Difference between revisions of "Intelligence Analysis: A Philosophical Introduction"

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== '''The Course''' ==
 
== '''The Course''' ==
'''Course Description:''' The aim of the course is to provide a philosophical introduction to intelligence analysis. This will involve applying the methods of philosophy to a range of topics including: the cognitive processes involved in intelligence analyst, the different types of evidence, the goals of intelligence analysis, statistical aspects of analytic reasoning, analytic reasong and deep learning. Philosophical methods employed will include those of epistemology, social ontology, cognitive ontology, and the philosophy of computing and information.  
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'''Course Description:''' The aim of the course is to provide a philosophical introduction to intelligence analysis. We will apply the methods of philosophy to a range of topics including: the nature and goals of intelligence analysis; the cognitive processes involved; the different types of evidence used; statistical aspects of analytic reasoning; the role of AI and other forms of computer support. Philosophical methods employed will include those of epistemology, social ontology, cognitive ontology, and the philosophy of computing and information.  
  
'''Course Structure:''' This will be a three credit hour graduate seminar. Components of each three-hour seminar will be incorporated into a series of on-line videos. The final session will be structured around youtube videos created by the students in the class.
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'''Course Structure:''' This is a three credit hour graduate seminar. Components of each three-hour seminar will be incorporated into a series of on-line videos. The final session will be structured around youtube videos created by the students in the class.
 
   
 
   
  
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Jobst Landgrebe and Barry Smith, "[https://arxiv.org/pdf/1901.02918.pdf Making AI Meaningful Again]", ''arXiv'', 2019.
 
Jobst Landgrebe and Barry Smith, "[https://arxiv.org/pdf/1901.02918.pdf Making AI Meaningful Again]", ''arXiv'', 2019.
  
'''Intelligence Analysis in Buffalo''': UB scientists are involved in a variety of projects in which intelligence analysis plays a role.
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Barry Smith, Tatiana Malyuta, David Salmen, William Mandrick, Kesny Parent, Shouvik Bardhan, Jamie Johnson, "[http://ontology.buffalo.edu/smith/articles/Crosstalk-Nov2012.pdf Ontology for the Intelligence Analyst]", ''CrossTalk: The Journal of Defense Software Engineering'', November/December 2012, 18-25.
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Terry Janssen, Herbert Basik, Mike Dean, Barry Smith, "http://ontology.buffalo.edu/smith/articles/Semantic_Reasoning_Framework.pdf 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.
 +
 
 +
'''Intelligence Analysis in Buffalo''': UB scientists are involved in a variety of projects in which intelligence analysis plays a role, and some of their intelligence community collaborators in these projects will be involved in the teaching.
 
   
 
   
 
'''Schedule:'''  
 
'''Schedule:'''  
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==September 2: Labor Day – No class==
 
==September 2: Labor Day – No class==
  
==September 9 Basic Formal Ontology==
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==September 9 The Intelligence Process ==
  
==September 16: Ontology and Information Engineering in the Healthcare Domain==
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==September 16: Intelligence Documents==
  
:Ontology look-alikes
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==September 23: Referent Tracking==
:Use of ontology and look-alikes in biomedical applications
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:BFO as benchmark for biomedical Information Engineering (IE)
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[http://www.referent-tracking.com/RTU/files/BMI508-PHI598-20180917-Ontology-and-Healthcare-IE-covered.pptx Slides]
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Second class assignment: Summarize in a 2-page essay the problems discussed in ([https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3912703/ SW Smith and Koppel, 2014]) and describe how Basic Formal Ontology can assist in dealing solving them
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Advance reading (prior to October 1 lecture): [https://www.hindawi.com/journals/bmri/2014/134023/ Merelli, ''et al'', 2014]
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==September 23: Ontology of Disease==
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:Disease from the clinician’s perspective,
 
:Disease from the clinician’s perspective,
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==September 30: Disease / Aging / Ontology Building ==
 
==September 30: Disease / Aging / Ontology Building ==
  
Ontology of Disease (Continued)
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Introduction to ontology for intelligence analysts
 
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Introduction to epistemology for intelligence analysts
[https://buffalo.box.com/s/e19121ir7g10uvkpmgjp881qu8t6s8rk Slides]
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introduction to logic for intelligence analysts
[https://buffalo.box.com/s/pwsqct5xmjlave0ivhhn8c3sborqp2s5 Video]
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Introduction to the philosophy of computing and information for intelligence analysts
 
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Ontology of Aging
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[https://buffalo.box.com/s/1pg9hjg8qurqrovtvjfl38nilheyqq4u Slides]
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[https://buffalo.box.com/s/0omqle9eq4upir02owjxbyyk18jkdsmh Video]
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Ontology Building
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[https://buffalo.box.com/s/w2is3tp3h0ef8yf3hpg9wkfs9brrqn1p Slides] [https://buffalo.box.com/s/hgfmxwdwlq05yptyp93ieq5haakde8zx Video]
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Reading:
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:[https://philpapers.org/rec/SCHTAO-29 Toward an Ontological Treatment of Disease and Diagnosis]
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==October 7: Introduction to Protégé ==
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[https://protege.stanford.edu/ Protégé] is the leading open-source ontology editor
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This class taught by [https://www.linkedin.com/in/brian-donohue-72318973/ Brian Donohue]
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[https://buffalo.box.com/s/pb0bb6tc7dxfbjdtqw4kd64r61flydco Slides]
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[https://buffalo.box.com/s/uwy5pxuq96ira873aij43gx7u69emv9b Video]
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Fourth class assignment: Create a simple ontology using Protégé. Deadline: noon, 25 October.
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==October 14: Pain / Bruxism / Embryontology ==
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Ontology of Pain
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[https://buffalo.box.com/s/p1fn1n0ydvekzu3c5b3fc7q9vbgxh9a4 Slides] [https://buffalo.box.com/s/7jfap1h4mzn6yelve37dzjq0l7fp3jpt Video]
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Bruxism
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[https://buffalo.box.com/s/p9t9iuol7p1rtcuvkd2voogboh4vr5uy Slides]
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Referent tracking and Object-Based Production
[https://buffalo.box.com/s/7bhyo2l47re85ll6auf53a5xaj1b47f2 Video]
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Agent-Based Intelligence and the philosophy of action
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Common Knowledge
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Uncertainty
  
Embryontology
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Meaningful AI vs. Deep Learning
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Belief Revision
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Uncertainty
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Pedigree and Provenance
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Geographic Information Science
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Intelligence Preparation of the Operational Environment
  
[https://buffalo.box.com/s/wmdfryxwrj59bb4mbyhwfaj0ez9g10z8 Slides]
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==October 7: ==
[https://buffalo.box.com/s/7bhyo2l47re85ll6auf53a5xaj1b47f2 Video]
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'''Readings:'''
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==October 14: ==
:[http://ontology.buffalo.edu/smith/articles/pain.pdf "Ontology of Pain"]
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:[http://ontology.buffalo.edu/smith/articles/embryontology.pdf "16 Days"]
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Fifth class assignment: Create a plan for your presentation on December 3
 
  
 
==October 21: Joint Doctrine Ontology / Building an Ethical Warfighter / Terrorism==
 
==October 21: Joint Doctrine Ontology / Building an Ethical Warfighter / Terrorism==

Revision as of 15:23, 24 February 2019

Intelligence Analysis: A Philosophical Introduction Special Topic PHI 589

Registration:

Class#: XXXXX (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: The aim of the course is to provide a philosophical introduction to intelligence analysis. We will apply the methods of philosophy to a range of topics including: the nature and goals of intelligence analysis; the cognitive processes involved; the different types of evidence used; statistical aspects of analytic reasoning; the role of AI and other forms of computer support. Philosophical methods employed will include those of epistemology, social ontology, cognitive ontology, and the philosophy of computing and information.

Course Structure: This is a three credit hour graduate seminar. Components of each three-hour seminar will be incorporated into a series of on-line videos. The final session will be structured around youtube videos created by the students in the class.


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

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

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, "http://ontology.buffalo.edu/smith/articles/Semantic_Reasoning_Framework.pdf 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.

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

Schedule:

August 26: Introduction to Intelligence Analysis

September 2: Labor Day – No class

September 9 The Intelligence Process

September 16: Intelligence Documents

September 23: Referent Tracking

Disease from the clinician’s perspective,
Ontological approaches to disease,
The Ontology for General Medical Science

Slides

Third class assignment: Summarize in a 2-page essay the issues discussed in pages 16-21 of Haendel et. al., 2018 and describe how the framework offered by Scheuermann, Ceusters and Smith, 2009 might resolve them.

Advance reading (prior to September 17 lecture): Chapters 5 and 6 of Arp, Smith and Spear, 2016

September 30: Disease / Aging / Ontology Building

Introduction to ontology for intelligence analysts Introduction to epistemology for intelligence analysts introduction to logic for intelligence analysts Introduction to the philosophy of computing and information for intelligence analysts

Referent tracking and Object-Based Production Agent-Based Intelligence and the philosophy of action Common Knowledge Uncertainty

Meaningful AI vs. Deep Learning Belief Revision Uncertainty Pedigree and Provenance Geographic Information Science Intelligence Preparation of the Operational Environment

October 7:

October 14:

October 21: Joint Doctrine Ontology / Building an Ethical Warfighter / Terrorism

Joint Doctrine Ontology (JDO)

Slides Video

Building an Ethical Warfighter

Slides Video

Ontology of Terrorism

Slides Video

Readings:

Department of Defense Dictionary of Military and Associated Terms
P. Morossof et al., "Joint Doctrine Ontology: A Benchmark for Military Information Systems Interoperability" (2015)
R. R. Larsen and J. Hastings, "From Affective Science to Psychiatric Disorder: Ontology as a Semantic Bridge" (2018)

October 28: Top-Level Ontologies / The Six-Category Ontology / Truth and Maps

Top-Level Ontologies

Slides Video

The Six-Category Ontology

Slides Video

Truth and the Ontology of Maps

Slides Video

Readings:

DOLCE: An Upper-Level Ontology
SUMO Suggested Upper Merged Ontology
http://ncorwiki.buffalo.edu/index.php/Basic_Formal_Ontology_2.0 Basic Formal Ontology]

November 4: From Speech Acts to Document Acts / Social Agency / Deontics

From speech acts to document acts

Slides Video

Massively planned social agency

Slides Video

Deontic entities

Slides Video

November 11: Artificial Intelligence, Deep Learning, Machine Learning / Money

Overview of machine learning and other approaches to the exploitation of Big Data (presented by Kevin Keane)
Role of ontology in Data Science
Ontology of money

Slides Video

Readings:

Barry Smith and John Searle (2003) "The Construction of Social Reality: An Exchange"
Tom Mitchell, "Key Ideas in Machine Learning"
David Donoho, "50 years of Data Science"
G. Marcus (2018), "Deep Learning: A Critical Appraisal"

November 18: The Ontology of the Eruv

The Ontology of the Eruv

Slides Video

Reading:

The Ontology of Processes and Functions
The Ontology of the Eruv

November 25: Why computer science needs philosophy / Why I am not a Philosopher

Why computer science needs philosophy

Slides Video

Why I am not a philosopher

Slides Video

December 2: Student Projects

Provisional list of topics

Ontology, AI and Robotics
Services, Commodities, Infrastructure
Product Life Cycle Ontology
Ontology and Information Engineering in the Healthcare Domain
The Science of Document Informatics
Finance Ontology
The Ontology of Plans
Ontology of Military Logistics
Ontology and Intelligence Analysis
Ontology and Data Fusion
Ontology of Terrorism

Student Learning Outcomes

Program Outcomes/Competencies Instructional Method(s) Assessment Method(s)
The student will acquire a thorough knowledge of current ontology research in areas relating to engineering, data fusion, defense and intelligence Video lectures and online discussions Review of submitted online content and of participation in online discussion forum
The student will acquire experience in ontology development Video lectures and critique of successive drafts Review of results in the form of xsl spreadsheet or Protégé file
The student will acquire experience in communicating the results of work on ontology development Creation of youtube presentation and of associated documentation Review of results

Important dates

Jan 28 - first video released by Dr Smith at 9am
Feb 20 - about now start to discuss by email the content of your video and essay with Dr Smith
Feb 28 - submit a proposed title and abstract
Mar 16 - create a simple ontology using Protege
Mar 31 - submit a table of contents and 300 word summary plus draft of associated ppt slides
Apr 27 - submit penultimate draft of essay and powerpoint
May 4 - submit final version of essay and powerpoint and upload final version of video to youtube

Grading

Grading will be based on two factors:

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

All students are required to ingest the content of all videos and to take an active part in 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 Dr Smith. 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

26% - video summaries (2% per summary)
14% - forum participation
20% - youtube video
20% - powerpoint slides
20% - essay / ontology content

Final Grades

Grade Quality Percentage

A 4.0 93.0% -100.00%
A- 3.67 90.0% - 92.9%
B+ 3.33 87.0% - 89.9%
B 3.00 83.0% - 86.9%
B- 2.67 80.0% - 82.9%
C+ 2.33 77.0% - 79.9%
C 2.00 73.0% - 76.9%
C- 1.67 70.0% - 72.9%
D+ 1.33 67.0% - 69.9%
D 1.00 60.0% - 66.9%
F 0 59.9% 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