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1

Doukidis, Georgios I., and Ray J. Paul, eds. Artificial Intelligence in Operational Research. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12362-9.

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2

Tyler, Brian J. Intelligence and design thinking about operational art. Maxwell Air Force Base, Alabama: Air University Press, Air Force Research Institute, 2014.

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3

Very special intelligence: The story of the Admiralty's Operational Intelligence Centre, 1939-1945. London: Greenhill Books, 2000.

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4

Beesly, Patrick. Very special intelligence: The story of the Admiralty's Operational Intelligence Centre, 1939-1945. London: Chatham, 2006.

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5

Solving operational business intelligence with Infosphere Warehouse advanced edition. [Place of publication not identified]: Vervante, 2012.

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6

Cesar, Edison. Finding a new approach to measure the operational value of intelligence for military operations: Annotated briefing. Santa Monica, CA: RAND, 1992.

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7

Singer, Abe. Information warfare: An old operational concept with new implications. [Washington, D.C.?]: National Defense University, Institute for National Strategic Studies, 1996.

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8

Association, American Psychological, ed. Ethical practice in operational psychology: Military and national intelligence applications. Washington, DC: American Psychological Assoc., 2011.

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9

Kennedy, Carrie H., and Thomas J. Williams, eds. Ethical practice in operational psychology: Military and national intelligence applications. Washington: American Psychological Association, 2011. http://dx.doi.org/10.1037/12342-000.

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10

Cesar, E. Finding a new approach to measure the operational value of intelligence for military operations: Annotated briefing. Santa Monica, CA: Rand, 1992.

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11

Hänel, Tom. Operational Business Intelligence im Kontext der Analyse und Steuerung von Geschäftsprozessen. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-16635-9.

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12

N, Armstrong Richard. Soviet operational deception: The red cloak. Fort Leavenworth, Kan: Combat Studies Institute, 1988.

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13

1948-, Rosenberg David Alan, and Balano Randy Carol 1959-, eds. The admirals advantage: U.S. Navy operational intelligence in World War II and the Cold War. Annapolis, MD: Naval Institute Press, 2005.

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14

Ford, Christopher A. The admirals advantage: U.S. Navy operational intelligence in World War II and the Cold War. Annapolis, MD: Naval Institute Press, 2005.

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15

Black ops, Vietnam: The operational history of MACVSOG. Annapolis, Md: Naval Institute Press, 2011.

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16

Corps, United States Marine. Intelligence operations. Washington, DC: Headquarters, U.S. Marine Corps, 2003.

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17

United States. Congress. House. Committee on Homeland Security. Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment. Department of Homeland Security intelligence and border security: Delivering operational intelligence : hearing before the Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment of the Committee on Homeland Security, U.S. House of Representatives, One Hundred Ninth Congress, second session, June 28, 2006. Washington: U.S. G.P.O., 2007.

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18

United States. Congress. House. Committee on Homeland Security. Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment. Department of Homeland Security intelligence and border security: Delivering operational intelligence : hearing before the Subcommittee on Intelligence, Information Sharing, and Terrorism Risk Assessment of the Committee on Homeland Security, U.S. House of Representatives, One Hundred Ninth Congress, second session, June 28, 2006. Washington: U.S. G.P.O., 2007.

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19

Eftimiades, Nicholas. Chinese intelligence operations. Arlington, Va: Newcomb Publishers, 1998.

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20

Eftimiades, Nicholas. Chinese intelligence operations. Canada: Mirror, 1998.

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21

Eftimiades, Nicholas. Chinese intelligence operations. Annapolis, Md: Naval Institute Press, 1994.

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22

Chinese intelligence operations. Ilford: Frank Cass, 1994.

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23

Jonathan, Bloch, ed. KGB CIA: Intelligence and counter-intelligence operations. New York: Exeter Books, 1987.

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24

U.S. DEPT. OF THE ARMY. Human intelligence collector operations. Washington, D.C: Headquarters, Dept. of the Army, 2006.

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25

Välimäki, Pasi. Intelligence in peace support operations. Helsinki: National Defence College, 2000.

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26

Holsapple, C. W. Operations research and artificial intelligence. Norwood, N.J: Ablex Pub. Corp., 1994.

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27

Rapp, Burt. Deep cover: Police intelligence operations. Boulder, Colo: Paladin Press, 1989.

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28

Operation systems: Humans--intelligence--machines. La Canada, CA: HAI--Publishers, 1998.

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29

Kahn, Martin. Measuring Stalin's strength during total war: U.S. and British intelligence on the economic and military potential of the Soviet Union during the Second World War, 1939-45. Göteborg: Ekonomisk-historiska institutionen vid Göteborgs universitet, 2004.

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30

National Research Council (U.S.). Committe on C4ISR for Future Naval Strike Groups. C4ISR for future naval strike groups. Washington, D.C: National Academies Press, 2006.

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31

Constantine, G. Ted. Intelligence support to humanitarian-disaster relief operations: An intelligence monograph. [Washington, D.C.]: Central Intellegence Agency, Center for the Study of Intelligence, 1995.

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32

Philippines. Office of the Deputy Chief of Staff for Intelligence. Human rights-based intelligence operations guidebook. Quezon City, Philippines: Office of the Deputy Chief of Staff for Intelligence, Armed Forces of the Philippines, 2011.

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33

Clancy, Tom. Operation Baracuda. New York: Berkley Books, 2005.

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34

Cao, Bing-Yuan. Fuzzy Engineering and Operations Research. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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35

Peterson, Marilyn B. Intelligence-led policing: The new intelligence architecture. Washington, DC: U.S. Dept. of Justice, Office of Justice Programs, Bureau of Justice Assistance, 2005.

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36

Soviet Operational Intelligence In The Kursk Operation. Fort Leavenworth, Kan.: Soviet Army Studies Office, U.S. Army Combined Arms Center, 1988.

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37

1958-, Doukidis Georgios I., and Paul Ray J, eds. Artificial intelligence in operational research. Basingstoke [England]: Macmillan, 1992.

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38

Doukidis, G. I., and R. J. Paul. Artificial Intelligence in Operational Research. Palgrave, 2014.

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39

Oakley, David P. Subordinating Intelligence. University Press of Kentucky, 2019. http://dx.doi.org/10.5810/kentucky/9780813176703.001.0001.

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Since September 11, 2001 (9/11), the US Central Intelligence Agency (CIA) and Department of Defense (DoD) have operated together in Afghanistan, Iraq, and elsewhere during counterterrorism operations. Although the global war on terrorism provided a common purpose, it was actions taken in the late 1980s and 1990s that set the foundation for their current relationship. Driven by the post–Cold War environment and lessons learned, policy makers made military support the Intelligence Community’s top priority. In response, the CIA and DoD instituted changes that altered their relationship. While congressional debates over the Intelligence Community’s future were occurring, the CIA and DoD were expanding their relationship during operations. By the late 1990s, some policy makers and national security professionals became concerned that intelligence support to military operations had gone too far, weakening long-term analysis. Despite concerns, no major changes to intelligence organization or priorities were implemented. These concerns were forgotten after 9/11, as the United States fought two wars and policy makers fixated on terrorism. The DoD/CIA operational relationship has led to successes, but the CIA’s counterterrorism and military support requirements place a significant burden on the organization. As the sole independent US intelligence organization, the CIA was conceived to separate intelligence collection from the institutions that develop and execute policy. Its increased focus on support to military operations weakens this separation, reduces its focus on strategic issues, and risks subordination to the DoD. The CIA and DoD are the ones affected by this evolving relationship, but policy makers’ preference for military force and the militarization of foreign policy has led both organizations down this path.
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40

(Afterword), Ralph Erskine, and W. J. R. Gardner (Introduction), eds. Very Special Intelligence: The Story of the Admiralty's Operational Intelligence Centre 1939-1945. US Naval Institute Press, 2006.

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41

Beesley, Patrick. Very Special Intelligence: The Story of the Admiralty's Operational Intelligence Centre 1939-1945. Pen & Sword Books Limited, 2015.

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42

Ferris, John. Intelligence in War. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.405.

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A large literature has emerged on intelligence and war which integrates the topics and techniques of two disciplines: strategic studies and military history. The literature on intelligence and war is divided into theory and strategy; command, control, communications, and intelligence (C3I); sources; military estimates in peace; deception; conventional operations; strike; and counter-insurgency and guerilla warfare. Sun Tzu treats intelligence as central to all forms of power politics, and even defines strategy and warfare as “the way of deception.” On the other hand, C3I combines signals and data processing technology, command as thought, process and action, the training of people, and individual and bureaucratic modes of learning. Since 1914, the power of secret sources has risen dramatically in peace and war, revolutionizing the value of intelligence for operations, especially at sea. The strongest area in this study is signals intelligence. Meanwhile, the relationship of intelligence with war, and with power politics, overlaps on the matter of military estimates during peacetime. The literature on operational intelligence is strongest on World War II. However, analysts have particularly failed to differentiate the effect of intelligence on operations, from that on a key element of military power since 1914: strike warfare. In counter-insurgency, many types and levels of war and intelligence overlap, which include guerillas, conventional and strike forces, and politics in villages and capitals.
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43

J, Williams Thomas, Kennedy Carrie H, and American Psychological Association, eds. Ethical practice in operational psychology: Military and national intelligence. Washington, DC: American Psychological Assoc., 2010.

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44

1924-, Cesar Edison, United States Army, and Rand Corporation, eds. A New approach for measuring the operational value of intelligence for military operations: Final report. Santa Monica, CA: Rand Corp., 1994.

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45

Bumgarner, Vincent. Implementing Splunk: Big Data Reporting and Development for Operational Intelligence. Packt Publishing, 2013.

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46

Ethical practice in operational psychology: Military and national intelligence applications. Washington, DC: American Psychological Assoc., 2010.

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47

Redbooks, IBM. From Multiplatform Operational Data to Data Warehousing and Business Intelligence. Ibm, 1998.

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48

(Editor), Henry Appelbaum, Wendy Hilton-Jones (Editor), and Lloyd D. Salvetti (Editor), eds. Studies in Intelligence Fall 2000: Articles on the Historical, Operational, Doctrinal and Theoretical Aspects of Intelligence. 4th ed. Diane Pub Co, 2000.

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49

Salvetti, Lloyd D. Studies in Intelligence: A Collection of Articles on the Historical Operational, Doctrinal & Theoretical Aspects of Intelligence. Diane Pub Co, 2000.

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50

Proudfoot, Diane, and B. Jack Copeland. Artificial Intelligence. Edited by Eric Margolis, Richard Samuels, and Stephen P. Stich. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195309799.013.0007.

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In this article the central philosophical issues concerning human-level artificial intelligence (AI) are presented. AI largely changed direction in the 1980s and 1990s, concentrating on building domain-specific systems and on sub-goals such as self-organization, self-repair, and reliability. Computer scientists aimed to construct intelligence amplifiers for human beings, rather than imitation humans. Turing based his test on a computer-imitates-human game, describing three versions of this game in 1948, 1950, and 1952. The famous version appears in a 1950 article inMind, ‘Computing Machinery and Intelligence’ (Turing 1950). The interpretation of Turing's test is that it provides an operational definition of intelligence (or thinking) in machines, in terms of behavior. ‘Intelligent Machinery’ sets out the thesis that whether an entity is intelligent is determined in part by our responses to the entity's behavior. Wittgenstein frequently employed the idea of a human being acting like a reliable machine. A ‘living reading-machine’ is a human being or other creature that is given written signs, for example Chinese characters, arithmetical symbols, logical symbols, or musical notation, and who produces text spoken aloud, solutions to arithmetical problems, and proofs of logical theorems. Wittgenstein mentions that an entity that manipulates symbols genuinely reads only if he or she has a particular history, involving learning and training, and participates in a social environment that includes normative constraints and further uses of the symbols.
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