very important also for future generations in managing and inheriting CPR. A study was conducted on the CPR case of the village fishery managed by the Jongdal-ri Fishing Village Cooperative of Jeju Special Self-governing Province. The eight principles presented by Ostrom (1990) as the designed principles of sustainable CPR, that is to say, Clearly defined boundaries, Congruence between appropriation and provision rules and local conditions, Collective-choice arrangements, Monitoring, Graduated sanctions, Conflict-resolution mechanisms, Minimal recognition of rights to organize, and Nested enterprises, were analyzed. It was confirmed that the object case, Jongdal-ri Fishing Village Cooperative was managed based on these principles. Autonomous management rules are established by each fishing village cooperative community to fit their respective characteristics. Besides mere establishment of the rules, these rules should be preferentially be put into practice. The Jongdal-ri Fishing Village Cooperative successfully put them into practice, and was designated as the most superior fishing village cooperative community successively for three years. Collection was prohibited during a closed season for preservation of resources, and those of which the body length was shorter than that specified in the rules were not caught. That is to say, communities can sustainably manage CPR by complying with the conditions to be sustainable as well as following and putting in practice the rules, providing a CPR management system for future generations.

For effective human-robot interaction, robots need to understand the current situation context well, but also the robots need to transfer its understanding to the human participant in efficient way. The most convenient way to deliver robot’s understanding to the human participant is that the robot expresses its understanding using voice and natural language. Recently, the artificial intelligence for video understanding and natural language process has been developed very rapidly especially based on deep learning. Thus, this paper proposes robot vision to audio description method using deep learning. The applied deep learning model is a pipeline of two deep learning models for generating natural language sentence from robot vision and generating voice from the generated natural language sentence. Also, we conduct the real robot experiment to show the effectiveness of our method in human-robot interaction.