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Terrorist groups throughout the world have been studied primarily through the use of social science methods. However, major advances in IT during the past decade have led to significant new ways of studying terrorist groups, making forecasts, learning models of their behaviour, and shaping policies about their behaviour. Handbook of Computational Approaches to Counterterrorism provides the first in-depth look at how advanced mathematics and modern computing technology is shaping the study of terrorist groups. This book includes contributions from world experts in the field, and presents extensive information on terrorism data sets, new ways of building such data sets in real-time using text analytics, introduces the mathematics and computational approaches to understand terror group behaviour, analyzes terror networks, forecasts terror group behaviour, and shapes policies against terrorist groups. Auxiliary information will be posted on the book’s website. This book targets defence analysts, counter terror analysts, computer scientists, mathematicians, political scientists, psychologists, and researchers from the wide variety of fields engaged in counter-terrorism research. Advanced-level students in computer science, mathematics and social sciences will also find this book useful.

Information Technology --- Artificial Intelligence --- Terrorism -- Prevention. --- Terrorism. --- Terrorism --- Mechanical Engineering --- Engineering & Applied Sciences --- Social Welfare & Social Work --- Social Sciences --- Computer Science --- Mechanical Engineering - General --- Criminology, Penology & Juvenile Delinquency --- Prevention --- Data processing --- Acts of terrorism --- Attacks, Terrorist --- Global terrorism --- International terrorism --- Political terrorism --- Terror attacks --- Terrorist acts --- Terrorist attacks --- World terrorism --- Computer science. --- Mathematical statistics. --- Data mining. --- Artificial intelligence. --- Application software. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Probability and Statistics in Computer Science. --- Data Mining and Knowledge Discovery. --- Criminology and Criminal Justice, general. --- Computer Appl. in Social and Behavioral Sciences. --- Direct action --- Insurgency --- Political crimes and offenses --- Subversive activities --- Political violence --- Terror --- Criminology. --- Social sciences --- Artificial Intelligence. --- Data processing. --- Crime --- Criminals --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- 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 --- Study and teaching --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods

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This book constitutes the refereed proceedings of the 7th International Conference on Scalable Uncertainty Management, SUM 2013, held in Washington, DC, USA, in September 2013. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 57 submissions. The papers cover topics in all areas of managing and reasoning with substantial and complex kinds of uncertain, incomplete or inconsistent information including applications in decision support systems, machine learning, negotiation technologies, semantic web applications, search engines, ontology systems, information retrieval, natural language processing, information extraction, image recognition, vision systems, data and text mining, and the consideration of issues such as provenance, trust, heterogeneity, and complexity of data and knowledge.

Mechanical Engineering --- Engineering & Applied Sciences --- Computer Science --- Mechanical Engineering - General --- Computer science. --- Computer communication systems. --- Database management. --- Data mining. --- Information storage and retrieval. --- Artificial intelligence. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Information Systems Applications (incl. Internet). --- Information Storage and Retrieval. --- Computer Communication Networks. --- Database Management. --- Data Mining and Knowledge Discovery. --- Uncertainty (Information theory) --- Information storage and retrieva. --- Artificial Intelligence. --- 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 --- 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 --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- 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 --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Application software. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Distributed processing

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This is the first book  that uses cyber-vulnerability data to explore the vulnerability of over four million machines per year, covering a two-year period as reported by Symantec. Analyzing more than 20 billion telemetry reports comprising malware and binary reputation reports, this book quantifies the cyber-vulnerability of 44 countries for which at least 500 hosts were monitored.  Chapters explain the context for this data and its impact, along with explaining how the cyber-vulnerability is calculated. This book also contains a detailed summary of the cyber-vulnerability of dozens of nations according to the percentage of infected hosts and number of infections. It identifies relationships between piracy rates, GDP and other country indicators. The book contains detailed information about potential cyber-security policies that 44 countries have announced, as well as an analysis of gaps in cyber-security policies in general. The Global Cyber-Vulnerability Report targets researchers and  professionals including government and military workers, policy-makers and law-makers  working in cybersecurity or the web intelligence fields. Advanced-level students in computer science will also find this report valuable as a reference.

Computer Science --- Engineering & Applied Sciences --- Computer security. --- Cyberterrorism. --- Malware (Computer software) --- Computer code, Malicious --- Malevolent software --- Malicious computer code --- Malicious software --- Software, Malevolent --- Software, Malicious --- Attacks on computers --- Computer attacks --- Cyber attacks --- Cyber terrorism --- Cyber war --- Cyberwarfare --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Security of computer systems --- Security measures --- Protection of computer systems --- Protection --- Computer science. --- Artificial intelligence. --- System safety. --- Statistics. --- Computer Science. --- Systems and Data Security. --- Security Science and Technology. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Data protection --- Security systems --- Hacking --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- 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 --- Informatics --- Science --- Prevention --- Computer crimes --- Terrorism --- Computer software --- Statistics for Social Sciences, Humanities, Law. --- Artificial Intelligence. --- Electronic terrorism (Cyberterrorism) --- Statistics . --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software)

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This Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure. It explores correctness and algorithmic complexity results for both algorithms and experiments comparing their performance on both real-world and synthetic data. Topics addressed include optimal state change attempts, state change effectiveness, different kind of effect estimators, planning under uncertainty and experimental evaluation. These topics will help researchers analyze tabular data, even if the data contains states (of the world) and events (taken by an agent) whose effects are not well understood. Event DBs are omnipresent in the social sciences and may include diverse scenarios from political events and the state of a country to education-related actions and their effects on a school system. With a wide range of applications in computer science and the social sciences, the information in this Springer Brief is valuable for professionals and researchers dealing with tabular data, artificial intelligence and data mining. The applications are also useful for advanced-level students of computer science.

Computer networks. --- Computer science -- Congresses. --- Computer science. --- Computer algorithms --- Artificial intelligence --- Engineering & Applied Sciences --- Mechanical Engineering --- Computer Science --- Mechanical Engineering - General --- Database management. --- Computer algorithms. --- Artificial intelligence. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- 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 --- Mathematical statistics. --- Data mining. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Data Mining and Knowledge Discovery. --- Database Management. --- Probability and Statistics in Computer Science. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithms --- Artificial Intelligence. --- Informatics --- Science --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistical methods

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Software agents are the latest advance in the trend toward smaller, modular pieces of code, where each module performs a well-defined, focused task or set of tasks. Programmed to interact with and provide services to other agents, including humans, software agents act autonomously with prescribed backgrounds, beliefs, and operations. Systems of agents can access and manipulate heterogeneously stored data such as that found on the Internet. After a discussion of the theory of software agents, this book presents IMPACT (Interactive Maryland Platform for Agents Collaborating Together), an experimental agent infrastructure that translates formal theories of agency into a functional multiagent system that can extend legacy software code and application-specific or legacy data structures. The book describes three sample applications: a store, a self-correcting auto-pilot, and a supply chain.

Intelligent agents (Computer software) --- Heterogeneous computing. --- Computer Science --- Engineering & Applied Sciences --- Heterogeneous processing (Computers) --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- High performance computing --- Parallel processing (Electronic computers) --- Artificial intelligence --- Computer programs --- Heterogeneous computing --- E-books --- COMPUTER SCIENCE/Robotics & Agents --- Computers --- Enterprise Applications --- Business Intelligence Tools. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace