[서평]「Component Software」 - Beyond Object-Oriented Programming -

Many-particle charged-particle plasma simulations using spatial meshes for the electromagnetic field solutions, particle-in-cell (PIC) merged with Monte Carlo collision (MCC) calculations, are coming into wide use for application to partially ionized gases. The author emphasizes the development of PIC computer experiments since the 1950s starting with one-dimensional (1-D) charged-sheet models, the addition of the mesh, and fast direct Poisson equation solvers for 2-D and 3-D. Details are provided for adding the collisions between the charged particles and neutral atoms. The result is many-particle simulations with many of the features met in low-temperature collision plasmas; for example, with applications to plasma-assisted materials processing, but also related to warmer plasmas at the edges of magnetized fusion plasmas. >

Particle-in-Cell Charged Particle Simulations, plus Monte Carlo Collisions with Neutral Atoms, PIC-MCC

หนงสอ Behavioral Game Theory: Experiments in Strategic Interaction เขยนโดย Colin F. Camerer มวตถประสงคเพอนำเสนอหลกฐานเชงประจกษจากผลการวจยจำนวนมากมายทยนยนอทธพลของปจจยทางจตวทยาทมผลตอการตดสนใจตามทฤษฎเกม หนงสอ เลมนไดนำเสนอแนวคดทฤษฎทเพมความสามารถในการอธบายพฤตกรรมการตดสนใจตามทฤษฎเกม (Game theory) ซง von Neumann; & Morgenstern ไดเสนอไวในป ค.ศ. 1944 โดยชใหเหนวา ปจจยทางจตวทยามอทธพลทำใหการตดสนใจทเกดขนจรงคลาดเคลอนจากการคาดการณของทฤษฎเกม

Behavioral Game Theory: Experiments in Strategic Interaction

Simulation in the supply chain context: a survey

Control learning: present and future

We consider the issue of composability as a design principle for simulation. While component based modeling is believed to potentially reduce the complexities of the modeling task, we describe a few of the complexities introduced through composability. We observe that these complexities might tend to offset the benefits of component based modeling on a large scale.

/pdf/observations-on-the-complexity-of-composable-simulation-17b3l44v7d.pdf

Observations on the complexity of composable simulation

An overview of military training simulation in the form of an introductory tutorial is provided. Basic terminology is introduced, and current trends and research focus in the military training simulation domain are described.

Introduction to military training simulation: a guide for discrete event simulationists

The nature of the emerging field of web-based simulation is examined in terms of its relationship to the fundamental aspects of simulation research and practice. The presentation, assuming a form of debate, is based on a panel session held at the first International Conference on Web-Based Modeling and Simulation, which was sponsored by the Society for Computer Simulation during 11-14 January 1998 in San Diego, California. While no clear “winner” is evident in this debate, the issues raised here certainly merit ongoing attention and contemplation.

/pdf/web-based-simulation-revolution-or-evolution-8kxoyl4zxq.pdf

Web-based simulation: revolution or evolution?

Starting with a restricted view of composability, we propose a framework for the broader simulation interconnection problem and suggest roles for composability, interoperability and integratability within that framework We briefly highlight how the framework could be used to: (1) further the ongoing efforts in the theory of simulation composability, and (2) serve as a basis for a family of Maturity Models for simulation

http://www.thesimguy.com/articles/04S-SIW-145.pdf

Toward a Family of Maturity Models for the Simulation Interconnection Problem

ACM Transactions on Modeling and Computer Simulation, Vol. 10, No. 1, January 2000, Pages 3–17]

https://calhoun.nps.edu/bitstream/10945/38642/1/p3-page.pdf

Ernest H. Page

Papers

Observations on the complexity of composable simulation

Introduction to military training simulation: a guide for discrete event simulationists

Web-based simulation: revolution or evolution?

Toward a Family of Maturity Models for the Simulation Interconnection Problem

Web-Based Simulation: Evolution or Revolution?