Simulation models of the physical system, integrated as part of the knowledge architecture, are also claimed to be adequate, both from the point of view of the knowledge model calibration and the training of the emergency personnel as well. The feasibility of the approach has been demonstrated ...
Knowledge-based modelling consists of qualitative models which are implemented in a hybrid, rule- and frame-oriented programming language. Qualitative models achieve flexible and detailed description or both the simulation entities and relationships. This paper presents a simulation expert system which is ...
Knowledge-based formulation of dynamic decision models We present a new methodology to automate decision making over time and uncertainty. We adopt a knowledge-based model construction approach to support automated and interactive formulation of dynamic decision models, i.e., models that exp... C Wa...
The present simulation languages provide the modeler with powerful tools that greatly facilitate building models (modules for arrivals or servers, etc.). Yet, also with these tools the modeler constantly has the feeling that he is reinventing the wheel again and again. Maybe the model he is ...
The motivation for this paper is the potential of machine learning for filling in the gaps in our underlying mechanistic knowledge that cause widely-used knowledge-based models to be inaccurate. Thus, we here propose a general method that leverages the advantages of these two approaches by ...
The formulation of complex planning models, such as linear programming (LP) systems, is a difficult task that enjoys little support by current decision support systems. It is hypothesized that current artificial intelligence technology is insufficient to build generalized formulation tools that would be...
operations schedules thatsimultaneously considered some stand and forest management and environmentalconsiderations.Operations schedules produced for two intensively managed and rapidly growingplantation forests by the knowledge-based models were evaluated for timber flow, stand health,scenic beauty, and water ...
Brain regions susceptible to degeneration in AD are enriched in both LH and its receptor; moreover, in animal models of AD, pharmacologic suppression of LH and FSH reduced plaque formation [52]. As both the oocytes meiosis that is triggered by LH and the process of spermatogenesis that is ...
System identification generally has been based on mathematical models of system behavior. This paper considers the increasing importance of symbolic, non-numerical models of physical systems and their usefulness in simulation and identification. Symbolic models are contrasted with mathematical models. The us...
We adopt a knowledge-based model construction approach to support automated and interactive formulation of dynamic decision models, i.e., models that explicitly consider the effects of time. Our work integrates and extends different features of the existing frameworks. We incorporate a hybrid knowledge...