Hideyuki Mizuta

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Using simulation and analysis we show that agent-based auction-cleared automated markets can be stabilized using only completely myopic agents (without value traders), if these na¨ıve agents are provided with a price signal that reflects order book information. This demonstrates that information in the order book is extremely valuable, that prediction can(More)
There are many studies on ABS and several frameworks for ABS have already been published. However, there are few frameworks that can enable agent-based simulation using large numbers of agents. We have been developing a Java-based platform for Massive Agent-Based Simulation (MABS) called "Zillions of Agents-based Simulation Environment" or ZASE. The purpose(More)
Modeling how marketing actions in various channels influence or cause consumer purchase decisions is crucial for marketing decision-making. Marketing campaigns stimulate consumer awareness, interest and help drive interactions such as the browsing of product web pages, ultimately impacting an individual's purchase decision. In addition, some successful(More)
The need to understand dynamic behavior in auctions is increasing with the popularization of online auctions. Applications include designing auction mechanisms, bidding strategies, and server systems. We describe simulations of a typical online auction, where the duration is fixed, and the second-highest price is continuously posted and determines the(More)
The need for new theoretical and experimental approaches to understand dynamic and heterogeneous behavior in complex economic and social systems is increasing recently. An approach using the agent-based simulation and the artificial market on the computer system is considered to be an effective approach. The computational simulation with dynamically(More)
In recent years the importance of a large-scale Agent-Based Simulation(ABS) that can handle large complex systems is increasing. We developed a large-scale ABS framework on BlueGene, which is a multi-node supercomputer. The ABS processes the agents' communications. When the number of transmissions among the agents is large, the transmission costs seriously(More)
The need for new theoretical and experimental approaches to understand dynamic and heterogeneous behavior in complex economic and social systems is increasing. Computational and gaming simulations are expected to be able to reproduce complex phenomena in economics, and helps us to experiment with various controlling methods, to evaluate systematic designs,(More)
Resilient transportation systems enable quick evacuation, rescue, distribution of relief supplies, and other activities for reducing the impact of natural disasters and for accelerating the recovery from them. The resilience of a transportation system largely relies on the decisions made during a natural disaster. We developed an agent-based traffic(More)
In this paper, we consider an agent-based simulation of dynamic enterprise organization and communication networks. Along with recent progress and popularization of Information Technology, social sciences have been experiencing great advances in survey methodology. It has become possible for researchers to utilize huge social data with computers. However,(More)