Transactions of the Japanese Society for Artificial Intelligence

Aims & Scope✦ Inferred from recent articles

This journal publishes research on artificial intelligence, focusing on areas such as machine learning, natural language processing, and network analysis. Recent articles explore topics including designing matching mechanisms, analyzing technology diffusion, developing node embedding methods for signed directed networks, and applying approximate master equations to model dynamics on complex networks. Other research covers automatic evaluation of dialogue systems, joint decision-making dialogue systems, constructing skill networks from work history, analyzing bipartite social network structures, formalizing neural networks with typed petri nets, developing spoken dialogue systems for therapist interview practice, annotating embodied actions in conversations, and enhancing dialogue system impressions using reinforcement learning from AI feedback.

AI-summarised from recent articles · verify on the publisher page

Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.

Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.

Subject Classification