Solving Complex Dental Sciences Tasks by Implementing a Mixture of Collaborative Autonomic Specialized Expert AI Agents.

The whole is greater than the sum of its parts. Aristotle.

Collaborative multi-agent systems (CMAS) involve multiple autonomous agents interacting within a shared environment to achieve individual or collective goals, leveraging their abilities to collaborate, communicate, and coordinate. Each agent in a CMAS is capable of perceiving its environment, processing information, and taking decisions and actions based on predefined rules or learned behaviors. The system's overall performance emerges from the interactions among agents, often employing strategies from distributed artificial intelligence. Applications of CMAS span various complex problem-solving tasks, where the combined effort of multiple agents can outperform single-agent systems in terms of efficiency, robustness, and scalability. CMAS are also observable, which is essential for explainability required by health sciences. The impact of implementing CMAS systems on Dental Sciences and Dental Practices will reshape the future of AI in Dentistry.