Title :
Emergent message structure with sequential flow by adaptive multi-agent
Author_Institution :
Osaka Inst. of Technol., Japan
Abstract :
This paper presents a crossword puzzle method using a novel valuable structure with a sequential flow by heterogeneous genetic adaptive agents with tags in generating an emergent message structure, which have a refined semantic network in the distributed artificial intelligence field. Moreover, the author shows a multi-elements complex message generation scheme and a conversion scheme from a public message to a secret message.
Keywords :
message passing; multi-agent systems; semantic networks; adaptive multiagent; crossword puzzle method; distributed artificial intelligence; emergent information technology; emergent message structure; message generation; semantic network; sequential flow;
Conference_Titel :
SICE 2004 Annual Conference
Conference_Location :
Sapporo
Print_ISBN :
4-907764-22-7
