An agent-based collaborative information processing system for mixed reality applications — Part B: Agent-based collaborative information processing and coordination

This paper mainly presents the system architecture of an agent-based collaborative information processing in mixed reality applications. We model system elements as agents with different processes, data, and applications. Various types of agents and mixed-agent groups are discussed, and the combination of agents as agent-groups are designed to perform the tasks including sensing, user-identification, feature learning and target of interest differentiation, 3D modeling, mixed reality fusion, and interaction. We design an agent-based collaboration strategy with concurrent operation coordination using a serial logic scheduling strategy. The integrity of the system and the correctness of scheduling is guaranteed by using lock-based coordination with timeouts strategy.