AI Orchestration: coordinate smart agents together
Problem Statement:
This research focuses on the orchestration of smart agents to work collaboratively and efficiently. AI orchestration involves coordinating multiple intelligent agents to achieve complex tasks, leveraging their individual capabilities while ensuring seamless interaction and cooperation. The study will address the challenges of synchronization, communication, and optimization in multi-agent systems. There are different AI orchestration tools out there but which one is the best?
Tasks:
- Literature Review: Conduct an extensive review of existing research on AI orchestration and multi-agent systems.
- Define Framework: Develop a framework for orchestrating smart agents, detailing the communication protocols and coordination mechanisms.
- Algorithm Development: Create algorithms that facilitate effective collaboration and task distribution among smart agents.
- Implementation: Implement the framework and algorithms in a simulated environment to test their functionality.
- Performance Analysis: Evaluate the performance of the orchestrated smart agents in various scenarios, focusing on efficiency and effectiveness.
- Case Studies: Explore real-world applications of AI orchestration in different sectors, such as healthcare, logistics, and finance.
- Scalability: Investigate the scalability of the orchestration framework to handle increasing numbers of smart agents.
WORK:
10% Theory, 70% Simulations, 20%Writing
Contact
Alessandro Chiumento (a.chiumento@utwente.nl), room ZI 5015