Development of algorithm for quantitative data on animal behavior and analysis on long term behavior

2016 Fiscal Year Final Research Report

• Project/Area Number: 15H06830
• Research Category: Grant-in-Aid for Research Activity Start-up
• Allocation Type: Single-year Grants
• Research Field: Ecology/Environment
• Research Institution: National Institute of Informatics
• Principal Investigator: Abe Masato 国立情報学研究所, 情報学プリンシプル研究系, 特任研究員 (60758027)
• Project Period (FY): 2015-08-28 – 2017-03-31
• Keywords: 社会性昆虫 / 社会ネットワーク / 個体間相互作用 / 動物行動 / 探索行動

Outline of Final Research Achievements

In this research project, I focused on social insects, Diacamma sp., and constructed an experimental setup that the position and angle of each individual can be observed at 1 frame per second by attaching tags on ant individuals and using tracking software. Then, I revealed how the colony can be integrated and can exhibit collective behavior. Furthermore, I theoretically analyzed searching behavior in animals and clarified the condition for evolution of sexual dimorphism in searching behavior.

Free Research Field

行動生態学、複雑系科学