Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
Knowledge-based design of LANs using system entity structure concepts
WSC '86 Proceedings of the 18th conference on Winter simulation
Theory of Modelling and Simulation
Theory of Modelling and Simulation
DEVS Formalism: A Framework for Hierarchical Model Development
IEEE Transactions on Software Engineering
The class kernel-models in DEVS-scheme: a hypercube architecture example
ACM SIGSIM Simulation Digest
Implementing the product automation formalism
WSC '87 Proceedings of the 19th conference on Winter simulation
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This tutorial will emphasize concepts and methodology and will relate them to languages and software environments which are becoming available to support these concepts. We will show how high level specification of discrete event models with hierarchical and modular properties is crucial to the sound integration of knowledge representation approaches of artificial intelligence. We will discuss examples of hierarchical modular models exhibiting self-modifying structure capabilities and show how they may be implemented in conventional, as well as object-oriented symbolic languages. Finally, structuring of model bases for simulation environments will be presented and example tools illustrated.Specifically, we shall discuss the following topics:High level specification of discrete event models with hierarchical and modular properties using pseudo-code formalism.Implementation of such specifications in procedural languages: How to express such pseudo-code in conventional languages such as SIMSCRIPT II.5 as well as in LISP-based languages.Examples of such hierarchical modular models exhibiting self-modifying structure capabilities and embedded artificial intelligence.Model/Knowledge Base Design: Organizing models using the system entity structure to constitute a reusable knowledge base.Background for this tutorial may be found in (Zeigler 1984, 1985).