Group decision making: a computational model and the brain imaging

2016 Fiscal Year Final Research Report

• Project/Area Number: 25700016
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Cognitive science
• Research Institution: Advanced Telecommunications Research Institute International
• Principal Investigator: YOSHIDA Wako 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 主任研究員 (30379599)
• Research Collaborator: Thierry Nathan 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 学外実習生 ; Mirano Geronimo 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 学外実習生 ; Wang Oliver 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 学外実習生 ; Au Louisa 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 学外実習生 ; Nord Claire 株式会社国際電気通信基礎技術研究所, 脳情報通信総合研究所, 学外実習生
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: 意思決定 / 計算モデル / ニューロイメージング

Outline of Final Research Achievements

The observation of others’ behaviour is an important means by which we can learn about the world and communicate with others. We propose a new observational learning model in which individuals use not only information about observed choices themselves, but also the time taken to make them, allowing them to make inferences about others uncertainty. To test our model, we studied behavioural and brain imaging data (fMRI) during subject pairs performing a social two-armed bandit task by observing each other. We show that this model efficiently learns observed values and describes the behaviour of subjects well. From the model-based imaging analysis, we found that they have a convergent representation in lateral orbitofrontal cortex, suggesting this region is central to the social learning network.

Free Research Field

計算論的認知科学