Event Modelling

Discrete Event and Agent Based Simulation Modelling using Anylogic

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This book is an initiative encouraged by Sciyo to promote the Discrete Event Simulation (DES) technique. Considered by many authors as a technique for modelling stochastic, dynamic and discretely evolving systems, this evolution of Monte Carlo stochastic but static technique has gained widespread acceptance among the practitioners who want to represent and improve complex systems.

Explore AnyLogic for simulation modeling. Learn entities, behavior modeling, and decision agents

Discrete-event simulation consists of a collection of techniques that when applied to a discrete-event dynamical system, generates sequences called sample paths that characterize its behavior. The collection includes modelling concepts for abstracting the essential features of a system, using specially designed software for converting these relationships into computer executable code capable of generating the requisite sample-path data; outlining procedures for converting these data into estimates of systems performances; and then illustrating methods for assessing how well these estimates approximate true, but unknown system behavior.

Modelling and simulation provides invaluable support for the design and evaluation of dynamic systems, offering multi-faceted tools that are unconstrained by discipline boundaries.
This fully updated and expanded new edition of Modelling and Simulation presents a practical introduction to the fundamental aspects of modelling and simulation.