A consensus learning approach based on basic-organization-structure
Changyin Wang, Li Yao, Wenwei Chen, Yong Gong, Lei Chen · 2003
More and more researchers of distributed artificial intelligence (DAI) agree that there is a strong need to equip multi-agent systems with a learning mechanism so as to adapt them to a complex environment. A consensus learning approach based on basic-organization-structure (BOS) is proposed in this paper, which can improve the problem-solving abilities of individual agents and the overall system in complex multi-agent systems. Using this learning approach, agents can exchange their ideas with each other and enrich their knowledge about the domain problem. Finally, we demonstrate this consensus learning approach by an example.