Distributed autonomous elements like sensors networks, intelligent devices etc. are nowadays widely used. Here, one of the most difficult task is the automatic re-planning when something goes wrong: new planning algorithms have to be coped with existing ones in order to fulfill performance and soundness requirements. In this work we present a modelling methodology and a planning technique based on multi-Agent models. The planning methodology exploits both classical and a new counter-example based approaches in order to build an effective multi-expert system able to face with increasing complexity of these systems, implementing procedures that make possible the reaching of desired goals within temporal constraints. © 2016 IEEE.
An Agent-Based Model for Autonomous Planning / Amato, Flora; Moscato, Francesco. - (2016), pp. 555-560. (Intervento presentato al convegno 10th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2016; Fukuoka Institute of Technology (FIT)Fukuoka; Japan; 6 July 2016 through 8 July 2016; Category number E5843; Code 125555) [10.1109/CISIS.2016.135].
An Agent-Based Model for Autonomous Planning
AMATO, FLORA;
2016
Abstract
Distributed autonomous elements like sensors networks, intelligent devices etc. are nowadays widely used. Here, one of the most difficult task is the automatic re-planning when something goes wrong: new planning algorithms have to be coped with existing ones in order to fulfill performance and soundness requirements. In this work we present a modelling methodology and a planning technique based on multi-Agent models. The planning methodology exploits both classical and a new counter-example based approaches in order to build an effective multi-expert system able to face with increasing complexity of these systems, implementing procedures that make possible the reaching of desired goals within temporal constraints. © 2016 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
