ADAS: Research Paper on Meta-Agent Programming for Automated Design of Agentic Systems

This research paper focus on ADAS (Automated Design of Agentic Systems) a research area which aims to automatically create powerful agentic system designs, including inventing novel building blocks and/or combining them in new ways. This Research paper further demonstrate that there is an unexplored yet promising approach within ADAS where agents can be defined in code and new agents can be automatically discovered by a meta agent programming ever better ones in code. including inventing novel building blocks and/or combining them in new ways. Utilising a unique Meta Agent Search algorithm.

Key highlights include its ability to invent powerful agents and transfer solutions across domains, outperforming traditional hand-designed methods. This research is valuable for users needing innovative solutions in dynamic problem-solving. This approach marks a significant leap in the development of intelligent systems, combining creativity and efficiency.

Location : Online, Global

Categories : Machine Learning

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