BOOKS - Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hy...
Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hypotheses Method - Martha Whitesmith September 1, 2020 PDF  BOOKS
ECO~24 kg CO²

3 TON

Views
661826

Telegram
 
Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hypotheses Method
Author: Martha Whitesmith
Year: September 1, 2020
Format: PDF
File size: PDF 1.7 MB
Language: English



Book Description: Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hypotheses Method Martha Whitesmith September 1, 2020 Summary: In "Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hypotheses Method [Your Name] examines the prevalence of cognitive bias in the field of intelligence analysis and its potential consequences, using the Analysis of Competing Hypotheses (ACH) method as a case study. The book challenges the longstanding reliance on ACH by Western intelligence agencies and proposes a more effective approach to reducing cognitive bias in intelligence analysis. The book begins by highlighting the significance of understanding the process of technological evolution and its impact on modern knowledge development. The author emphasizes the need for a personal paradigm that can help perceive the technological process and its role in shaping human perception. This personal paradigm is essential for survival and the unification of people in a warring state. Chapter 1: Introduction The first chapter introduces the concept of cognitive bias and its relevance to intelligence analysis. The author explains how cognitive biases can affect the accuracy and objectivity of intelligence assessments, leading to catastrophic consequences. The author also provides an overview of the ACH method and its widespread use in Western intelligence agencies.
''
知能分析における認知バイアス:競合仮説の分析のテストMartha Whitesmith Method September 1、2020要約: 「知能分析における認知バイアス:競合する仮説分析のためのテスト方法」では、知能分析の分野における認知バイアスの有病率と、競合する仮説分析を用いたその潜在的な結果を調べます。 ケーススタディとしてのACH法この本は、欧米の諜報機関によるACHへの長の依存に挑戦し、知能分析における認知バイアスを減らすためのより効果的なアプローチを提供しています。この本は、技術進化の過程を理解することの意義と、現代の知識の発展への影響を強調することから始まる。著者は、人間の知覚の形成における技術プロセスとその役割を知覚するのに役立つ個人的パラダイムの必要性を強調している。この個人的なパラダイムは、戦争状態の人々の生存と統一のために必要です。第1章:はじめに第1章では、認知バイアスの概念と知能解析との関係を紹介します。著者は、認知バイアスが知能評価の正確さと客観性にどのように影響し、壊滅的な結果をもたらすかを説明します。著者はまた、西洋の諜報機関でのACH方法とその広範な使用の概要を説明します。

You may also be interested in:

Cognitive Bias in Intelligence Analysis: Testing the Analysis of Competing Hypotheses Method
Cognitive Bias in Intelligence Analysis Testing the Analysis of Competing Hypotheses Method
Special Topics in Artificial Intelligence and Augmented Reality: The Case of Spatial Intelligence Enhancement (Cognitive Technologies)
Artificial Intelligence Methods In Software Testing (Series in Machine Perception and Artifical Intelligence ? Vol. 56)
Hands-On Penetration Testing on Windows Unleash Kali Linux, PowerShell, and Windows debugging tools for security testing and analysis
Artificial Intelligence Techniques in Power Systems Operations and Analysis (Advances in Computational Collective Intelligence)
Machine Intelligence for Internet of Medical Things: Applications and Future Trends (Computational Intelligence for Data Analysis Book 2)
Cognitive Machine Intelligence
Brain and Cognitive Intelligence Control in Robotics
Cognitive Psychology: An Overview for Cognitive Scientists (Tutorial Essays in Cognitive Science Series)
Cognitive Electronic Warfare An Artificial Intelligence Approach
Cognitive Big Data Intelligence with a Metaheuristic Approach
AI Powered Financial Analysis: Harnessing Artificial Intelligence for Financial Analysis and Market Insights with Python
AI Powered Financial Analysis Harnessing Artificial Intelligence for Financial Analysis and Market Insights with Python
AI Powered Financial Analysis Harnessing Artificial Intelligence for Financial Analysis and Market Insights with Python
Cognitive Code Post-Anthropocentric Intelligence and the Infrastructural Brain
Cognitive Machine Intelligence Applications, Challenges, and Related Technologies
Cognitive Machine Intelligence Applications, Challenges, and Related Technologies
Data Analysis for Neurodegenerative Disorders (Cognitive Technologies)
Mechanical Vibrations: Types, Testing, and Analysis
Artificial Intelligence and Computing Logic Cognitive Technology for AI Business Analytics
Artificial Intelligence and Software Testing: Building systems you can trust
Structural Adhesive Joints Design, Analysis, and Testing
Chi-Squared Data Analysis and Model Testing for Beginners
Consciousness and Creativity in Artificial Intelligence: The Cognitive Side of Knowledge Management (Emerald Points)
Data Intelligence and Cognitive Informatics: Proceedings of ICDICI 2020 (Algorithms for Intelligent Systems)
Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence
EEG-Based Brain-Computer Interfaces Cognitive Analysis and Control Applications
Reinforcement Learning for Cyber Operations Applications of Artificial Intelligence for Penetration Testing
Quantitative Analysis of Cognitive Radio and Network Performance (Artech House Mobile Communications)
Intelligence Quotient: Testing, Role of Genetics and the Environment and Social Outcomes (Neuroscience Research Progress)
Intelligent Reliability Analysis Using MATLAB and AI Perform Failure Analysis and Reliability Engineering using MATLAB and Artificial Intelligence
Code Generation, Analysis Tools, and Testing for Quality (Advances in Computer and Electrical Engineering (ACEE))
Intelligence and Intelligence Analysis
Intelligence Analysis Fundamentals
Kali Linux Testing Your Network How to Test Infrastructure Security with Security Testing and Penetration Testing
Improving Intelligence Analysis in Policing
Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics (Innovation Management and Computing)
Python Data Analysis Transforming Raw Data into Actionable Intelligence with Python|s Data Analysis Capabilities
Python Data Analysis Transforming Raw Data into Actionable Intelligence with Python|s Data Analysis Capabilities