Hybrid Heterogeneous Hierarchical Models for Knowledge-Based Autonomous Systems
Victor T. Miller · 2007
Complex High Autonomy Systems generally require the use of multiple modelling formalisms and multiple levels of abstraction in order to accurately and efficiently describe their dynamic characteristics. It is often necessary to integrate several modelling formalisms together if we want to reason about, simulate or analyze a system. Moreover, the use of a hierarchical representation helps us to more intelligently organize the models during development. We discuss a general modelling approach called Hybrid Heterogeneous Hierarchical Modelling (HHH Modelling) which supports multiple representations and hierarchical development of Knowledge-Based Autonomous System Simulations. In this context, we discuss methods to describe how different modelling formalisms may interact with each other in terms of data input/output and inter-model coordination (coordination between two different models). However, our major focus will be on intra-model coordination. Intra-model coordination is a method by...