Intelligent agents Model with JADE for scheduling analysis and correction of Real-Time Systems

Context-dependent Agents for Real-time Scheduling in Manufacturing Systems

Autonomous distributed manufacturing systems(ADMS) consist of multiple intelligent components with each component acting according to its own judgments. The ADMS objective is to realize more agile and adaptive manufacturing systems. This paper presents the introduction of context-dependent agents (CDAs) in ADMS that switch strategies depending on system conditions to achieve better performance ...

Real-time systems - scheduling, analysis, and verification

A Time-Driven Scheduling Model for Real-Time Operating Systems

Process scheduling in real-time systems has almost invariably used one or more of three algorithms: fixed priority, FIFO, or round robin. The reasons for these choices are simplicity and speed in the operating system, but the cost to the system in terms of reliability and maintainability have not generally been assessed. This paper originates from the notion that the primary distinguishing char...

Reactive/Anytime Agents — Towards Intelligent Agents with Real-Time Performance

To face the requirements of complex and time-critical applications, several systems for reasoning about time and in time, have been proposed by the AI community: reactive systems provide reactivity to their environment at the cost of short-sighted decision making, and conversely, deliberative systems involve more sophisticated decision making at the cost of response times. Recently, several AI ...

Real-Time Scheduling for Distributed Agents

Providing an environment for a software agent to execute is very similar to building an operating system for the execution of general purpose applications. In the same fashion that an operating system provides a set of services for the execution of a user request, an agent framework provides a similar set of services for the execution of agent actions. Such services include the ability to commu...