As an introduction the recursive and iterative process of problem solving by simulation is dealt with and the possibility of enhancing its effectivity by utilizing a knowledge base and an inference engine are described. The necessity of modifying both the experimental conditions and the model...

Some software understanding concepts are first introduced. An example simulation understanding system, called E⧸Slam (Elucidation of SLAM II programs), is presented. E⧸Slam can generate statement templates to provide detailed information (including default values) for every occurrence of a...

The rising complexity of systems has increased the difficulty in managing knowledge in computer-aided design tools. Conventional representation schemes such as production rules, frames, AND⧸OR trees or semantic networks do not provide sufficient power for managing complex design knowledge. An...

Direct simulation of a discrete stochastic model of reaction-diffusion provides a means of studying the fluctuations which occur when populations are finite. This paper introduces the mathematical model along with the computational model which implements it, and shows the relationship to some...