Emergent message structure with sequential flow by adaptive multi-agent
Makoto Katoh · Society of Instrument and Control Engineers of Japan · 2004
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.