Authors:
Pierangelo Dell’Acqua
1
;
Anna Lombardi
1
and
Luís Moniz Pereira
2
Affiliations:
1
Linköping University, Sweden
;
2
Universidade Nova de Lisboa, Portugal
Keyword(s):
Behaviour networks, hybrid control systems, action selection, control architectures for autonomous agents.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Enterprise Information Systems
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge-Based Systems Applications
;
Software Agents for Intelligent Control Systems
Abstract:
We present an approach to model adaptive, dynamic hybrid control systems based on behaviour networks. We extend and modify the approach to behaviour networks with integrity constraints, non-ground rules, internal actions, and modules to make it self-adaptive and dynamic. The proposed approach is general, reconfigurable, robust, and suitable for environments that are dynamic and too complex to be entirely predictable, the controlling system having limited computational and time resources.