Difference between revisions of "Intelligence Analysis: A Crash Course"

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Jobst Landgrebe and Barry Smith, "[https://arxiv.org/pdf/1906.05833.pdf Why Turing machines cannot pass the Turing test]", ''arXiv'', 2019.
Jobst Landgrebe and Barry Smith, "[https://arxiv.org/pdf/1906.05833.pdf Why Turing machines cannot pass the Turing test]", ''arXiv'', 2019.
==October 21: Ontology of Terrorism 1 ==
==October 21: Ontology of Terrorism ==
:[https://buffalo.box.com/v/Ontology-of-Terrorism Slides]
:[https://buffalo.box.com/v/Ontology-of-Terrorism Slides]
:[https://www.youtube.com/watch?v=G4lg1_-XpiE Video]
:[https://www.youtube.com/watch?v=G4lg1_-XpiE Video]
Ontology of Documents: From Speech Acts to Document Acts
:[https://buffalo.box.com/s/2iueose1ii7l20bu50lmrofvh3l41c7x Slides]
:[https://www.youtube.com/watch?v=5chInYVVypI Video]
"[http://ontology.buffalo.edu/smith/articles/STIDS-2013.pdf IAO-Intel: An Ontology of Information Artifacts in the Intelligence Domain]”, ''Proceedings of the Eighth International Conference on Semantic Technologies for Intelligence, Defense, and Security'', Fairfax, VA (STIDS 2013), 33-40.
==October 28: Ontology of Terrorism 2==
==October 28: Ontology of Terrorism 2==

Revision as of 08:32, 27 October 2019

Intelligence Analysis: A Crash Course

Special Topic PHI 579


Class#: 24032 (PHI)

Instructors: Barry Smith, David Limbaugh

Prerequisites: Open to all persons with an undergraduate degree.

Office hours: By appointment via email at phismith@buffalo.edu or dglimbau@buffalo.edu

The Course

Course Description: This course will provide an introduction to intelligence analysis, covering both the practical and the theoretical aspects of the intelligence process. We will cover a range of topics including: the nature and goals of intelligence analysis; the cognitive processes involved; the different types of evidence used; analytical reasoning; the role of AI and other forms of computer support to intelligence analysis.

Course Structure: This is a three credit hour graduate seminar, with a practical exercise forming part of each class. The final session will be structured around youtube videos created by the students in the class. Students will be trained in the basic tools and methods of intelligence analysis, and will also receive an insight into the overall context into which intellligence analysis fits.

Target Audience: The course is open to all interested students, and will presupposen no knowledge of philosophy or of intelligence analysis.

Intelligence Analysis in Buffalo: UB scientists are involved in a variety of projects in which intelligence analysis plays a role, and some of the intelligence community collaborators in these projects will be involved in the teaching.


August 26: Introduction: Will World War 3 be fought on the internet?

Will the World War 3 be fought on the internet?


An Introduction to the Joint Doctrine Ontology


September 9: Ontology and the Intelligence Process

Will feature presentation by COL William Mandrick, PhD on

The Intelligence Process



Background reading: Joint Intelligence

September 16: An Introduction to Basic Formal Ontology


September 23: Object-Based Production and Referent Tracking

Introduction to Object-Based Production
Agent-Based Intelligence and the philosophy of action

Werner Ceusters, Shahid Manzoor, "How to track absolutely everything", Ontologies and Semantic Technologies for the Intelligence Community (Frontiers in Artificial Intelligence and Applications), 2010, 13-36.

September 30: Enhanced Object-Based Production

RDF triples and Linked Open Data
Tracking change and tracking errors

Frederik Stjernfelt, "The ontology of espionage in reality and fiction", Sign Systems Studies, 31:1 (2003), 133-161

Werner Ceusters and Barry Smith, "Aboutness: Towards Foundations for the Information Artifact Ontology", Proceedings of the Sixth International Conference on Biomedical Ontology (ICBO). CEUR vol. 1515. pp. 1-5 (2015).

October 7: Joint Doctrine Ontology


Peter Morosoff, Ron Rudnicki, Jason Bryant, Robert Farrell, Barry Smith, "Joint Doctrine Ontology: A Benchmark for Military Information Systems Interoperability", Semantic Technology for Intelligence, Defense and Security (STIDS), 2015, CEUR vol. 1523, 2-9.


Department of Defense Dictionary of Military and Associated Terms
P. Morossof et al., "Joint Doctrine Ontology: A Benchmark for Military Information Systems Interoperability" (2015)

October 14: Meaningful AI vs. Deep Learning

Jobst Landgrebe and Barry Smith, "Making AI Meaningful Again", arXiv, 2019.


Jobst Landgrebe and Barry Smith, "Why Turing machines cannot pass the Turing test", arXiv, 2019.

October 21: Ontology of Terrorism


October 28: Ontology of Terrorism 2

R. R. Larsen and J. Hastings, "From Affective Science to Psychiatric Disorder: Ontology as a Semantic Bridge" (2018)

November 4: Organized Military Action

Massively planned social agency


November 11: Artificial Intelligence, Deep Learning, Machine Learning

Overview of machine learning and other approaches to the exploitation of Big Data
Role of ontology in Data Science


G. Marcus (2018), "Deep Learning: A Critical Appraisal"

November 18: Pedigree, Provenance, Classification, Clearance

November 25: Ontology and Data Fusion

December 2: Student Projects

Further topics

Common Knowledge
Internet of Battlefield Things (IoBT)
Belief Revision
Geographic Information Science
Intelligence Preparation of the Operational Environment
Machine Support for Intelligence Analysis


Joint Intelligence (to be read in advance of COL Mandrick class on September 9)

Robert Arp, Barry Smith and Andrew Spear, Building Ontologies with Basic Formal Ontology, Cambridge, MA: MIT Press, August 2015.

Barry Smith, Tatiana Malyuta, David Salmen, William Mandrick, Kesny Parent, Shouvik Bardhan, Jamie Johnson, "Ontology for the Intelligence Analyst", CrossTalk: The Journal of Defense Software Engineering, November/December 2012, 18-25.

Terry Janssen, Herbert Basik, Mike Dean, Barry Smith, "A Multi-INT Semantic Reasoning Framework for Intelligence Analysis Support", in: L. Obrst, T. Janssen, W. Ceusters (eds.), Ontologies and Semantic Technologies for the Intelligence Community (Frontiers in Artificial Intelligence and Applications), Amsterdam: IOS Press, 2010, 57-69.

David Salmen, Tatiana Malyuta, Alan Hansen, Shaun Cronen, Barry Smith, Integration of Intelligence Data through Semantic Enhancement", Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS), George Mason University, Fairfax, VA, November 16-17, 2011, CEUR, Vol. 808, 6-13.

Barry Smith, Tatiana Malyuta, William S. Mandrick, Chia Fu, Kesny Parent, Milan Patel, "http://ontology.buffalo.edu/smith/articles/Horizontal-integration.pdf Horizontal Integration of Warfighter Intelligence Data. A Shared Semantic Resource for the Intelligence Community", Proceedings of the Conference on Semantic Technology in Intelligence, Defense and Security (STIDS), George Mason University, Fairfax, VA, October 23-25, 2012, CEUR 996, 112-119.

Student Learning Outcomes

Program Outcomes/Competencies Instructional Method(s) Assessment Method(s)
The student will acquire a knowledge of the principles and procedures of intelligence analysis, and an insight into the philosophical methods and theories relevant thereto. The student will also acquire a familiarity with current theoretical research in areas relating to intelligence analysis. Lectures and class discussions Review of reading matter and associated online content and participation in class discussions
The student will acquire experience in practical tasks involved in intelligence analysis Participation in practical experiments Review of results
The student will acquire experience in communicating the results of work on intelligence analysis and its philosophical understanding Creation of youtube presentation and of associated documentation Review of results

Important dates

Sep 20 - about now start to discuss by email the content of your video and essay with Drs Smith and Limbaugh
Sep 28 - submit a proposed title and abstract
Oct 31 - submit a table of contents and 300 word summary plus draft of associated ppt slides
Nov 20 - submit penultimate draft of essay and powerpoint
Dec2 - class presentation
Dec 4 - submit final version of essay and powerpoint and upload final version of video to youtube


Grading will be based on two factors:

I: understanding and criticism of the material presented in classes 1-13

All students are required to take an active part in class (and where relevant on-line) discussions throughout the semester.

II: preparation of a youtube video and associated documentation (including powerpoint slides and essay).

Content and structure of the essay should be discussed with Drs Smith or Limbaugh. Where the essay takes the form of the documentation of a specific ontology developed by the student it should include:

Statement of scope of the ontology
Summary of existing ontologies in the relevant domain
Explanation of how your ontology differs from (or incorporates) these ontologies
Screenshots of parts of the ontology with some examples of important terms and definitions
Summaries of potential applications of the ontology

Grading Policy: Grading follows standard Graduate School policies. Grades will be weighted according to the following breakdown:

Weighting Assignment

40% - class discussions
20% - youtube video presentation
20% - powerpoint slides
20% - essay / ontology content

Final Grades

Percentages refer to sum of assignment grades as listed above

Grade Quality Percentage

A 4.0 90.0% -100.00%
A- 3.67 87.0% - 89.9%
B+ 3.33 84.0% - 86.9%
B 3.00 80.0% - 83.9%
B- 2.67 77.0% - 79.9%
C+ 2.33 74.0% - 76.9%
C 2.00 71.0% - 73.9%
C- 1.67 68.0% - 70.9%
D+ 1.33 65.0% - 67.9%
D 1.00 62.0% - 64.9%
F 0 61.9% or below

An interim grade of Incomplete (I) may be assigned if the student has not completed all requirements for the course. An interim grade of 'I' shall not be assigned to a student who did not attend the course. The default grade accompanying an interim grade of 'I' shall be 'U' and will be displayed on the UB record as 'IU.' The default Unsatisfactory (U) grade shall become the permanent course grade of record if the 'IU' is not changed through formal notice by the instructor upon the student's completion of the course.

Assignment of an interim 'IU' is at the discretion of the instructor. A grade of 'IU' can be assigned only if successful completion of unfulfilled course requirements can result in a final grade better than the default 'U' grade. The student should have a passing average in the requirements already completed. The instructor shall provide the student specification, in writing, of the requirements to be fulfilled.

The university’s Graduate Incomplete Policy can be found here.

Related Policies and Services

Academic integrity is a fundamental university value. Through the honest completion of academic work, students sustain the integrity of the university while facilitating the university's imperative for the transmission of knowledge and culture based upon the generation of new and innovative ideas. See http://grad.buffalo.edu/Academics/Policies-Procedures/Academic-Integrity.html.

Accessibility resources: If you have any disability which requires reasonable accommodations to enable you to participate in this course, please contact the Office of Accessibility Resources in 60 Capen Hall, 645-2608 and also the instructor of this course during the first week of class. The office will provide you with information and review appropriate arrangements for reasonable accommodations, which can be found on the web here.

Background Reading and Video Materials