This chapter introduces the problem catalog described in Chaps. 8 to 12 . This problem catalog is a compilation of research questions and concepts that arise from discussions among researchers in different fields, a distinctive strength of the activity of the art layer in the AFSA project. The problems are shown in a form that does not necessarily involve research results. From among the many research questions that have arisen, we have selected those that have relatively significant innovations in existing research and much conceptual meaning, in order to avoid research questions that can be solved quickly and have a long-term and wide-ranging impact on people. In this chapter, we discuss the value and feasibility of creating research questions without research results, making those questions public, and sharing them widely as knowledge in the whole academic area. We also propose a free-format description method that allows for diversity of granularity, abstractness, and rigidity in describing such problems.

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Catalog of Problems for Future Computer Science

  • Takeaki Uno

摘要

This chapter introduces the problem catalog described in Chaps. 8 to 12 . This problem catalog is a compilation of research questions and concepts that arise from discussions among researchers in different fields, a distinctive strength of the activity of the art layer in the AFSA project. The problems are shown in a form that does not necessarily involve research results. From among the many research questions that have arisen, we have selected those that have relatively significant innovations in existing research and much conceptual meaning, in order to avoid research questions that can be solved quickly and have a long-term and wide-ranging impact on people. In this chapter, we discuss the value and feasibility of creating research questions without research results, making those questions public, and sharing them widely as knowledge in the whole academic area. We also propose a free-format description method that allows for diversity of granularity, abstractness, and rigidity in describing such problems.