Addressing real-time constraints in the design of autonomous agents
Real-Time Systems
A survey of research in deliberative real-time artificial intelligence
Real-Time Systems
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Fixed priority pre-emptive scheduling: an historical perspective
Real-Time Systems - Special issue: history of real-time systems
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
An architecture for Real-Time Reasoning and System Control
IEEE Expert: Intelligent Systems and Their Applications
Real-time scheduling in distributed multi agent systems
Real-time scheduling in distributed multi agent systems
Managing online self-adaptation in real-time environments
IWSAS'01 Proceedings of the 2nd international conference on Self-adaptive software: applications
Hybrid multi-agent architecture as a real-time problem-solving model
Expert Systems with Applications: An International Journal
A meta-reasoning model for hard real-time agents
CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence
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Over the last few years more complex and flexible techniques have been needed to develop hard real-time systems. The agent paradigm seems to be an appropriate approach to be applied in this area. ARTIS is an agent architecture suitable for hard real-time agents. This paper is focused on an extension of the control module of ARTIS agents that provides a soft real-time control architecture inside of a hard real-time agent. This extension incorporates a deliberative component that allows to change the control module policy depending on the data environment and the reactivity degree of the agent.