Paper Info
Title
Dynamic self-control of autonomous agents
Abstract
Being able to trust in a system behavior is of prime importance, particularly within the context of critical applications as embedded or real-time systems. We want to ensure that a multiagent system has a behavior corresponding to what its developers expect. The use of standard techniques to validate a system does not guarantee it against the occurence of errors in real condition of execution. So, we propose an additional approach of dynamic self-monitoring and self-regulation such that an agent might control, in real condition, its own behavior. Our approach consists in providing the agents with a set of laws that they have to respect throughout their execution. This paper presents a framework which generates agents capable of self-control from an agent model, a behavior description and laws. For that, the framework modifies the agents program by injecting, some checkpoints allowing the detection of particular events. The laws are represented in the agents by Petri nets connected to the checkpoints in order to verify the agreement between their behavior and the laws. The principles of the framework are illustrated on an example.
Year
DOI
Venue
2005
10.1007/11678823_3
ProMAS
Keywords
Field
DocType
agents program,real condition,dynamic self-control,agent model,behavior description,autonomous agent,own behavior,critical application,multiagent system,system behavior,additional approach,real-time system,real time systems,self control,petri net
Prime (order theory),Autonomous agent,Intelligent agent,Petri net,Simulation,Computer science,Real-time operating system,Agent behavior,Autonomous system (mathematics),Self-control,Distributed computing
Conference
Volume
ISSN
ISBN
3862
0302-9743
3-540-32616-2
Citations 
PageRank 
References 
2
0.41
8
Authors
3
Name
Order
Citations
PageRank
Caroline Chopinaud1203.58
Amal El Fallah Seghrouchni218420.37
Patrick Taillibert37715.76