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 Название: Practical Modelling of Dynamic Decision Making
Автор: Rick Evertsz, John Thangarajah
Издательство: Springer
ISBN: 3319951947
Год: 2019
Страниц: 110
Жанр: Искусственный интеллект
Язык: английский
Формат: pdf (true), djvu
Размер: 19.2 MB
This book presents TDF (Tactics Development Framework), a practical methodology for eliciting and engineering models of expert decision-making in dynamic domains. The authors apply the BDI (Beliefs, Desires, Intentions) paradigm to the elicitation and modelling of dynamic decision making expertise, including team behaviour, and map it to a diagrammatic representation that is intuitive to domain experts.
This book is concerned with how to model the dynamic decision-making capabilities of individuals as well as teams, with a view to engineering competent, autonomous decision-making systems for applications such as UASs (Unmanned Aerial Systems) as well as simulations that implement virtual human characters. In the autonomous UAS case, the UAS should be engineered to have decision-making capabilities comparable to those of human pilots so that it can successfully achieve goals such as dealing with bad weather, avoiding hostile threats, and working collaboratively with human team members. In the simulation case, we want the virtual human characters to behave realistically for applications such as disaster management training, and wargaming. These applications all pertain to dynamic environments.
TDF is a methodology and tool that supports the design, development and deployment of sophisticated models of dynamic decision making. It provides a high-level, diagrammatic representation for modelling the dynamic aspects of tactics and has been developed to support the whole model development lifecycle, from knowledge elicitation, through model design, to the generation of platform-agnostic code templates.
TDF is based on over 25 years of experience in agent-based modelling of decision making and derives from the Prometheus methodology and the requirements of analysts we have worked with, mainly in the military arena.
The book will be of value to researchers and practitioners engaged in dynamic decision making.
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Автор: Ingvar16 29-06-2019, 15:13 | Напечатать |
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Dynamic Fuzzy Machine Learning Название: Dynamic Fuzzy Machine Learning Автор: Li Fanzhang, Zhang Li, Zhang Zhao Издательство: De Gruyter Год: 2017 ISBN: 9783110518702 Формат: pdf... |
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