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Detail
Journal Article
AI Bots를 위한 멀티에이전트 협업 기술 동향
- Issue Date
- 2022-12
- Citation
- 전자통신동향분석, v.37, no.6, pp.32-42
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- Recently, decentralized approaches to AI (artificial intelligence) development, such as federated learning are drawing attention as AI development’s cost and time inefficiency increase due to explosive data growth and rapid environmental changes. Collaborative AI technology that dynamically organizes collaborative groups between different agents to share data, knowledge, and experience and uses distributed resources to derive enhanced knowledge and analysis models through collaborative learning to solve given problems is an alternative to centralized AI. This article investigates and analyzes recent technologies and applications applicable to the research of multi-agent collaboration of AI bots, which can provide collaborative AI functionality autonomously.
- KSP Keywords
- Analysis Model, Collaborative Learning, Distributed resource(DR), Environmental change, Federated learning, Multi-agent collaboration, Technologies and applications, artificial intelligence
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
