SCS Publications

Methodology papers should be original articles of lasting value dealing with contributions to the modeling and simulation field that are methodological in nature. Areas of interest include, but are not limited to:

• model execution (e.g., parallel or distributed simulation);
• simulation interoperability;
• modeling techniques, languages, and development systems;
• analysis methodologies and techniques;
• verification, validation and accreditation;
• randomness in simulations, (e.g., random number generation);
• techniques for real-time simulation, (e.g., human-in-the-loop), hardware-in-the-loop, or on-line simulation.

Purely mathematical, computational, or empirical results, however valuable, are considered more appropriate to the many journals specializing in these areas. General approaches, formalisms, algorithms, or techniques should preferably be illustrated with significant applications that demonstrate their applicability to real-world problems.

Applications papers should be original articles describing mature applied work involving computational accounts of modeling and simulation. As this is a modeling and simulation journal, application papers should contain a detailed description of the modeling and simulation methods employed. The work should advance the state of the art in modeling and simulation in general, or the use of modeling and simulation in a specific application area. Proposals for new ways of looking at modeling and simulation must include demonstrations of effectiveness. The methods and applications of modeling and simulation in both well-established and emerging areas are included. Application areas of interest include, but are not restricted to:

• Computer Science: Computer networking and communications, high-performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design.
• Engineering: System engineering and design, aerospace, air and surface transportation systems, microelectronics, mechatronics, manufacturing systems, chemical engineering, and robotics.
• Natural and Life Sciences: Chemistry, physics, biology, ecology, medicine, and biomedicine.
• Military: modeling and simulation for training, analysis, and acquisition.
• Social and Cognitive Sciences: economics, demography, politics, human behavior, and cognition

Authors are encouraged to consult past issues of Simulation for examples of articles within its scope. The principal focus of the journal is on research papers, however comprehensive reviews and tutorial papers that explain methodological topics in modeling and simulation are also within the scope of the journal. All submissions will be reviewed for technical quality and understandability to the general reader.

Special Issues: Proposals for special issues should be accompanied by the curriculum(a) vitae of the proposed guest editor(s) and will be reviewed for their relevance to the journal objectives, significance, topicality, and balance.