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Chapter and Conference Paper
Real-time Adaptive Learning from Observation for RoboCup Soccer Agents
In this paper, a real-time adaptive learning system from observation by teammates’ behaviors and results from RoboCup soccer agents is proposed. The agent is required to adapt to its opponents in real time in ...
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Chapter and Conference Paper
Zeng01 Team Description: Formation Decision Method Using Game Theory
The combined team, Zeng01, have players developed by several subject of investigation. We have analyzed better player combination based on game theory. We look up the formation property through changing a oppo...
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Chapter and Conference Paper
Open Zeng: an Open Style Distributed Semi-Cooperative Team Development Project from Japan
The team Open Zeng is a quite interesting and unique project to study subjects on heterogeneous cooperative teamwork behavior. Twelve players from seven different university and institutions were gatherd and p...
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Chapter and Conference Paper
Linked99
Figure 1 describes the overview of our team’s system. The concept of our team is to employ simple, inexpensive robots and to control them by high-speed and actual vision feedback. The special hardware for colo...
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Chapter and Conference Paper
Zeng99: RoboCup simulation team with Hierarchical Fuzzy Intelligent Control and Cooperative Development
This paper discusses the design of the team Zeng99. The goal of team Zeng99 is to show a performance of Hierarchical Fuzzy Intelligent Control system in the field of multi agent problems. It worked well at Rob...