© Yilmaz- - 2004-12-06 “Introduction to Discrete-Event Simulation” 1 Introduction to...

© Yilmaz- - 2004-12-06 “Introduction to Discrete-Event Simulation” 1

Introduction to Discrete-Event Simulation

Dr. Levent YilmazM&SNet: Auburn M&S Laboratory

Computer Science & Software EngineeringAuburn University, Auburn, AL 36849http://www.eng.auburn.edu/~yilmaz

COMP8700 Agent-Directed Simulation


Use of Simulation for Agents Use of Agents for Simulation

Agent Simulation: simulation of agent systems. Agent simulation is already used in several categories of application areas such as:- Engineering applications: electrical engineering, irrigation systems, manufacturing systems, mechatronics, networks, robotics, software, as well as transportation/logistics;- Management/economy applications: economy, e-commerce, and management;- Social systems and human behaviour applications: social systems, psychology/human behaviour, physiology, negotiation, and organization theory;- Environment applications: ecosystems, land use;- Military applications.

Agent-supported Simulation: use of agents in a simulation study for at least one of the following purposes: (in a computer-aided simulation environment –including simulation-based problem solving environments):- to provide computer assistance for front-end and/or back-end interface functions; - to process elements of a simulation study symbolically (for example, for consistency checks and built-in reliability); and- to provide cognitive abilities to the elements of a simulation study, such as learning or understanding abilities.Agent-based Simulation: use of agents for the generation of model behavior in a simulation study

Agent-Directed Simulation


AimAim

• The aim of this lecture is to overview the fundamentals, underlying principles, conceptual frameworks, and the life-cycle of a discrete-event simulation study.


• The initialization include the assignment of initial values to all the attributes.

• Fixed time increment is as the time flow mechanism.

• If an activity’s condition is satisfied, the actions of that activity are executed.


• The three phase approach combines activity scanning and event scheduling frameworks.

• Unlike the two-phased approach the time flow mechanism implements a variable time increment approach.

• All B (bound to occur – unconditional) activities with occurrence times equal to the simulation clock are executed before activity scanning takes place.


• Under this framework the life cycle of an object that moves through and interacts with the processes of the system is represented.

• Initialization phase creates the attributes and dynamic objects.

• In the clock update phase the time is advanced to the move time of the front-end object of the FOL.

• All objects with equivalent move time are transferred to COL, which is processed in the scan phase.


• Problem formulation is the process by which the initially communicated problem is translated into a formulated problem sufficiently well defined to enable specific research action.

• Not enough attention is given in the life cycle.

• The accuracy of problem formulation greatly affects the acceptability and credibility of simulation results.

© Yilmaz- - 2004-12-06 “Introduction to Discrete-Event Simulation” 1 Introduction to...

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