This paper describes an agent interface called Smart Time Management (STM).
Open image in new window Fig. 3 Netlogo Agent Interface (represents initial agent randomized dispersion).
The approach proposed represents each agent architecture including Agent communication interface, Reasoning, Modeling, domain knowledge set, Execution and human agent interface units.
There are several types of autonomous agent: surveillance sensor agents, a fusion center agent, a local fusion agent, interface agents, record agents, planning agents, etc. Autonomous agents differ in their ability to carry out a specific surveillance task.
The first part is a simple language-independent agent interface that enables agents to visit locations with different types of middlewares.
A model of socially intelligent tutorial dialog was developed based on politeness theory, and implemented in an agent interface within an online learning system called virtual factory teaching system.
The system contains five main agents: interface, parameter data, reaction kinetic analysis, simulation and optimization.
The proposed system architecture includes four types of agents: interface, authentication, authorization, and service provider agents (SPAs).
The architecture consists of three layers: a low-level internetworking communication-support layer; a coordination layer – managing inter-agent cooperation through intelligent conversation/communication mechanisms; and an agent layer consisting of five categories of agents: interface, collaboration, knowledge management, application and resource agents.
In the last step, during commissioning of the real system, the virtual components are replaced by a module syncing the signals of the virtual agents interface with a PLC providing the same interface for the real system, effectively having the real system now being controlled by virtual agents.
