A real-time agent model in an asynchronous-object environment

9Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To build intelligent control systems for real-life applications, we need to design software agents which combine cognitive abilities to reason about complex situations, and reactive abilities to meet hard deadlines. We propose an operational agent model which mixes AI techniques and real-time performances. Our model is based on an ATN (Augmented Transition Network) to dynamically adapt the agent’s behavior to changes in the environment. Each agent uses a production system and is provided with a synchronization mechanism to avoid the possible inconsistencies of the asynchronous execution of several rule bases. Our agents communicate by message-passing and are implemented in an asynchronous-object environment. We report on the use of our agent model in intensive care patient monitoring.

Cite

CITATION STYLE

APA

Guessoum, Z., & Dojat, M. (1996). A real-time agent model in an asynchronous-object environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1038, pp. 190–203). Springer Verlag. https://doi.org/10.1007/bfb0031856

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free