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Cognitive electronic warfare : an artificial intelligence approach
This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time. The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
Book
Artificial Intelligence and Global Security
Artificial Intelligence and Global Security: Future Trends, Threats and Considerationsbrings a much-needed perspective on the impact of the integration of Artificial Intelligence (AI) technologies in military affairs. Experts forecast that AI will shape future military operations in ways that will revolutionize warfare.
eBook
Strategy, evolution, and war : from apes to artificial intelligence
This book is about the psychological and biological bases of strategy making in war as they have evolved in humans over our history as a species. The book is also a cautionary preview of how Artificial Intelligence (AI) will revolutionize strategy more than any development in the last three thousand years of military history. Machines will make important decisions about war on both sides, and they may do so without input from humans. Kenneth Payne describes strategy as an evolved package of conscious and unconscious behaviors with roots in our primate ancestry. Human-made strategy is influenced by emotion as well as reason, with both positive and negative results. The strategic implications of AI are profound because they depart radically from the biological basis of human intelligence. Rather than being just another tool of war, AI will exponentially speed up decisionmaking, make choices humans might not make, and force faster actions and reactions. This book is a fascinating examination of the psychology of strategy-making from prehistoric times, through the ancient world, and into the modern age. It also offers a concerning preview of a future when humans cede at least some control over their destiny.
Book
War and algorithm
\"New military technologies are animated by fantasies of perfect knowledge, lawfulness, and vision that contrast sharply with the very real limits of human understanding, law, and vision. Thus, various kinds of violent acts are proliferating while their precise nature remains unclear. Especially man-machine ensembles, guided by algorithms, are operating in ways that challenge conceptual understanding. War and Algorithm looks at the increasing power of algorithms in these emerging forms of warfare from the perspectives of critical theory, philosophy, legal studies, and visual studies. The contributions in this volume grapple with the challenges posed by algorithmic warfare and trace the roots of new forms of war in the technological practices and forms of representation of the digital age. Together, these contributions provide a first step toward understanding--and resisting--our emerging world of war\"-- Provided by publisher.
Book
Autonomous Weapons Systems and International Norms
In Autonomous Weapons Systems and International Norms Ingvild Bode and Hendrik Huelss present an innovative analysis of how testing, developing, and using weapons systems with autonomous features shapes ethical and legal norms, arguing that they have already established standards for what counts as meaningful human control.
eBook
Cognitive Electronic Warfare
This comprehensive book gives an overview of how cognitive systems and artificial intelligence (AI) can be used in electronic warfare (EW). Readers will learn how EW systems respond more quickly and effectively to battlefield conditions where sophisticated radars and spectrum congestion put a high priority on EW systems that can characterize and classify novel waveforms, discern intent, and devise and test countermeasures. Specific techniques are covered for optimizing a cognitive EW system as well as evaluating its ability to learn new information in real time.The book presents AI for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. Optimization techniques, including temporal tradeoffs and distributed optimization challenges are also discussed. The issues concerning real-time in-mission machine learning and suggests some approaches to address this important challenge are presented and described. The book covers electronic battle management, data management, and knowledge sharing. Evaluation approaches, including how to show that a machine learning system can learn how to handle novel environments, are also discussed. Written by experts with first-hand experience in AI-based EW, this is the first book on in-mission real-time learning and optimization.
eBook
Information in War
An in-depth assessment of innovations in military
information technology informs hypothetical outcomes for artificial
intelligence adaptations
In the coming decades, artificial intelligence (AI) will
revolutionize the way we live and the way we wage war. Military
organizations that best innovate and adapt to this AI revolution
will gain significant advantages over rivals. Great powers such as
the United States, China, and Russia are investing in novel
sensing, reasoning, and learning technologies that will alter how
militaries observe, orient, decide, and act in relation to the
enemy and environment. This will fundamentally change how we
conceptualize the national security enterprise.
In Information in War: Military Innovation, Battle Networks,
and the Future of Artificial Intelligence , Benjamin M. Jensen,
Christopher Whyte, and Scott Cuomo provide a deeper understanding
of the relationship between information, organizational dynamics,
and military power. They analyze past examples of successes and
failures with innovations in military information technologies and
demonstrate how militaries can avoid common obstacles to achieve
effective adoption.
Information in War concludes with four hypothetical
outcomes of how the US military may use AI by 2040 to help imagine
and prepare for a range of possible futures.
eBook
AI at War
Sam J. Tangredi and George Galdorisi bring together over thirty experts, ranging from former DOD officials and retired flag officers to scientists and active duty junior officers. These contributors present views on a vast spectrum of subjects pertaining to the implementation of AI in modern warfare, including strategy, policy, doctrine, weapons, and ethical concerns.
eBook
A Review of Quadrotor Unmanned Aerial Vehicles: Applications, Architectural Design and Control Algorithms
Over the past decade, unmanned aerial vehicles (UAVs) have received a significant attention due to their diverse capabilities for non-combatant and military applications. The primary aim of this study is to unveil a clear categorization overview for more than a decade worth of substantial progress in UAVs. The paper will begin with a general overview of the advancements, followed by an up-to-date explanation of the different mechanical structures and technical elements that have been included. The paper will then explore and examine various vertical take-off and landing (VTOL) configurations, followed by expressing the dynamics, applicable simulation tools and control strategies for a Quadrotor. In conclusion to this review, the dynamic system presented will always face limitations such as internal and/or external disturbances. Hence, this can be minimised by the choice of introducing appropriate control techniques or mechanical enhancements.
Journal Article