EBOOK
Türkçe
İstihbarat Teorisi 2026
Modern Intelligence Approaches in the Age of Artificial Intelligence, OSINT, and Decision Analytics
Cagdas Inal(0)
About
Intelligence Theory 2026 reinterprets classical intelligence concepts through the lenses of artificial intelligence, open-source intelligence (OSINT), Bayesian analysis, and decision science.
The book examines intelligence as a decision-support architecture rather than merely an information-gathering activity. It explores the processes of collection, validation, analysis, interpretation, and strategic decision-making in an era increasingly shaped by AI-driven systems.
Covering topics such as OSINT, large language model (LLM) agents, intelligence failures, cognitive biases, uncertainty analysis, and future intelligence ecosystems, the work combines theoretical foundations with practical frameworks and real-world applications.
Designed for intelligence professionals, security practitioners, researchers, policymakers, students, and strategic analysts, this book provides a comprehensive guide to understanding how intelligence is evolving in the age of data, automation, and machine-assisted reasoning.
With a forward-looking perspective toward 2030, Intelligence Theory 2026 highlights the growing interaction between human judgment, technological innovation, and intelligent decision-support systems.
The book examines intelligence as a decision-support architecture rather than merely an information-gathering activity. It explores the processes of collection, validation, analysis, interpretation, and strategic decision-making in an era increasingly shaped by AI-driven systems.
Covering topics such as OSINT, large language model (LLM) agents, intelligence failures, cognitive biases, uncertainty analysis, and future intelligence ecosystems, the work combines theoretical foundations with practical frameworks and real-world applications.
Designed for intelligence professionals, security practitioners, researchers, policymakers, students, and strategic analysts, this book provides a comprehensive guide to understanding how intelligence is evolving in the age of data, automation, and machine-assisted reasoning.
With a forward-looking perspective toward 2030, Intelligence Theory 2026 highlights the growing interaction between human judgment, technological innovation, and intelligent decision-support systems.