Simulation And Event Modeling For Game Developers
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Simulation and Event Modeling for Game Developers
Simulation games are unique. They have action, combat, management, and strategy. By definition a simulation is an imitation. So, computer simulation games are games that imitate a real-life situation. Another way to think about it is that simulation games attempt to recreate a past event. But games don't always stick to that definition, sometimes they attempt to create a situation that we may someday be faced with. Event modeling is the fundamental activity of examining a real-world event to determine precisely those aspects of the event that can be made the primary objectives of a software development effort. Such modeling is essential to the success of any game development effort, especially if it focuses on simulation. The reason for this is that no simulation program can hope to simulate every aspect of a real-world event. The simulation must be limited in some way, and a technique is at hand, through event modeling, to determine which aspects of the event will render the simulation project effective.
Discrete-Event Modeling and Simulation
Complex artificial dynamic systems require advanced modeling techniques that can accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time. Discrete Event Modeling and Simulation presents a practical approach focused on the creation of discrete-event applications. The book introduces the CD++ tool, an open-source framework that enables the simulation of discrete-event models. After setting up the basic theory of DEVS and Cell-DEVS, the author focuses on how to use the CD++ tool to define a variety of models in biology, physics, chemistry, and artificial systems. They also demonstrate how to map different modeling techniques, such as Finite State Machines and VHDL, to DEVS. The in-depth coverage elaborates on the creation of simulation software for DEVS models and the 3D visualization environments associated with these tools. A much-needed practical approach to creating discrete-event applications, this book offers world-class instruction on the field’s most useful modeling tools.
Discrete Event Modeling and Simulation Technologies
Author: Hessam S. Sarjoughian
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-09
The initial ideas behind this edited volume started in spring of 1998 - some two years before the sixtieth birthday of Bernard P. Zeigler. The idea was to bring together distinguished researchers, colleagues, and former students of Professor Zeigler to present their latest findings at the AIS' 2000 conference. During the spring of 1999, the initial ideas evolved into creating a volume of articles surrounding seminal concepts pertaining to modeling and simulation as proposed, developed, and advocated by Professor Zeigler throughout his scientific career. Also included would be articles describing progress covering related aspects of software engineering and artificial intelligence. As this volume is emphasizing concepts and ideas spawned by the work of Bernard P. Zeigler, it is most appropriate to offer a biographical sketch of his scientific life, thus putting into a historical perspective the contributions presented in this volume as well as new research directions that may lie ahead! Bernard P. Zeigler was born March 5, 1940, in Montreal, Quebec, Canada, where he obtained his bachelor's degree in engineering physics in 1962 from McGill University. Two years later, having completed his MS degree in electrical engineering at the Massachusetts Institute of Technology, he spent a year at the National Research Council in Ottawa. Returning to academia, he became a Ph. D. student in computer and communication sciences at the University of Michigan, Ann Arbor.