TY - CHAP
T1 - Multi-level modeling and distributed agent-based inference
T2 - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
AU - Prován, Gregory
PY - 2006
Y1 - 2006
N2 - We describe a framework for modeling and performing inference on complex systems, based on an Attributed Programmed Graph Grammar (APGG) meta-model. We outline this APGG framework, and how it can be used. In particular, show how we can use the underlying system structure as an organising principle for model specification and analysis. In addition, we examine the attribution we assign to the higher-level systems models, namely a constraint-based language, and how a distributed agent-based approach can regulate inference performed asynchronously on several multi-level models.
AB - We describe a framework for modeling and performing inference on complex systems, based on an Attributed Programmed Graph Grammar (APGG) meta-model. We outline this APGG framework, and how it can be used. In particular, show how we can use the underlying system structure as an organising principle for model specification and analysis. In addition, we examine the attribution we assign to the higher-level systems models, namely a constraint-based language, and how a distributed agent-based approach can regulate inference performed asynchronously on several multi-level models.
UR - https://www.scopus.com/pages/publications/40949119923
U2 - 10.1109/ICECCS.2006.1690371
DO - 10.1109/ICECCS.2006.1690371
M3 - Chapter
AN - SCOPUS:40949119923
SN - 9780769525303
T3 - Proceedings of the IEEE International Conference on Engineering of Complex Computer Systems, ICECCS
SP - 217
EP - 226
BT - Proceedings - 11th IEEE International Conference on Engineering of Complex Computer Systems, ICECCS 2006
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 August 2006 through 17 August 2006
ER -