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Macrocognition Metrics And Scenarios Design And Evaluation For Realworld Teams First Edition Miller

  • SKU: BELL-9953592
Macrocognition Metrics And Scenarios Design And Evaluation For Realworld Teams First Edition Miller
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Macrocognition Metrics And Scenarios Design And Evaluation For Realworld Teams First Edition Miller instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 6.12 MB
Pages: 340
Author: Miller, Janet E.; Patterson, Emily S
ISBN: 9780754675785, 9781315593173, 0754675785, 1315593173
Language: English
Year: 2018
Edition: First edition

Product desciption

Macrocognition Metrics And Scenarios Design And Evaluation For Realworld Teams First Edition Miller by Miller, Janet E.; Patterson, Emily S 9780754675785, 9781315593173, 0754675785, 1315593173 instant download after payment.

Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances by scientific leaders in the relatively new area of macrocognition into a format that will support immediate use by members of the software testing and evaluation community for large-scale systems as well as trainers of real-world teams. Macrocognition is defined as how activity in real-world teams is adapted to the complex demands of a setting with high consequences for failure. The primary distinction between macrocognition and prior research is that the primary unit for measurement is a real-world team coordinating their activity, rather than individuals processing information, the predominant model for cognition for decades. This book provides an overview of the theoretical foundations of macrocognition, describes a set of exciting new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams. 
Abstract: Macrocognition Metrics and Scenarios: Design and Evaluation for Real-World Teams translates advances by scientific leaders in the relatively new area of macrocognition into a format that will support immediate use by members of the software testing and evaluation community for large-scale systems as well as trainers of real-world teams. Macrocognition is defined as how activity in real-world teams is adapted to the complex demands of a setting with high consequences for failure. The primary distinction between macrocognition and prior research is that the primary unit for measurement is a real-world team coordinating their activity, rather than individuals processing information, the predominant model for cognition for decades. This book provides an overview of the theoretical foundations of macrocognition, describes a set of exciting new macrocognitive metrics, and provides guidance on using the metrics in the context of different approaches to evaluation and measurement of real-world teams

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