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Written to bridge the information needs of management and computational scientists, this book presents the first comprehensive treatment of Computational Red Teaming (CRT). The author describes an analytics environment that blends human reasoning and computational modeling to design risk-aware and evidence-based smart decision making systems. He presents the Shadow CRT Machine, which shadows the operations of an actual system to think with decision makers, challenge threats, and design remedies. This is the first book to generalize red teaming (RT) outside the military and security domains and it offers coverage of RT principles, practical and ethical guidelines. The author utilizes Gilbert’s principles for introducing a science. Simplicity: where the book follows a special style to make it accessible to a wide range of readers. Coherence: where only necessary elements from experimentation, optimization, simulation, data mining, big data, cognitive information processing, and system thinking are blended together systematically to present CRT as the science of Risk Analytics and Challenge Analytics. Utility: where the author draws on a wide range of examples, ranging from job interviews to Cyber operations, before presenting three case studies from air traffic control technologies, human behavior, and complex socio-technical systems involving real-time mining and integration of human brain data in the decision making environment. • Presents first comprehensive treatment of Computational Red Teaming; • Provides balanced coverage of the topic from the perspectives of risk thinking and computational modeling; • Includes thorough coverage of the computational approach to the problem; • Links risk analytics and challenge analytics with the right set of computational tools to assess risk in complex, “big-data” situations.
Engineering. --- Computational Intelligence. --- Communications Engineering, Networks. --- Data Storage Representation. --- Computer science. --- Telecommunication. --- Ingénierie --- Informatique --- Télécommunications --- Engineering & Applied Sciences --- Computer Science --- Computational intelligence. --- Big data. --- Decision making --- Data processing. --- Data sets, Large --- Large data sets --- Intelligence, Computational --- Data structures (Computer science). --- Electrical engineering. --- Artificial intelligence --- Soft computing --- Electric engineering --- Engineering --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Construction --- Industrial arts --- Technology --- Data sets --- Informatics --- Science --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting
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Swarm intelligence. --- Robots --- Multiagent systems. --- Control systems. --- Robot control --- Robotics --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software)
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This volume is an initiative undertaken by the IEEE Computational Intelligence Society’s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions. Applications range from the detection of buried explosive hazards in a battlefield to the control of unmanned underwater vehicles, the delivery of superior video analytics for protecting critical infrastructures or the development of stronger intrusion detection systems and the design of military surveillance networks. Defense scientists, industry experts, academicians and practitioners alike will all benefit from the wide spectrum of successful applications compiled in this volume. Senior undergraduate or graduate students may also discover uncharted territory for their own research endeavors.
Computer Science --- Engineering & Applied Sciences --- Engineering. --- Artificial intelligence. --- System safety. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Security Science and Technology. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Safety, System --- Safety of systems --- Systems safety --- Accidents --- Industrial safety --- Systems engineering --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Prevention --- Artificial Intelligence.
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This book explains how dual phase evolution operates in all these settings and provides a detailed treatment of the subject. The authors discuss the theoretical foundations for the theory, how it relates to other phase transition phenomena and its advantages in evolutionary computation and complex adaptive systems. The book provides methods and techniques to use this concept for problem solving. Dual phase evolution concerns systems that evolve via repeated phase shifts in the connectivity of their elements. It occurs in vast range of settings, including natural systems (species evolution, landscape ecology, geomorphology), socio-economic systems (social networks) and in artificial systems (annealing, evolutionary computing).
Natural computation. --- Evolutionary computation. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Computation, Evolutionary --- Biologically-inspired computing --- Bio-inspired computing --- Natural computing --- Engineering. --- Computer organization. --- Applied mathematics. --- Engineering mathematics. --- Complexity, Computational. --- Appl.Mathematics/Computational Methods of Engineering. --- Complexity. --- Computer Systems Organization and Communication Networks. --- Artificial intelligence --- Natural computation --- Soft computing --- Bionics --- Electronic data processing --- Computer network architectures. --- Mathematical and Computational Engineering. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Construction --- Industrial arts --- Technology --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Computational complexity. --- Organization, Computer --- Electronic digital computers --- Complexity, Computational --- Machine theory --- Phase transformations (Statistical physics)
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This book is open access under a CC BY 4.0 license. This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.
Engineering. --- Algorithms. --- Artificial intelligence. --- Computer mathematics. --- Robotics. --- Automation. --- Electronics. --- Microelectronics. --- Robotics and Automation. --- Artificial Intelligence (incl. Robotics). --- Electronics and Microelectronics, Instrumentation. --- Computational Mathematics and Numerical Analysis. --- Algorithm Analysis and Problem Complexity. --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Electrical engineering --- Physical sciences --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation --- Machine theory --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorism --- Algebra --- Arithmetic --- Construction --- Industrial arts --- Technology --- Mathematics --- Foundations --- Computer science --- Computer software. --- Artificial Intelligence. --- Mathematics. --- Software, Computer --- Computer systems --- Trusted Autonomy --- Automation Technology --- Autonomous Systems --- Self-Governance --- Trusted Autonomous Systems --- Design of Algorithms and Methodologies --- Control engineering. --- Control, Robotics, Automation. --- Data processing. --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers
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This book introduces the linkage between evolutionary computation and complex networks and the advantages of cross-fertilising ideas from both fields. Instead of introducing each field individually, the authors focus on the research that sits at the interface of both fields. The book is structured to address two questions: (1) how complex networks are used to analyze and improve the performance of evolutionary computation methods? (2) how evolutionary computation methods are used to solve problems in complex networks? The authors interweave complex networks and evolutionary computing, using evolutionary computation to discover community structure, while also using network analysis techniques to analyze the performance of evolutionary algorithms.The book is suitable for both beginners and senior researchers in the fields of evolutionary computation and complex networks. Brings together the fields of evolutionary computation and complex networks, discussing them both qualitatively and quantitatively; Provides novel and efficient computational problem solving techniques that require little computer memory; Provides the pseudo-codes for the computational methods used in the book to enable readers to adopt the codes to their own problems.
Evolutionary computation. --- System analysis. --- Telecommunication. --- Computer software. --- Computer science. --- Communications Engineering, Networks. --- Algorithm Analysis and Problem Complexity. --- Computation by Abstract Devices. --- Informatics --- Science --- Software, Computer --- Computer systems --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Electrical engineering. --- Algorithms. --- Computers. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Algorism --- Algebra --- Arithmetic --- Electric engineering --- Engineering --- Foundations
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This book constitutes the refereed proceedings of the Third Australian Conference on Artificial Life, ACAL 2007, held in Gold Coast, Australia, in December 2007. The 34 revised full papers presented were carefully reviewed and selected from 70 submissions. Research in Alife covers the main areas of biological behaviour as a metaphor for computational models, computational models that reproduce/duplicate a biological behaviour, and computational models to solve biological problems. Thus, Alife features analyses and understanding of life and nature and helps modeling biological systems or solving biological problems. The papers are organized in topical sections on heuristics, complex systems, evolution, biological systems, and networks.
Artificial life --- Biological systems --- Ant algorithms --- Swarm intelligence --- Evolutionary computation --- Systèmes biologiques --- Algorithmes de colonies de fourmis --- Intelligence collective --- Réseaux neuronaux à structure évolutive --- Computer simulation --- Congresses. --- Data processing --- Simulation par ordinateur --- Congrès --- Artificial intelligence --- Biology - General --- Computer Science --- Mechanical Engineering - General --- Engineering & Applied Sciences --- Mechanical Engineering --- Biology --- Health & Biological Sciences --- Information Technology --- Artificial Intelligence --- Collective intelligence --- Ant-inspired algorithms --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Life sciences. --- Computers. --- Computer science --- User interfaces (Computer systems). --- Artificial intelligence. --- Pattern recognition. --- Life Sciences. --- Life Sciences, general. --- Artificial Intelligence (incl. Robotics). --- Computation by Abstract Devices. --- User Interfaces and Human Computer Interaction. --- Discrete Mathematics in Computer Science. --- Pattern Recognition. --- Mathematics. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computer mathematics --- Discrete mathematics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Biosciences --- Sciences, Life --- Science --- Mathematics --- Computer science. --- Computational complexity. --- Optical pattern recognition. --- Artificial Intelligence. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Complexity, Computational --- Informatics --- Computer science—Mathematics.
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Offering a concise and multidisciplinary reference guide to the state of the art in Australian operations research, this book will be of great value to academics working in many disciplines associated with operations research, as well as industrial practitioners engaged in planning, scheduling and logistics. Over 60 papers, with topics ranging from academic research techniques and case studies to industrial and administrative best practices in operations research, address aspects such as: • optimization, combinatorial optimization, decision analysis, supply-chain management, queuing and routing, and project management; and • logistics, government, cyber security, health-care systems, mining and material processing, ergonomics and human factors, space applications, telecommunications and transportation, among many others. This book presents the Proceedings of the National Conference of the Australian Society for Operations Research, the premier professional organization for Australian academics and practitioners working in optimization and other disciplines related to operations research. The conference was held in Canberra in November 2016.
Engineering. --- Operations research. --- Decision making. --- Management science. --- Engineering economics. --- Engineering economy. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Research, Management Science. --- Operation Research/Decision Theory. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Technology --- Decision making --- Operations Research/Decision Theory.
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This state-of-the-art survey offers a renewed and refreshing focus on the progress in evolutionary computation, in neural networks, and in fuzzy systems. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in these areas. The result is a balanced contribution to the research area of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field. The 13 selected chapters originate from lectures and presentations given at the IEEE World Congress on Computational Intelligence, WCCI 2012, held in Brisbane, Australia, in June 2012.
Computational intelligence --- Engineering & Applied Sciences --- Computer Science --- Artificial intelligence --- Computer science. --- Algorithms. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Database Management. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Information Systems Applications (incl. Internet). --- Algorithm Analysis and Problem Complexity. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Algorism --- Algebra --- Arithmetic --- Informatics --- Science --- Foundations --- Information storage and retrieva. --- Computer software. --- Artificial Intelligence. --- Software, Computer --- Computer systems --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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