Agent-Based Modeling Meets Gaming Simulation: Perspective on Future Collaborations -- A Horizon of Simulation and Gaming: Difficulties and Expectations of Facilitating Science, Technology, and Practice -- The U-Mart Project: New Research and Education Program for Market Mechanism -- The Gaming of Firm Strategy in High-Tech Industry: Human Agents and Artificial Intelligence Agents Intermingled in a Simulation Model -- Simulation Analysis Using the Garbage Can Model for Designing a Citizen Participation System for Comprehensive Municipal Planning -- Exploring Business Gaming Strategies by Learning Agents -- Business Simulator Development Cycle with Both Human and Computer Players -- Analyzing Barnga Gaming Simulation Using an Agent-Based Model -- User Type Identification in Virtual Worlds -- A Model for Collusive Tendering Based on a Multiagent Approach -- An Agent-Based Simulation Model of Disruptive Technologies -- Agent-Based Simulation on the Diffusion of Research and Development for Environmentally Conscious Products -- Evaluation of the Dealings Form in an Artificial Fruit and Vegetable Market II.This collection of excellent papers cultivates a new perspective on agent-based social system sciences, gaming simulation, and their hybridization. Most of the papers included here were presented in the special session titled Agent-Based Modeling Meets Gaming Simulation at ISAGA2003, the 34th annual conference of the International Simulation and Gaming Association (ISAGA) at Kazusa Akademia Park in Kisarazu, Chiba, Japan, August 25–29, 2003. This post-proceedings was supported by the twenty-?rst century COE (Centers of Excellence) program Creation of Agent-Based Social Systems Sciences (ABSSS), established at the Tokyo Institute of Technology in 2004. The present volume comprises papers submitted to the special session of ISAGA2003 and provides a good example of the diverse scope and standard of research achieved in simulation and gaming today. The theme of the special session at ISAGA2003 was Agent-Based Modeling Meets Gaming Simulation. Nowadays, agent-based simulation is becoming very popular for modeling and solving complex social phenomena. It is also used to arrive at practical solutions to social problems. At the same time, however, the validity of simulation does not exist in the magni?cence of the model. R. Axelrod stresses the simplicity of the agent-based simulation model through the “Keep it simple, stupid” (KISS) principle: As an ideal, simple modeling is essential.