Epistemology of Intelligence Agencies

By Sfetcu, Nicolae

Book Id: WPLBN0100301970
Format Type: PDF eBook:
File Size: 0.1 MB
Reproduction Date: 5/27/2019

Title:	Epistemology of Intelligence Agencies
Author:	Sfetcu, Nicolae
Volume:
Language:	English
Subject:	Non Fiction, Military Science, intelligence
Collections:	Authors Community, Sociology
Historic Publication Date:	2019
Publisher:	MultiMedia Publishing

Member Page:	Nicolae Sfetcu
Citation APA MLA Chicago Sfetcu, B. N. (2019). Epistemology of Intelligence Agencies. Retrieved from http://gutenberg.cc/

Description
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. DOI: 10.13140/RG.2.2.12971.49445

Summary
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. DOI: 10.13140/RG.2.2.12971.49445

Excerpt
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.

Table of 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