Evaluation of intervention in a multiagent system, for example, when humans should
intervene in autonomous driving systems and when a player should pass to teammates for a …

Estimating individual treatment effects from observational data is a fundamental problem in
causal inference. To accurately estimate treatment effects in the spatial domain, we need to …

Evaluation of intervention in a multi-agent system, eg, when humans should intervene in
autonomous driving systems, is challenging in various engineering and scientific fields …

Overtourism has become a significant concern in many popular travel destinations around
the world. As one of considerable approaches to handle the overtourism issues, congestion …

Identifying predictive biomarkers, which forecast individual treatment effectiveness, is crucial
for personalized medicine and informs decision-making across diverse disciplines. These …

Multi-agent crowd simulations are used to analyze crowd flows. However, there is a critical
problem that the computational time increases with the number of agents because these …

473 意思決定のための因果推論─ 過去データを用いた反事実予測の必要性と困難と方法─(
counterfactual) な推論が必要となるからである. この要請に対応するのが因果推論である …

Aspect-category sentiment classification (ACSC) aims to identify the sentiment polarities
towards the aspect categories mentioned in a sentence. Because a sentence often mentions …