29 citations · 30 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…