[2O5-E-3] Agents: reasoning and integration

[2O5-E-3-02] An Approach to Knowledge Graph Completion based on Discussion Agents using IBIS Structure

〇Xiangyu Zhang¹, Shun Shiramatsu² (1. Department of Computer Science, Faculty of Engineering, Nagoya Institute of Technology, 2. Department of Computer Science, Graduate School of Engineering, Nagoya Institute of Technology)

Keywords:discussion agent, knowledge graph completion challenge, interpretability

Knowledge Graph Completion Challenge 2018, a competition of interpretable AI systems to solve crime story, was held and we participated in it. Our approach is based on discussion agents using IBIS (issue-based information system), a kind of discussion structures. This paper is a part achievement of the design architecture. We design two types of agents: a discussion agent and a facilitation agent. The discussion agents generate hypotheses about the criminate. The facilitator agent ask questions to clarify the detail of the hypotheses. To manage the discussion on the hypotheses, IBIS structure is suitable because it has better interpretability. This approach based on the hypothesis generation has a possibility to be also utilized in the real-world discussion support.