activity
20212026
most citedE-commerce users' preferences for delivery options

29 citations · 30 across the 5 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Shared and structured inputs undermine collective random choice by reasoning AI agents

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

Random selection is widely used in resource allocation and auditing, making reliable implementation essential for AI-agent systems. Behavioural tests across six reasoning models un…

physics.soc-ph2026

Warned alike, AI agents avoid the less-crowded road while people take it

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

AI agents built on a few shared models increasingly act for many people. A shared forecast about others can align their choices and change how scarce capacity is allocated. We test…

physics.soc-ph2026

How a shared state is described determines whether AI agents synchronize

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

Language-model agents increasingly act in populations, where the outcome that matters is collective: whether they align, split or fail to coordinate. Each acts not on the world but…

econ.GN2023★ 29 cited

E-commerce users' preferences for delivery options

Yuki Oyama, Daisuke Fukuda, Naoto Imura +1

Many e-commerce marketplaces offer their users fast delivery options for free to meet the increasing needs of users, imposing an excessive burden on city logistics. Therefore, unde…

cs.DM2022★ 1 cited

A case study of the profit-maximizing multi-vehicle pickup and delivery selection problem for the road networks with the integratable nodes

Aolong Zha, Qiong Chang, Naoto Imura +1

This paper is a study of an application-based model in profit-maximizing multi-vehicle pickup and delivery selection problem (PPDSP). The graph-theoretic model proposed by existing…

physics.soc-ph2021

Model retraining and information sharing in a supply chain with long-term fluctuating demands

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

Demand forecasting based on empirical data is a viable approach for optimizing a supply chain. However, in this approach, a model constructed from past data occasionally becomes ou…

physics.soc-ph2021

Towards understanding network topology and robustness of logistics systems

Takahiro Ezaki, Naoto Imura, Katsuhiro Nishinari

Advanced integration of logistics systems has been promoted for the sake of competitiveness and sustainability. Such efforts will enable more globally optimal and flexible operatio…