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Making Better Strategic Making Better Strategic Decisions,Decisions,
by Asking If It Is Going To Get by Asking If It Is Going To Get Better or WorseBetter or Worse
- the SOFI Method - the SOFI Method and the System to Implement itand the System to Implement it
13-Dec-2007
TedGordon, PeterYim, AdamCheyer, DeniseBedford, PatCassidy & KenBaclawski
(v 0.20)
NASA-Ontolog-KMWG “OKMDS” mini-series
Ontology in Knowledge Management and Decision Support
(OKMDS)
AbstractAbstract• Simply ask "If It Is Going To Get Better or Worse", and Simply ask "If It Is Going To Get Better or Worse", and
then just go with the decision that would get things then just go with the decision that would get things better for us! This almost seems intuitively obvious ... better for us! This almost seems intuitively obvious ... until we delve seriously into the issue, and start until we delve seriously into the issue, and start wondering ...wondering ...
• see: see: http://ontolog.cim3.net/cgi-bin/wiki.pl?ConferenceCall_2007_12_13#nid15SG
• ... The team is on the R&D to cast the SOFI work into a ... The team is on the R&D to cast the SOFI work into a collaborative open knowledge system that brings to collaborative open knowledge system that brings to bear some of the best legacies passed on to us, as well bear some of the best legacies passed on to us, as well as state-of-the-art approaches in information as state-of-the-art approaches in information management and technology, knowledge management, management and technology, knowledge management, quantitative analysis, qualitative analysis, service quantitative analysis, qualitative analysis, service oriented architecture, web 2.0, Delphi, as well as oriented architecture, web 2.0, Delphi, as well as semantic technologies. The use of ontologies and semantic technologies. The use of ontologies and ontological engineering will be central to their ontological engineering will be central to their approach in the next phase of the work, that will approach in the next phase of the work, that will enable their tapping into virtual communities and enable their tapping into virtual communities and disparate systems to come up with the collective disparate systems to come up with the collective intelligence to provide strategic decision support.intelligence to provide strategic decision support.
OutlineOutline• Introduction Introduction (Peter-3)(Peter-3)
• Futures Research, Normative Futures, Delphi & SOFI Futures Research, Normative Futures, Delphi & SOFI (Ted-(Ted-8)8)
• Core Concepts, Values & the SOFI System Mission Core Concepts, Values & the SOFI System Mission (Peter-4)(Peter-4)
• Phase-1 SOFI System implementation Phase-1 SOFI System implementation (Adam/Peter-4)(Adam/Peter-4)
• Driving the Next Phase with ontology engineering:Driving the Next Phase with ontology engineering: Quantitative Decision Support Quantitative Decision Support (Ken-4)(Ken-4)
toward semantic interoperability through a toward semantic interoperability through a foundational ontology foundational ontology (Pat-4)(Pat-4)
a collaborative knowledge environment a collaborative knowledge environment (Adam-4)(Adam-4)
• Architecting a co-evolving human-machine system for Architecting a co-evolving human-machine system for collective intelligence collective intelligence (Peter/Adam-3)(Peter/Adam-3)
• Making Better Strategic Decisions – applications, Making Better Strategic Decisions – applications, scenarios and the potentials of a SOFI system scenarios and the potentials of a SOFI system (Denise/Ted-3/3)(Denise/Ted-3/3)
• Q & A – discussion Q & A – discussion (All)(All)
The Millennium Project The Millennium Project - MP / WFUNA- MP / WFUNA
• The The Millennium ProjectMillennium Project of WFUNA is ... of WFUNA is ... a global participatory futures research think a global participatory futures research think
tank of futurists, scholars, business planners, tank of futurists, scholars, business planners, and policy makers who work for international and policy makers who work for international organizations, governments, corporations, organizations, governments, corporations, NGOs, and universities , started in 1996?NGOs, and universities , started in 1996?
operating as a network of 32? globally operating as a network of 32? globally located nodes located nodes
with contribution in both content and with contribution in both content and methodologymethodology
under the auspices of the World Federation under the auspices of the World Federation of United Nations Associations (WFUNA)of United Nations Associations (WFUNA)
• not to be confused with the UN/Millennium Projectnot to be confused with the UN/Millennium Project
State of the Future Index State of the Future Index - SOFI- SOFI
• ....
Full Implementation of aFull Implementation of a SOFI SOFI SystemSystem
• ....
Futures Research, Futures Research, Normative Futures, Normative Futures,
Delphi Delphi & SOFI& SOFI
Ted Gordon, The Millennium Project / WFUNA
Purposes of Futures Purposes of Futures ResearchResearch
To help understand what could be, To help understand what could be, what might be, and what ought to what might be, and what ought to be.be.
To discover and understand threats To discover and understand threats and opportunities.and opportunities.
To develop more creative strategies To develop more creative strategies and evaluate proposed actions.and evaluate proposed actions.
To create and share normative To create and share normative visions visions
The value of futures research lies The value of futures research lies less in its forecasting accuracy, than less in its forecasting accuracy, than in its use in identifying and in its use in identifying and assessing new possibilitiesassessing new possibilities
Philosophical AssumptionsPhilosophical Assumptions
The future can be shaped by policyThe future can be shaped by policy There is a range of possible futuresThere is a range of possible futures Policy consequences can be Policy consequences can be
systematically exploredsystematically explored Exact foreknowledge is not possible, Exact foreknowledge is not possible,
but probabilities can be assessedbut probabilities can be assessed There is a component of the future There is a component of the future
that is unknowablethat is unknowable The mind uses “what if” outcome The mind uses “what if” outcome
scenariosscenarios
Key Current MethodsKey Current Methods
TaxonomyTaxonomyNormative vs. Normative vs. exploratoryexploratoryQuantitative Quantitative vs. qualitativevs. qualitative
Common Common techniquestechniques
Time SeriesTime Series Delphi Delphi
ScenariosScenariosModeling Modeling MonitoringMonitoring
FrontiersFrontiers
MethodsMethodsTrend Impact AnalysisTrend Impact AnalysisSOFISOFIRTDelphiRTDelphiScenarios using expert groupsScenarios using expert groupsRobust decision makingRobust decision making
ConceptsConceptsReducing the unknownReducing the unknownA new decision scienceA new decision science
Time Series: Trend Impact Time Series: Trend Impact AnalysisAnalysis
Infant Infant Mortality Mortality RateRate
Very long term, low cost contraceptives.Very long term, low cost contraceptives.
China and India becomes 50% urbanizedChina and India becomes 50% urbanized
Social marketing improves health practicesSocial marketing improves health practices
Standard vaccinations of all childrenStandard vaccinations of all children
Improved maternal healthcare, nutritionImproved maternal healthcare, nutrition
Literacy rate of women reaches 85%Literacy rate of women reaches 85%
Number of poor people growsNumber of poor people grows
Drop in number of people w/o safe waterDrop in number of people w/o safe water
1983 1988 1993 1998 2003 2008 2013
Year
20
30
40
50
60
70
80
90
100
Extrapolation
Low
Median
High
Infant Mortality; Deaths per 1,000 Live Births
Time Series: Trend Impact Time Series: Trend Impact AnalysisAnalysis
DelphiDelphi
Conference room problemsConference room problems
Now the “classic” means for Now the “classic” means for combining expert opinionscombining expert opinions
AnonymityAnonymity
FeedbackFeedback
The RAND 1964 S&T StudyThe RAND 1964 S&T Study
1
Infant mortality (deaths per 1,000 births)World (1983)= 89.1World (2005)= 50.0Spain (2003)= 4Liberia (2003)= 157Link go
Best plausible value in 2016? YOUR ANSWER :The average group answer: 23.4 Respondents: 7 DIFFERENT THAN THE AVERAGE Reasons click here GO:
Real Time Delphi
Example of SOFI (State of the Future Index) variables:Infant mortalityFood availabilityGNP per capita Access to fresh waterCO2 emissionsLiteracyWarsAIDS deathsTerrorist attacksDebt ratioUnemploymentCalories per capitaHealth careForest landsRich poor gap…
Global SOFI 2006: Global SOFI 2006: 20 Variables20 Variables
Comparison of SOFI's
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1980 1985 1990 1995 2000 2005 2010 2015 2020
2001
2002
2003
2004
2005
Core Concepts, Values Core Concepts, Values and and
the SOFI System Missionthe SOFI System Mission
Peter Yim, CIM3
Core Concepts & ValuesCore Concepts & Values driving this workdriving this work
• The SOFI Methodology The SOFI Methodology
• The "Bootstrap" ParadigmThe "Bootstrap" Paradigm
• Building a knowledge environment to serve a Building a knowledge environment to serve a wide variety of applicationswide variety of applications
• Collaboration among participants and Collaboration among participants and stakeholders in the form of virtual stakeholders in the form of virtual communities. communities.
• The notion of "Openness"The notion of "Openness"
• Driving interoperability through ontology Driving interoperability through ontology engineeringengineering
• Integrating through a service oriented Integrating through a service oriented architecturearchitecture
• Tapping into a collective intelligence for Tapping into a collective intelligence for decision supportdecision support
Phase-1 SOFI System Phase-1 SOFI System implementationimplementation
Peter Yim (CIM3), Adam Cheyer (SRI), et al.
Background Background (1)(1)
• Two Concepts guiding this work:Two Concepts guiding this work:o Futures Research leading to normative futuresFutures Research leading to normative futureso AugmentedAugmented Collaboration towards Collective Collaboration towards Collective
IntelligenceIntelligence
• The Internet moves on: The Internet moves on: o from the research and academic networkfrom the research and academic networko to being a publishing mediato being a publishing mediao to Transactions and Web Servicesto Transactions and Web Serviceso on to being a knowledge media - the Semantic on to being a knowledge media - the Semantic
WebWeb
• This is where we begin – where, hopefully, This is where we begin – where, hopefully, human systems and tools systems may co-human systems and tools systems may co-evolveevolve
The System The System (1)(1)
• ArchitectureArchitecture• The Knowledge Base/EngineThe Knowledge Base/Engine• The SOFI ComputerThe SOFI Computer• The Community of Practice The Community of Practice
(CoP) Collaborative Work (CoP) Collaborative Work EnvironmentEnvironment
• The User & the User InteractionThe User & the User Interaction
ArchitectuArchitecturere
The User InterfaceThe User Interface
The Next Phase ...The Next Phase ...driving the SOFI Systemdriving the SOFI System
with semantics with semantics and ontology engineeringand ontology engineering
( ... do an intro here, or insert one additional slide after this to do it)
Quantitative Decision Quantitative Decision SupportSupport
Ken Baclawski, Northeastern University
Decision AnalysisDecision Analysis
• Important part of policy and Important part of policy and development processes.development processes.
• Formal annotation of decisions and Formal annotation of decisions and their analyses can have many benefits.their analyses can have many benefits.– Integration with the processIntegration with the process– Recognition of need to reconsider when Recognition of need to reconsider when
circumstances evolvecircumstances evolve– Decisions can be delayedDecisions can be delayed– Decisions can be reused for other Decisions can be reused for other
situationssituations• An annotated decision is called a An annotated decision is called a
rationalerationale
Rationale OntologyRationale Ontology
Rationale
Artifact
Choice
Decision Analysis
Informal Discussion
Influence Diagram
Decision Tree
Decision Table
analysis
issue
Evidence
evidence*
criterion*
decision
alternative*
isa isa
isa
isa
isa
isa
Process ModelProcess Model
Policy Decision ExamplePolicy Decision Example
Investment Level in Brain Health Intervention Techniques
Ageism
Fertility Rate
Age of Population
Ethical Concerns
Standard of Living
Brain Health Level
Brain Health Policy Rationale
criterion
alternative
analysis
Census data
evidence
Brain Health Issue
issue
affects
Toward semantic Toward semantic interoperability through a interoperability through a
foundational ontologyfoundational ontology
Dr. Patrick Cassidy, Micra
31
What is a “Defining What is a “Defining Vocabulary”?Vocabulary”?
• For lexicographers, a controlled list of For lexicographers, a controlled list of words which are the only words allowed to words which are the only words allowed to be used in creating definitions (e.g. in be used in creating definitions (e.g. in LDOCE).LDOCE).– makes definitions easier to understand, makes definitions easier to understand,
especially for learners of a language (like especially for learners of a language (like dumb computers)dumb computers)
• For Ontologists, the “Conceptual Defining For Ontologists, the “Conceptual Defining Vocabulary” (CDV) is the set of basic Vocabulary” (CDV) is the set of basic concepts (and their ontological concepts (and their ontological representations) which are necessary and representations) which are necessary and sufficient to specify the meanings of all sufficient to specify the meanings of all other concepts (or terms) by combinations other concepts (or terms) by combinations of the basic concepts – of the basic concepts – a special type of a special type of “Foundation Ontology”.“Foundation Ontology”.
How Will a Conceptual Defining How Will a Conceptual Defining vocabulary Enable Semantic vocabulary Enable Semantic
Interoperability?Interoperability?• Any two ontologies developed by Any two ontologies developed by
specifying the meanings of terms or specifying the meanings of terms or ontology elements (types, relations, ontology elements (types, relations, functions, rules) as combinations of the functions, rules) as combinations of the foundation ontology elements can foundation ontology elements can automatically create a common merged automatically create a common merged ontology by sharing specifications of ontology by sharing specifications of ontology elements that are not in the ontology elements that are not in the starting common ontology.starting common ontology.
• The inferences that both systems The inferences that both systems derive from the same data will then derive from the same data will then be identical.be identical.
What Is The Advantage of a What Is The Advantage of a “Conceptual Defining “Conceptual Defining
Vocabulary”?Vocabulary”?• Keep the Foundation Ontology as Keep the Foundation Ontology as
small as possible, to maximize small as possible, to maximize chances of getting agreement among chances of getting agreement among a large user audience.a large user audience.
• Focus on the elements that are Focus on the elements that are essential to support the most basic essential to support the most basic components of human-level components of human-level understanding.understanding.
• Provide all of the elements that are Provide all of the elements that are required to support interoperability, required to support interoperability, and achieve relative stability quickly.and achieve relative stability quickly.
34
How Large is the Conceptual How Large is the Conceptual Defining Vocabulary?Defining Vocabulary?
• Longman’s Dictionary of Contemporary Longman’s Dictionary of Contemporary English (LDOCE) uses about 2000 root English (LDOCE) uses about 2000 root words, some of which are used in more words, some of which are used in more than one sense. With morphological than one sense. With morphological variants (plurals, past tenses), there are variants (plurals, past tenses), there are over 9000 words.over 9000 words.
• For the conceptual defining vocabulary, For the conceptual defining vocabulary, probably at least 4000 senses will be probably at least 4000 senses will be needed.needed.
• The vocabulary will probably grow over The vocabulary will probably grow over time.time.
• But as more fields are defined via the But as more fields are defined via the conceptual defining vocabulary, each new conceptual defining vocabulary, each new field should require a smaller percentage of field should require a smaller percentage of new primitives to be added to the new primitives to be added to the foundation ontology to support the foundation ontology to support the specification of novel concepts.specification of novel concepts.
• The rate at which the need for new The rate at which the need for new primitives will grow will be determined by primitives will grow will be determined by actual experience.actual experience.
How Does the CDV Differ How Does the CDV Differ from other “Upper from other “Upper
Ontologies”?Ontologies”?(1)(1)Primary focus is on the most basic Primary focus is on the most basic
concepts, to maximize agreement and concepts, to maximize agreement and usabilityusability
(2)(2)This focus is achieved by concentrating on This focus is achieved by concentrating on representing the concepts labeled by the representing the concepts labeled by the words of the linguistic defining words of the linguistic defining vocabulary, with tight integration of the vocabulary, with tight integration of the ontology and linguistic vocabulary.ontology and linguistic vocabulary.
(3)(3)The first demonstration application would The first demonstration application would be to enable a basic child’s-level ability to be to enable a basic child’s-level ability to use the English language. Until that is use the English language. Until that is achieved, more specialized applications achieved, more specialized applications are unlikely to approach human-level are unlikely to approach human-level understanding of concepts.understanding of concepts.
A Collaborative A Collaborative Knowledge Knowledge
EnvironmentEnvironment
Adam Cheyer, SRI
(... insert ~4 slides from Adam)
Architecting a co-evolving Architecting a co-evolving human-machine system human-machine system
for collective intelligencefor collective intelligence
Adam Cheyer (SRI), Duane Nickull (Adobe), Peter Yim (CIM3), et al.
( insert ~3 slides from Adam/Duane/Peter ...
o an ontology framework slide o a SOA RM slide o a next phase SOFI System slide )
Making Better Strategic Making Better Strategic Decisions – applications, Decisions – applications,
scenarios and the scenarios and the potentials of a SOFI potentials of a SOFI
systemsystemTed Gordon, MP/WFUNA
&
Denise Bedford, World Bank
Example of SOFI (State of the Future Index) variables:Infant mortalityFood availabilityGNP per capita Access to fresh waterCO2 emissionsLiteracyWarsAIDS deathsTerrorist attacksDebt ratioUnemploymentCalories per capitaHealth careForest landsRich poor gap…
Global SOFI 2006: Global SOFI 2006: 20 Variables20 Variables
Comparison of SOFI's
0.5
0.6
0.7
0.8
0.9
1
1.1
1.2
1980 1985 1990 1995 2000 2005 2010 2015 2020
2001
2002
2003
2004
2005
What Goes Into a What Goes Into a Decision?Decision?
Three questions:Three questions:– What is possible?What is possible?– What is likely?What is likely?– What is desirable?What is desirable?
Futures research helps withFutures research helps with– Identifying goalsIdentifying goals– Assessing prospective policies Assessing prospective policies – Quantifying risksQuantifying risks
Futures research does not help much withFutures research does not help much with– Reducing the unknowableReducing the unknowable– Psychological factorsPsychological factors– Moral and ethical factorsMoral and ethical factors
A New Decision ScienceA New Decision Science
Futures research; foresight; FTAFutures research; foresight; FTA
Intuition, imagination: experience, subtle cluesIntuition, imagination: experience, subtle clues
Psychology; personal utility functionsPsychology; personal utility functions
Balance of risks and rewardsBalance of risks and rewards
Experiments and analogyExperiments and analogy
Understanding innate illogic of human thinkingUnderstanding innate illogic of human thinking
Moral courageMoral courage
(... insert ~3 slides from Denise)
ReferencesReferences• ... add references here... add references here
Q & A Q & A and and
DiscussionDiscussion