Modeling Human and Organizational Behavior: Application to Military SimulationsNational Research Council, Division of Behavioral and Social Sciences and Education, Board on Human-Systems Integration, Panel on Modeling Human Behavior and Command Decision Making: Representations for Military Simulations National Academies Press, 31.07.1998 - 432 Seiten Simulations are widely used in the military for training personnel, analyzing proposed equipment, and rehearsing missions, and these simulations need realistic models of human behavior. This book draws together a wide variety of theoretical and applied research in human behavior modeling that can be considered for use in those simulations. It covers behavior at the individual, unit, and command level. At the individual soldier level, the topics covered include attention, learning, memory, decisionmaking, perception, situation awareness, and planning. At the unit level, the focus is on command and control. The book provides short-, medium-, and long-term goals for research and development of more realistic models of human behavior. |
Inhalt
| 1 | |
| 9 | |
| 19 | |
3 Integrative Architectures for Modeling the Individual Combatant | 51 |
4 Attention and Multitasking | 112 |
5 Memory and Learning | 129 |
6 Decision Making | 150 |
7 Situation Awareness | 172 |
9 Behavior Moderators | 242 |
10 Modeling of Behavior at the Unit Level | 269 |
A Structural Perspective | 301 |
12 Methodological Issues and Approaches | 320 |
13 Conclusions and Recommendations | 329 |
| 343 | |
Appendix Biographical Sketches | 391 |
| 397 | |
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Häufige Begriffe und Wortgruppen
action activities adaptation agents analysis applications approach architectures assessment associated attack attention belief Chapter cognitive combat command communication complex computational context continuous course decision depends described detailed discussion doctrine domain effects efforts enemy engagement environment et al evaluation example execution existing expected factors focus forces function given goal human behavior representation implementation important incorporate individual initial integrative intelligence interaction involved knowledge leader learning limited memory military military simulations mission models multiple neural noted objective operations organization organizational unit panel particular perceptual performance planning platoon position predictions preference present probability problem procedures production reasoning represent require rules selection simulations situation awareness Soar social specific structure studies tactical tank task theory tion types unit-level validation variables various
Beliebte Passagen
Seite 390 - The Roles of Fuzzy Logic and Soft Computing in the Conception, Design, and Deployment of Intelligent Systems" in Software Agents and Soft Computing: Concepts and Applications, Eds.
Seite 351 - ART-EMAP: A neural network architecture for object recognition by evidence accumulation," IEEE Transactions on Neural Networks, Vol.
Seite 366 - Kieras, DE, Meyer, DE, Mueller, S., & Seymour, T. (1999) Insights into working memory from the perspective of the EPIC architecture for modeling skilled perceptual-motor and cognitive human performance. In A. Miyake & P.
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