methodologies, and frameworks that allow agents to reason, learn, adapt, and improve their performance over time in complex, dynamic, and uncertain environments.
Overall, MIAI explores how multiple intelligent agents can interact and coordinate effectively to achieve specific objectives, offering a promising approach to solving complex problems in various domains.
