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    Epistemology of Intelligence Agencies
    Epistemology of Intelligence Agencies
    Epistemology of Intelligence Agencies
    Ebook109 pages1 hour

    Epistemology of Intelligence Agencies

    By Nicolae Sfetcu

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    About this ebook

    About the analogy between the epistemological and methodological aspects of the activity of intelligence agencies and some scientific disciplines, advocating for a more scientific approach to the process of collecting and analyzing information within the intelligence cycle. I assert that the theoretical, ontological and epistemological aspects of the activity of many intelligence agencies are underestimated, leading to incomplete understanding of current phenomena and confusion in inter-institutional collaboration. After a brief Introduction, which includes a history of the evolution of the intelligence concept after World War II, Intelligence Activity defines the objectives and organization of intelligence agencies, the core model of these organizations (the intelligence cycle), and the relevant aspects of the intelligence gathering and intelligence analysis. In the Ontology section, I highlight the ontological aspects and the entities that threaten and are threatened. The Epistemology section includes aspects specific to intelligence activity, with the analysis of the traditional (Singer) model, and a possible epistemological approach through the concept of tacit knowledge developed by scientist Michael Polanyi. In the Methodology section there are various methodological theories with an emphasis on structural analytical techniques, and some analogies with science, archeology, business and medicine. In Conclusions I argue on the possibility of a more scientific approach to methods of intelligence gathering and analysis of intelligence agencies.

    CONTENTS:

    Abstract
    1 Introduction
    1.1. History
    2. Intelligence activity
    2.1. Organizations
    2.2. Intelligence cycle
    2.3 Intelligence gathering
    2.4. Intelligence analysis
    2.5. Counterintelligence
    2.6. Epistemic communities
    3. Ontology
    4. Epistemology
    4.1. The tacit knowledge (Polanyi)
    5. Methodologies
    6. Analogies with other disciplines
    6.1. Science
    6.2. Archeology
    6.3. Business
    6.4. Medicine
    7. Conclusions
    Bibliography

    DOI: 10.13140/RG.2.2.12971.49445

    LanguageEnglish
    PublisherNicolae Sfetcu
    Release dateApr 7, 2019
    ISBN9786060332183
    Epistemology of Intelligence Agencies
    Author

    Nicolae Sfetcu

    Owner and manager with MultiMedia SRL and MultiMedia Publishing House. Project Coordinator for European Teleworking Development Romania (ETD) Member of Rotary Club Bucuresti Atheneum Cofounder and ex-president of the Mehedinti Branch of Romanian Association for Electronic Industry and Software Initiator, cofounder and president of Romanian Association for Telework and Teleactivities Member of Internet Society Initiator, cofounder and ex-president of Romanian Teleworking Society Cofounder and ex-president of the Mehedinti Branch of the General Association of Engineers in Romania Physicist engineer - Bachelor of Science (Physics, Major Nuclear Physics). Master of Philosophy.

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      Book preview

      Epistemology of Intelligence Agencies - Nicolae Sfetcu

      Abstract

      In this paper I highlight the analogy between the epistemological and methodological aspects of the activity of intelligence agencies and some scientific disciplines, advocating for a more scientific approach to the process of collecting and analyzing information within the intelligence cycle. I assert that the theoretical, ontological and epistemological aspects of the activity of many intelligence agencies are underestimated, leading to incomplete understanding of current phenomena and confusion in inter-institutional collaboration. After a brief Introduction, which includes a history of the evolution of the intelligence concept after World War II, Intelligence Activity defines the objectives and organization of intelligence agencies, the core model of these organizations (the intelligence cycle), and the relevant aspects of the intelligence gathering and intelligence analysis. In the Ontology section, I highlight the ontological aspects and the entities that threaten and are threatened. The Epistemology section includes aspects specific to intelligence activity, with the analysis of the traditional (Singer) model, and a possible epistemological approach through the concept of tacit knowledge developed by scientist Michael Polanyi. In the Methodology section there are various methodological theories with an emphasis on structural analytical techniques, and some analogies with science, archeology, business and medicine. In Conclusions I argue on the possibility of a more scientific approach to methods of intelligence gathering and analysis of intelligence agencies.

      1 Introduction

      Information is power. This perception has intensified during the Second World War, when several intelligence agencies has been formalized and significantly increased. In all countries, new agencies and departments have been set up to deal with threats. Governments are currently spending huge amounts for the intelligence agencies that are considered a major component of national security systems. The intelligence agencies are primarily responsible for identifying and preventing threats to national security, promptly and effectively informing decision-makers about these threats, and accurate and timely assessments and predictions of future conflicts or threats.

      Intelligence includes a wide variety of meanings in different contexts, from daily to technical. Stewart believes that the transformation of information into knowledge is a critical one, which is the basis for creating value and competitive advantage for modern activities. (Stewart 2001)

      The process of intelligence gathering, processing and analyzing is a major concern for today's society, with the help of areas such as information technology, information systems, and information science. For this purpose, specific processes and techniques are used for gathering or generating intelligence, processing it through analysis and synthesis, generating predictions and strategies, transmitting and presenting it to decision maker, and storing it. 

      Information science deals with analyzing, collecting, classifying, manipulating, storing, retrieving and disseminating information. (Sfetcu 2016) It is often (mistakenly) considered a branch of computer science. Information science addresses systemic problems from the perspective of the people involved and can be considered as a response to technological determinism. The information philosophy studies the specific conceptual aspects, including the investigation of conceptual nature and the basic principles of information, their dynamics, their use, and the elaboration and application of theoretical information and specific methodologies. (Floridi 2002) In information science, an ontology formally represents knowledge as a set of concepts, and the relationship between these concepts.

      Information extraction is the science of document search, document information, and document metadata, as well as search in relational databases and the Internet. Each type of search has its own features, theories, practices and technologies. Access to information is a field of research aimed at automating the processing of large and cumbersome amounts of information and simplifying users' access to them. The information architecture focuses on the principles of design and architecture in the digital landscape based on a model or concept of information being used in intelligence analysis activities. Information management involves collecting and managing information from one or more sources and distributing this information to one or more segments. Knowledge representation is a field of research that aims to represent knowledge in symbols to facilitate the interference between these elements of knowledge and the creation of new elements of knowledge. Exploring the representation of knowledge implies an analysis of the reasoning. Logic is used to provide formal semantics of how reasoning functions should be applied to symbols in the knowledge representation system, and to define how operators can process and reshape knowledge. (Deshmukh and Ali 2014)

      Information systems are organized for collecting, organizing, storing and communicating information. The field of information systems is complementary to that of collecting, filtering, processing, creating and distributing data. (Sfetcu 2016) Any specific information system is intended to support operations, management and decision-making. (Bulgacs 2013) Information systems interrelate with data systems and activity systems on the other, being a communications system in which data is represented and is processed as a form of social memory. An information system can also be considered a semi-formal language that supports decision-making and human action. Silver et al. have provided two perspectives for SI including software, hardware, data, people, and procedures. (Silver, Markus, and Beath 1995) Zheng offered another approach to the information system, (Zheng 2014) which also adds essential system processes and elements such as environment, limit, purpose, and interactions.

      1.1. History

      Collecting, analyzing, and using information about opponents have existed since ancient times. Sun Tzu, an ancient Chinese strategist in the Art of War, (Yuen 2014) stressed the need to understand yourself and the enemy through information, identifying different roles: the secret agent, the penetration agent, and the misinformation agent. Sun Tzu highlighted the need for a methodology and noted the role of counterinformation, double agents and psychological warfare. In India, in the 4th century BC, Chanakya (also called Kautilya) wrote Arthashastra, a state management and political economy manual, providing a detailed methodology of intelligence gathering, processing, and consumption operations as an indispensable means for maintaining and expanding the security and state power. (Shoham and Liebig 2016) King David IV of Georgia, at the beginning of the twelfth century, used spies to discover feudal conspiracy and infiltration into key locations. (Aladashvili 2017) The Aztecs used traders and diplomats with diplomatic immunity for espionage. (Soustelle 2002)

      Francis Walsingham was the first European to use modern espionage methods in Elizabethan England, helping with experts in various fields. (Andrew 2018) In the eighteenth century there was a dramatic expansion of espionage activities. In France under the King Louis XIV (1643-1715) and under the leadership of Cardinal Mazarin (1642-1661), a well-organized information system was set up. To cope with the wars with France, London has also set up a

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