TY - GEN
T1 - Foundations of tree-like local model updates
AU - Zhang, Yan
AU - Kelly, Michael
AU - Zhou, Yi
PY - 2010
Y1 - 2010
N2 - Model update is an approach to enhance model checking functions by providing computer aided modifications in system development [2, 9]. It has been observed that one major obstacle restricting the application of this approach, e.g. CTL model update [15], is that the update has to take the entire system model into account, and that is usually not feasible for large scale domains. In this paper, we develop a tree-like local model update approach under the framework of ACTL - a widely used fragment of CTL in property specification. We define a bisimulation based minimal change principle on tree-like local model update, reveal its relationship to traditional belief update and provide essential semantic characterizations. We also investigate primary semantic and computational properties in relation to tree-like local model update. Finally we briefly describe the update system prototype that we have implemented and summarize our experimental results.
AB - Model update is an approach to enhance model checking functions by providing computer aided modifications in system development [2, 9]. It has been observed that one major obstacle restricting the application of this approach, e.g. CTL model update [15], is that the update has to take the entire system model into account, and that is usually not feasible for large scale domains. In this paper, we develop a tree-like local model update approach under the framework of ACTL - a widely used fragment of CTL in property specification. We define a bisimulation based minimal change principle on tree-like local model update, reveal its relationship to traditional belief update and provide essential semantic characterizations. We also investigate primary semantic and computational properties in relation to tree-like local model update. Finally we briefly describe the update system prototype that we have implemented and summarize our experimental results.
UR - http://handle.uws.edu.au:8081/1959.7/562605
UR - http://ecai2010.appia.pt/
U2 - 10.3233/978-1-60750-606-5-615
DO - 10.3233/978-1-60750-606-5-615
M3 - Conference Paper
SN - 9781607506058
SP - 615
EP - 620
BT - ECAI 2010: 19th European Conference on Artificial Intelligence: Including Prestigious Applications of Artificial Intelligence (PAIS-2010): 16–20 August 2010, Lisbon, Portugal: Proceedings
PB - IOS Press
T2 - European Conference on Artificial Intelligence
Y2 - 27 August 2012
ER -