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Strategic Intelligence, Analytic Tradecraft, and Agent-Based Modeling Aaron B. Frank George Mason University November 11, 2011

Transcript of Strategic Intelligence, Analytic Tradecraft, and Agent ... · Strategic Intelligence, Analytic...

Strategic Intelligence, Analytic Tradecraft, and Agent-Based Modeling

Aaron B. Frank George Mason University

November 11, 2011

Presenter
Presentation Notes
Experience 15 years working strategic analysis from policy and intelligence perspectives Not tactical Contractor perspective, not government

The Intelligence Community

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http://www.pinewswire.net/article/myths-and-the-u-s-intelligence-community/ Many different agencies Divided by mission and method Foreign vs. domestic Support to different departments Different INTs

Intelligence Community • Community is a term with very “loose” meaning

– Separate agencies with different missions, customers, responsibilities, and capabilities

– Dysfunctional family

• Major fault lines – Foreign vs. Domestic – Tactical vs. Strategic – Operational vs. Policy – Collection, Analysis, and Covert Action – SIGINT, IMINT, HUMINT, MASINT, OSINT, All-Source

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Dysfunctional family Many different ways to divide and examine Differences characterized by: Mission focus and customer Resources Independence from policy process and operations Area of operations Kinds of information gathered and analyzed ___________ Law-enforcement issues, hardest barrier to share across Organization by INT is practical, but not conceptual sense… Divides world into “unnatural” units Like separate departments for: SNA ABM Statistics Surveys Etc. Work the tools, not the problem

The INTs of Intelligence

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Wikipedia, http://en.wikipedia.org/wiki/File:Aldrich_hazen_ames_488.jpg Wikipedia, http://en.wikipedia.org/wiki/File:Menwith-hill-radomes.jpg Satnews, http://www.satnews.com/cgi-bin/story.cgi?number=347119337 GWU, National Security Archives, http://www.gwu.edu/~nsarchiv/nsa/cuba_mis_cri/dobbs/anderson.htm WashingtonPost.com, http://projects.washingtonpost.com/top-secret-america/http://projects.washingtonpost.com/top-secret-america/ The kinds of information that can be gathered The kinds of information that analysts have to work with ___________________________________ HUMINT – Aldrich Ames, CIA employee and Soviet spy IMINT – Cuba, Soviet SAM sites arrayed is “star” that confirmed the presence of ballistic missiles SIGINT – NSA Listening station in the UK, Menwith Hill MASINT – Imagery measuring the amount of Chlorophyll in the environment OSINT – Database constructed identifying US classified facilities and programs developed through mining the internet examining job announcements and contract awards All-Source – works with information collected from all means in order to generate a comprehensive understanding of a situation The INTs each represent a different lens through which the world is examined and monitored. Operate on different temporal and spatial scales, fusing them is difficult and critical

The Intelligence Cycle and Policy

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James B. Bruce and Roger Z. George, “Intelligence Analysis – The Emergence of a Discipline” in Roger Z. George and James B. Bruce, eds., Analyzing Intelligence (Georgetown University Press, 2007), p. 12. Central Intelligence Agency, https://www.cia.gov/library/publications/additional-publications/the-work-of-a-nation/work-of-the-cia.html Roger Z. George “The Art of Strategy and Intelligence” in Roger Z. George and James B. Bruce, eds., Analyzing Intelligence (Georgetown University Press, 2007), p. 109. Mark M. Lowenthal, Intelligence: From Secrets to Policy (CQ Press, 2009), p. 5. The intelligence cycle is the dominant description of how the community works Nearly invariant across the community Neatly divides the community into producers and consumers, analysts and collectors Presents a rational, orderly process that NEVER occurs in practice Far more complex picture Policy-makers rarely provide sufficient guidance to initiate cycle Collectors protect sources and methods from analysts Analysts address questions that policy-makers didn’t ask Analysts write for peers Notice that customers constitute a secondary loop in bottom representation of cycle Role of analysts vary and change as the policy process progresses Increased commitments to specific and focused action Policymakers can reach into intelligence community to direct them Intelligence community cannot reach into policy community to set agenda or priorities Intelligence analysts engage policy-makers at each stage in the policy process Play a different role in each case however At highest level, questions and concerns are abstract, while at the lowest they become increasingly empirical Analyst expertise –analytical expertise, knowing how bridge policy needs with community capabilities and communication Evaluation – seeking to provide feedback on the accomplishment of policy goals

Intelligence Profession • Intelligence is an activity that supports policy-making

• Intelligence officials do not make nor recommend policy

• Policy-makers are not obligated to listen to intelligence producers – Intelligence analysis is one of many inputs into decision-making process

• This relationship is the fundamental source of complexity

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Almost all of the challenges analysts face are a product of this relationship

Analysis in Science

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When scientists think about modeling and analysis, we think about the idea of simulating phenomenon that we observe, and comparing again with real-world observations A loop exists, that is ideally unencumbered by politics, ideology, institutional affiliations, etc. Questions regarding who has the best model are adjudicated by available data From this perspective, better analysis directly produces better policy – the best model is always leading analysis and decision makers work from it “rational-scientific policy” “why won’t they listen to us?”

Analysis in Policy

Policy

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In the policy context, intelligence analysis is an independent activity that supports policy-makers Policy-makers have their own world views, staff, and sources of information in addition to intelligence Thus, there is no compelling reason for them to accept analytic judgments that differ from their own Policy is politically adjudicated – negotiation, power, ideology, and process Issues are assessed in real-time, in full-complexity, and debates are over counterfactuals and consequences from alternative choices Empirical results mean little from case to case, and rarely provide definitive support for one assessment over another Look at Mitt Romney’s Foreign Policy Team…

Intelligence in Policy

Policy

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Saddam Hussein, http://www.topnews.in/law/people/saddam-hussein UBL, Fox News, http://www.foxnews.com/story/0,2933,339657,00.html Nassralah, http://thomaspmbarnett.com/globlogization/tag/toms-publications?currentPage=2 Kim Jong Il, http://www.globalsecurity.org/jhtml/jframe.html#http://www.globalsecurity.org/military/world/dprk/images/kim-jong-il_951010.jpg||| Ahmahdinejad, http://www.theblaze.com/stories/ayatollah-khamenei-warns-ahmadinejad-we-may-eliminate-presidential-position/ The picture is even more complicated because intelligence analysts must use their ideas to try and make sense of what other leaders, with their own ideas, are thinking, doing, and might do… Thus, they must see the world through three types of lenses simultaneously: As an independent observer, free from political or policy commitments As their consumers see the world, in order to understand how to make their assessments relevant and responsive to their needs and interests As their subjects see the world in order to better represent and understand how and why foreign leaders behave and act as they do Unlike physics, “laws are not universal” (atoms in Moscow behave the same as in Denver, but not true of leaders or people in general…) So, what do policy-makers think of all the “help” they get from intelligence organizations?

What do Policy-Makers Think of Intelligence?

Let me tell you about these intelligence guys. When I was growing up in Texas we had a cow named Bessie. I'd go out early and milk her.... One day I'd worked hard and gotten a full pail of milk, but I wasn't paying attention, and old Bessie swung her shit-smeared tail through that bucket of milk. Now, you know, that's what these intelligence guys do. You work hard and get a good program or policy going, and they swing a shit-smeared tail through it. - President Lyndon Johnson

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Richard K. Betts, Enemies of Intelligence, quote of Lyndon Johnson Johnson was known for being rather colorful in language and metaphor…

What do Policy-Makers Think of Intelligence?

Perhaps this is revealing a certain arrogance on my part, but I frequently think I am as capable of coming up with an informed opinion about a matter as any number of the people within the Intelligence Community who feel that they have been uniquely anointed with this responsibility. Too often that attitude is a dodge that allows them to conceal ignorance of facts, policy bias, or any number of things that may lie being the personal opinions that are presented as sanctified intelligence judgments. No one is allowed to question those judgments, especially not policymakers, or, as the argument goes, they will pollute the intelligence process with policy judgments. I think that this attitude on the part of the Intelligence Community causes a lot of problems. I think that it actually encourages the manipulation of intelligence judgments for political policy purposes. If you can get the authority of the Intelligence Community on your side, you can appeal to authority without having to bother appealing to the evidence. More important, it places great importance on a product that reports the judgments of analysts, which, absent the evidence on which those judgments rest, have limited value to policymakers. It tends to produce turgid National Intelligence Estimates (NIEs), marked by summary judgments in the front, full of carefully balanced sentences (“on the one hand,” and “on the other hand”), offering no new facts or reasoning to which any sophisticated reader of the weekly reader would not already have access. On a busy day, they are not even looked at. They may be glanced at because you have to know what someone may say to you at a meeting, citing the judgment of the NIE as an authority. Yet you do not read them expecting to learn very much. An estimate may be a useful weapon in a debate or it may be someone else’s weapon against which you have to be prepared to defend yourself, but you rarely read them expecting to learn something new. - Paul Wolfowitz

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Paul Wolfowitz, “Comments: Paul Wolfowitz,” in Roy Godson, Ernest R. May and Gary Schmitt, eds., U.S. Intelligence at the Crossroads: Agendas for Reform (Washington, DC: Brassey’s, 1995), p. 71. A more scholarly and reasoned take from the 1990s… Notice

What do Policy-Makers Think of Intelligence?

There are no policy failures. There are only policy successes and intelligence failures. - Anonymous State Department Official

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Martin Petersen, “What We Should Demand from Intelligence”, in Roger George and Robert Kline, Intelligence and the National Security Strategist

Analysis in Policy • Policymakers have their own world-views, analytic staff, and sources of

information – Why listen to intelligence?

• The most precious resource they have is their time

– Assessments that they agree with may be credible, but waste their time – Assessments that they disagree with may be ignored, challenged, or even viewed as the

intelligence community undermining their policy or strategy – Intelligence analysts largely deliver bad news to customers, pierce their bubbles

• What do policymakers want in intelligence products?

– Accurate, Actionable, Available, Brief, Collaborative, Context, Diagnostic, Estimative, Evidentiary, Expertise, Importance, Independence, Novelty, Nuanced, Patterned, Possibility, Predictive, Relevance, Security, Timely

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We see the fist introduction of Herbert Simon at this point – policymakers are VERY busy, and therefore their most precious resource is their time and attention Sherman Kent made the argument in “Estimates and Influence”, as did Hilsman in Intelligence and National Decisions Terms describing desirable features of analytic products from a variety of sources. Some are mutually exclusive. What is the tradeoff space between these features? What are the utilities of consumers? How to layer analytic products to cover all of these features? Memos, briefings, research papers, current reports, PDB articles, estimates, etc.

Types of Intelligence Information

Estimative: speculation about

missing information and future scenarios

Current Reporting: descriptions of ongoing events

and activities

Basic Intelligence: verifiable information about the state of the

world

Currency of intelligence analysts

Policy-makers and analysts are equals

Presenter
Presentation Notes
Sherman Kent, “Estimates and Influence,” in Donald P. Steury, ed., Sherman Kent and the Board of National Estimates: Collected Essays (Washington, DC: Central Intelligence Agency, 1994), pp. 36-39. Intelligence assessments range from the reporting of empirical facts, such a physical geography, demographics, and cultural summaries… … to reporting on what intelligence “targets” are currently doing (just like newspaper reporting)… … to estimates or speculations about what could happen. More than 5 decades of studies show that consumers (policy-makers) are grateful for basic and current intelligence Problems are with estimates Abstract Venture beyond the empirical record Subject to high levels of uncertainty Search across counterfactuals or scenarios Consumers value intelligence based on two factors If analytic assessments agree with their policy positions and objectives If they have strong interpersonal relationships with analysts and view them as credible experts, operating without bias The most interesting problem in intelligence studies is the non-use of intelligence

Examining Intelligence Failures • Early efforts to examine surprise noted the problem of missing information

– Emphasized intelligence collection as a means to prevent surprise

• This view was later adapted based on recognition that data is ambiguous and often noisy

– Signals to noise problem – Increased collection adds noise to the system

• Increasingly, attention has shifted towards mindsets, mental models, and

individual and group cognition – How people conceptualize problems and search for problems determines what

conclusions can be reached – Routine for intelligence texts to have a section on “thinking about thinking”

• Unsettling conclusion because there is no “fix” for the brain

– Who is responsible? – Organization, teams, and tradecraft, not “better” people

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Heuer book Morgan Jones, The Thinkers Toolkit Betts, Enemies of Intelligence MacEachin pieces in Godson, US Intelligence at the Corssroads and in Sims and Gerber, Transforming US Intelligence Method, is the selection of people, diverse, mixes of experts, generalists and specialists.

Rethinking Intelligence Failure • Are we trying to predict a system that cannot be predicted?

– What is epistemologically possible? – Focus on reducing uncertainty or ignorance?

• Are we looking in the place for the information we need?

– Is our orientation sound? – Are we missing information?

• Are policy-makers listening to us?

– Are we relevant? – Are we credible?

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Three simple questions

Surprise: Strategic vs. Tactical Mr. Smith and Mr. Jones are business partners. Every Friday, while Mr. Smith is lunching with a client, Mr. Jones helps himself to money from the petty cash. One afternoon Mr. Smith comes back from lunch earlier than expected, catching Mr. Jones red-handed. “I’m surprised!” they exclaim simultaneously. Mr. Jones’s surprise is tactical: He knew what he was doing but did not expect to get caught. Mr. Smith’s surprise is strategic: He had no idea the embezzlement was happening.

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Mark M. Lowenthal, Intelligence: From Secrets to Policy, CQ Press, 2008 (p. 3). US Navy Archives, Pearl Harbor, http://www.history.navy.mil/photos/images/g10000/g19930.jpg US Navy Archives, D-Day, http://www.history.navy.mil/photos/events/wwii-eur/normandy/normandy.htm FAS India Nuclear Test, http://www.fas.org/nuke/guide/india/nuke/pok_test_crater1.jpg UK Guardian (9/11), http://www.guardian.co.uk/music/musicblog/2011/sep/09/musical-responses-9-11 DAWN, http://www.dawn.com/2011/05/03/bin-laden-lived-in-pakistan-compound-five-six-years-us.html Wired Magazine, http://www.wired.com/dangerroom/2007/10/iraq-wmd-report/ Yom Kippur War, http://www.dipity.com/maddiefaulis/Israel-Palestinian-Conflict/ Examples of surprise: Pearl Harbor Normandy Invasion Yom Kippur War Indian Nuclear Test 9/11 Iraqi WMD Location of Bin Laden in Pakistan Strategic intelligence focus is on identifying and characterizing the world we are living in, and how do we, or would we, or could we know? More concerned with what could happen than with what will happen. Goal is to provide a decision advantage – faster recognition of trends, concentration of resources (when to hold back or commit), understand more than adversaries/rivals Prediction is nice, but not necessarily relevant or possible We are good at understanding what clever and smart adversaries could do – but we are always thrown off by what they do that is stupid, irrational, or as Richard Betts called it “committing suicide” Predictions may be true but irrelevant “Egypt won’t go to war without reconstituted air force, they will lose” in 1973 They went to war, and they lost.

Developing Tradecraft • At strategic level, analysis is about the search for context and insights to

help consumers

• Two converging threads: – How to get beyond what is known in order peek into the uncertain futures and fill

in critical gaps of missing information – How to clearly and forcefully communicate with policy-makers who have their

own mental models

• Tradecraft must not only make substantive progress on difficult problems, but its products and processes must be transparent and acceptable to consumers

• It is here with intelligence analysis and CSS begin to converge…

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Reveal thought process… Frame strategies Evaluate options Warn of risks and dangers Some assessments are responsive to questions initiated by consumers… … others are initiated by intelligence community because they appear relevant or important Dialog is essential, debate is not!

Herbert Simon

Bounded Rationality

Cognitive Science Artificial Intelligence Social Science Agent-Based Modeling

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The story we are all familiar with… Herbert Simon and the theory of bounded rationality… Examines the process of rationality, how heuristics are employed to solve problems… Eventually simulated and tested in computers… New fields of Cognitive Science, Artificial Intelligence, and now we use as foundation of ABM, where individuals are not omnipotent or classically rational

Herbert Simon

Psychology of Intelligence and Mindsets

Analysis of Competing Hypotheses Alternative Analysis Structured Analytic Techniques

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Simon’s work also had significant impact on intelligence community… Repeated failures led community to seek answers as to why good, smart, dedicated analysts failed to correctly understand or assess situations leading to strategic and tactical surprises… Was it a matter of not enough information or the collection of the wrong information? Signals to noise? The development of “Mindsets” as a concept has been increasingly important A mindset is something like a paradigm in science, or a mental model… How then can analysts, managers, and policy-makers guard against becoming trapped? Heurer and Davis have lengthy careers examining this question… See bounded rationality and satisficing as critical feature of intelligence failure Analysts find a good enough explanation and end their search…. Tradecraft must push beyond the natural tendency Can formal modeling help?

Formal Modeling Roots • Formal models have always been employed by community for particular questions

– Military Operations Research, Economics, Demographics, Voting Outcomes, etc. • 1970s saw efforts to raise the level of analytic sophistication to match the growth of quantitative

techniques in academia – Challenge from Director of Central Intelligence William Colby – Creation of Methods and Forecasting Division

… analyses found in the INR documents

tend to be of the most demanding kinds, involving multivariate analyses with many discrete variables, in which the relationships are frequently nonlinear and involve important time lags. As a matter of fact, the kinds of relationships found in the great majority of INR analyses represent such complexity that no single quantitative work in the social sciences could even begin to test their validity.

As long as intelligence research is directed towards answering complex questions such as what will happen in Yugoslavia after Tito’s death, or what would be the consequences of Communist party participation in the Italian government, the narrative essay will remain the dominant form for intelligence estimates. There is, however, an important role for rigorous procedures even is such complex estimative problems. Our work to date indicates that the kinds of analytical techniques which seem most useful for our purposes are those that help to trace the logical consequences of subjective judgments, extend the mental capacity of the individual analyst, force the analyst to make his assumptions explicit, or help to organize complexity.

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Richards J. Heuer, Jr., “Adapting Academic Methods and Models to Government Needs,” in Richards J. Heuer, Jr., Quantitative Approaches to Political Intelligence: The CIA Experience (Boulder, CO: Westview Press, 1978), p. 8. Michael K. O'Leary, William D. Coplin, Howard B. Shapiro, Dale Dean “The Quest for Relevance,” International Studies Quarterly, Vol. 18, No. 2, (Jun., 1974) Initial key themes: Organization of data Explication of assumptions Linking of assumptions and outcomes Extending the capability of analysts to consider broader range of alternatives Complexity of problems Scope of analyst vision – widening analyst vision, new perspectives and insights Key points: No mention of prediction Complexity Analysis is actually focused inwards, peeling back the layers of assumptions and concepts in the minds of analysts and policymakers

Tradecraft Development • Rather than extend use of formal models, community focused on methods for

improving analytic transparency

• After series of surprises in 1990s and again in 2000s, analytic tradecraft went through a series of major reforms

• Increasing emphasis on epistemology

• Four fundamental questions – What do we know? – What does it mean? – What don’t we know? – How would our conclusions change upon new information?

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Tradecraft 2000 mentioned in Heuer’s Psychology of Intelligence Analysis, and Godson’s Intelligence at the Crossroads. Alternative Analysis, Roger George, “Fixing the Problem of Analytical Mindsets”, several reform commissions Structured Analytic Techniques, Primer published by Kent School, several academic texts by Randy Pherson, Richards Heuer, Sarah Beebe. Speed up…. Tradecraft 2000 (1990s) Alternative Analysis* (early 2000s) Structured Analytic Techniques (mid 2000s) “lynchpins” and “key drivers” Explicit connections between evidence and inference Evaluation of sources, and concern for denial and deception Expose data and analytic logic to consumers, not just judgments

Trouble Gaining Foothold • ABM was introduced into tradecraft as

part of Alternative Analysis in the early 2000s

• Whereas much has been written about other techniques introduced at the same time, ABM remained unexplored

– High/Low Impact Analysis – Red Team – Devil’s Advocacy – Team B – Alternative Competing Hypotheses

• Gaming and Simulation did not enter into the mainstream of analytic use

– Cost, time, and expertise barriers – Heavyweight methods

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Presentation Notes
Note Roger George article on “Fixing the Problem of Analytical Mindsets” discusses Alternative Analysis methods, but makes no mention of ABM Graphic taken from Kent School Publication, A Tradecraft Primer Ongoing research and analysis and production Part of office research plan, not PRODUCTION plan

Growing in Interest • In spite of difficulties, interest in ABM remains

high – Methodology has become a high priority for

analytic evaluation and production – Policy-makers have many sources of information,

methodology is differentiator, establishes credibility

– Increasing complexity of international system and challenges demand complexity-based toolkit for analytic tradecraft

• Intelligence challenges extend beyond the threshold with which analysts can work

Attractiveness of ABM

• Model Design • Generative Argumentation • Context Setting and Search • Group Processes • Analyst/Collector Linkages • Political Philosophy • Substantive Challenges of International

System

Model Design • Design of ABM better accords with “natural units” of

international system – Representation of actors and environments that can be specified

by analysts and consumers

• Ability to translate narrative descriptions into behavioral rules within model – Acceptability of model inputs and specification reduces

resistance to outcomes, improves receptivity of analysis

• Mirrors capabilities that analysts and consumers are familiar with from other sources – The Sims, Spore, and other games

Generative Argumentation • Focus on specifics of cases • Large-N research and comparative case studies lead to

misleading or irrelevant conclusions – Large-N statistical studies may provide general insights, but fail

to offer information about specific case that policy-maker is confronting

– Large-N statistics tend to emphasize structural variables that occur in all of sample, leaving out situation specific aspects of problem

– Comparative cases subtly shift attention from case with unknown properties to those with known properties

– Produces arguments grounded in classification and coding, not constructive or generative conclusions

• ABM shifts to generative explorations of specified cases – Historians notion of particular generalization

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Analysts support specific policy-makers working specific problems…. Statistical or general models of broad phenomenology, such as “civil war”, often produce results that cannot be exploited, and provide decision makers with no leverage over situation Cross-case comparisons often shift attention from the features of the case that is of interest and unknown, to those that are known, creating a false sense of confidence in the analysis based on repetition of what is familiar or assuming that the universe of possible variance has been seen General tendency heuristic Not particularizing from the general (introducing bias and fallacies)

Generative Argumentation

• Iraqi WMD and proof by contradiction in policy-context…

There is no mystery to voluntary disarmament. Countries that decide to disarm lead inspectors to weapons and production sites, answer questions before they are asked, state publicly and often the intention to disarm and urge their citizens to cooperate. The world knows from examples set by South Africa, Ukraine and Kazakhstan what it looks like when a government decides that it will cooperatively give up its weapons of mass destruction. The critical common elements of these efforts include a high-level political commitment to disarm, national initiatives to dismantle weapons programs, and full cooperation and transparency. In 1989 South Africa made the strategic decision to dismantle its covert nuclear weapons program... Ukraine and Kazakhstan demonstrated a similar pattern of cooperation when they decided to rid themselves of the nuclear weapons, intercontinental ballistic missiles and heavy bombers inherited from the Soviet Union… Iraq's behavior could not offer a starker contrast… Unlike other nations that have voluntarily disarmed -- and in defiance of Resolution 1441 -- Iraq is not allowing inspectors ''immediate, unimpeded, unrestricted access'' to facilities and people involved in its weapons program. As a recent inspection at the home of an Iraqi nuclear scientist demonstrated, and other sources confirm, material and documents are still being moved around in farcical shell games. The regime has blocked free and unrestricted use of aerial reconnaissance. Condoleezza Rice, “Why We Know Iraq is Lying,” The New York Times, January 23, 2003

Presenter
Presentation Notes
Condoleezza Rice, “Why We Know Iraq is Lying,” The New York Times, January 23, 2003, available at: http://www.nytimes.com/2003/01/23/opinion/why-we-know-iraq-is-lying.html?pagewanted=all&src=pm (accessed on August 8, 2011). Somehow, three cases defined the universe of voluntary nuclear disarmament?

Context vs. Prediction • Prediction Paradox

– Intelligence is blamed for failure to predict… – But intelligence that differs from policy-makers preconceptions is often ignored,

rejected, and challenged by consumers – Policy-makers take action that affect outcomes, thus undermining prediction – International system is fundamentally unpredictable

• Consumers demand to know more, pushing analysis beyond what can be

known in speculative realm where failure is inevitable – Models that produce probabilistic estimates, regardless of accuracy, are quickly dismissed without

supporting causal narratives – Any analysis is quickly challenged by asking why in response to any judgment

• At strategic level, prediction is surprisingly unimportant

– Emphasis on searching for alternative contexts with which to understand a situation – Identification of scenarios that constitute extreme risks or opportunities regardless of probabilities – Search for actions with high leverage over system in order to intervene – Identification of tradeoff space within which different political options have equal consequences

Presenter
Presentation Notes
Doesn’t let you forget about uncertainty…. Range of results come from parametric, procedural and model uncertainty that forces reasoning over sets of alternatives Analytic production that extends the range of potential worlds producers and consumers get exposed to is a hedge against satisficing, even through it often weakens the faith in a given prediction. Identification of alternatives automatically reduces confidence in the occurrence of any particular outcome or point estimate. Even cases of high certainty, the chance that a different world might result is a concern that must be hedged against

Context vs. Prediction Tell a national security advisor that another country is likely to develop a nuclear weapon, and – after all his or her questions have been answered about the basis of the prediction – he or she will want to know when, in what numbers, with what reliability, at what cost, with what ability to deploy them, to mount them on missiles, with what intent as to their use, etc. It is no wonder that U.S. intelligence agencies are consistently regarded as failing. Whatever their mixtures of strengths and weaknesses, they are always being pushed to go beyond the point of success. Richard Danzig, Driving in the Dark

Presenter
Presentation Notes
Richard Danzig, Driving in the Dark, Center for New American Security, 2011, pp. 11-12.

Analytic Teams • Analysis is increasingly viewed as a corporate activity

– Organization should speak with one voice to consumers – Shifts emphasis away from what specific analysts believe to what is collectively

produced – Managers require understanding of diversity of perspectives held by analysts

• Externalized models provide important collaborative tool

– Depersonalize assessments, shift attention off of individuals and onto artifact – Model-based adjudication of alternative perspectives – Allows for measurement of diversity within groups, warning of groupthink – Identifies essential disagreements, increases transparency to customers

exposing dissenting views

• Construction of models allows for “packaging” of alternative perspectives as connected ranges

– Devil’s Advocacy controversy

Presenter
Presentation Notes
Arguments found in Heuer and Pherson, Structured Analytic Techniques Devil’s Advocacy controversy referenced in Roger George, “Fixing the Problem of Analytical Mindsets” article. Devil’s advocacy piece was published that adopted a contrarian view to mainline analysis. Makes cherry picking more difficult because everything is shrouded in uncertainty, Presenting alternatives as independent products enables cherry picking and confuses policymakers, can reduce credibility no basis for picking favorite and running with it

Analyst/Collector Linkages • Increased emphasis on epistemology and

assessment of sources and methods – Bias – Reliability – Foreign denial and deception

• Classical mathematical models provide an

assessment of a systems behavior, but limited from a single vantage point

• The ABM concept of an artificial society, or fully realized instantiated simulation allows for two-level collection

– Observation of true state of system – Testing of alternative information collection strategies

and capabilities in order to assess effectiveness and vulnerabilities

– If information was biased, inaccurate, or manipulated would we be able to tell the difference?

– How to layer collection strategies with analysis?

Presenter
Presentation Notes
James Bruce, “The Missing Link: the Analyst-Collector Relationship”, Roger George and James Bruce, eds., Analyzing Intelligence, p. 192. Collection bias, we find what look for Being able to collect and test whether what we believe is true, does model produce results consistent with collection? The absence of data is itself an indicator Assist in analysis by highlighting what to share! Highlights where load-bearing assumptions really exist Where information is missing Where information cannot be gathered Missing information places greater burden on analysts’ assumptions and logic Often resorts to appeals to generic rational actor, ethnocentric mirror-imaging, culturally biased stereotypes

Political Philosophy • Important to note old adage that operations get the intelligence

community in trouble with the left, while analysis gets the community in trouble with the right – Team B – Rumsfeld Ballistic Missile Commission – “Blue Team” – Office of Special Plans/Policy Counterterrorism Evaluation Group

• Failure by community to acknowledge the intrinsic threat posed by

adversaries – “Absence of evidence is not evidence of absence”

Presenter
Presentation Notes
Team B was in the 1970s – Soviet Threat Rumsfeld Commission in the 90s Blue Team is self appointed network of anti-China – includes journalists, policymakers, commercial leaders OSP, and Policy Counterterrorism Evaluation Group 2002-2003 on Iraq in Pentagon

Political Philosophy • Logical reason identified by historians and political philosophers

– Conservatives tend to see structural and impersonal forces as sources of success and failures

• Emphasize values, religion, culture, geography, etc. • Reduces role of chance, contingency, historical accidents, and agency in historical

outcomes – Liberals tend to see history as a chain of chance events, where small differences

can yield large changes in outcomes • Emphasize choice, chance, interaction, individual persons • Reduces the role of large structural constraints on actors, allows for wider range of

possible opportunities and less predictable world

• ABMs provide a formal mechanism for adjudicating between alternative

political orientations via counterfactual explorations that link micro and macro levels

Presenter
Presentation Notes
Historians actually think about this problem greatly How much contingency is there in the world? On different political dispositions towards history and policy and analytic implications, Geoffrey Parker, Richard Ned Lebow, Philip Tetlock, eds., Unmaking the West (University of Michigan)

ABM Justification: International System

• Continued transitions within the international system…

Presenter
Presentation Notes
Gregory Treverton and Wilhelm Agrell, eds., National Intelligence Systems: Current Research and Future Prospects (Cambridge University Press, 2009), p. 2. Actors have become more diverse and disparate Increasing heterogeneity in actors resources, capabilities, perspectives, goals, and motivations Less bounded on the kinds of actors that matter, but the boundedness of their thinking and capabilities matter more Analysts have gone from being starved for information to drowning in it, requires greater attention to information management and structuring High-degrees of interactivity with adversaries – much like transition from decision-theory to game-theory Pushes community from traditional intelligence, RED Focused assessments into interactive NET ASSESSMENT, which requires increasing awareness and concern for what BLUE is doing. Barrier between foreign and domestic breaking down between actors, activities, and analysis Increasingly untenable to study adversaries or foreign actors in isolation – need to rethink how community works – Joint Production model in law enforcement likely extended to national intelligence

International System Complexity

• This should look familiar – From Rob’s briefing on firm’s model

Presenter
Presentation Notes
Slide from Robert Axtell briefing on Agent-Based Economics and Firms model… Parallels the very reasons why ABM has become important

ABM Final Thoughts

• Producer/Consumer Relations • Argumentation • Transparency • Extend Search • Link Assumption and Outcome • Fitting into organizational roles is more

important than being sophisticated or truthful • Models enable dialog, not discover truth

Presenter
Presentation Notes
Most important aspect of intelligence analysis is the relationship between producers and consumers – analysts and policy-makers (and managers!) ABM is an evolutionary step in the development of tradecraft due to its ability to make analysis more complete by Reducing satisficing by generating alternatives Increasing transparency Changing the basis of argumentation Linking assumptions and outcomes Importantly, the evaluation of any analytic method should first and foremost focus on how it fits within, or can redefine organizational roles Getting to “truth” is not as important as closing gaps in work flows, creating transparency, and improving receptivity based on expertise Methodology is differentiator Models should enable a dialog, not become fodder for debate or find truth