knowledge construction as evolutionary gaming y nakamori (jaist) z zhu (hubs & jaist) iiasa...
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Knowledge Construction Knowledge Construction as Evolutionary Gamingas Evolutionary Gaming
Y Nakamori (JAIST)Z Zhu (HUBS & JAIST)
IIASAVienna 2005
i
ShinayakanaShinayakana しなやかな しなやかな
Systems PrinciplesSystems Principles Perception of systems
multiplicity Nonlinear reductionism Integrated assessments Expanding and deepening
one’s insight into the system
Scientific Dimension
ImaginationIntelligence
InterventionIntegration
Systemic Knowledge
Social Dimension
Creative Dimension
Issues, Problems
Involvement
i
ii System System
Cognitive-mental front
Scientific-actual front
Social-relational front
Three Fronts as StructureThree Fronts as Structure科学
認知社会
Structure ComplexityStructure Complexity
Coherent and plural Complementarities and tensions Profound and ambiguous Enduring and emergent
Structure complexity provides opportunities for innovation & change
Structure systemic contexts
SA Front 科学
CM Front 認知
SR Front 社会Established theory, technology artifact, broader context
Norms, values, expectations, legitimacy
‘Normal science’, habitus, schema, routine, language
ii33 as Multidimensional Agency as Multidimensional Agency
Intelligence理
Imagination想 Involvement
縁
Scientific-actual front
科学
Cognitive-mental front
認知Social-
relational front
社会
Agency ComplexityAgency Complexity
Inherited vs. earned Mutually enforcing vs. denying Enduring vs. emerging Positioning vs. realised Individual vs. collective The ‘agency of others’
Agency complexity allows actors act differently
Agency complexity enable actors act differently
Intelligence 理
Imagination 想
Involvement 縁Post-rationality,
intuition, ignorance, innocence
A-rationality, interest, emotion, social capital/skill
Rationality, experience, logic, technical skills
Structure, Agency & ActionStructure, Agency & ActionStructure
complexity opportunities
for innovation
SA Front 科学
SR Front 社会Established theory, technology artifact, broader context
Norms, values, expectations, legitimacy
‘Normal science’, habitus, schema, routine, language
Agency complexity enable actors act differently
Intelligence 理
Imagination 想
Involvement 縁Post-rationality,
intuition, ignorance, innocence
A-rationality, interest, emotion, social capital/skill
Rationality, experience, logic, technical skills
CM Front 認知
What, and how, actors do?Social action
What do Actors Do in What do Actors Do in Knowledge Construction?Knowledge Construction?
Selective attention Recognition/match of
type/experience Transpose rules/schemas
to new circumstances Appropriate repertoires
to ‘get things done’
SA Front 科学
Intelligence 理
Established theory, technology artifact, broader context
Rationality, experience, logic, technical skills
Rational-inertial
Enhance existing ways and contexts of seeing/doing things
What do Actors Do in What do Actors Do in Knowledge Construction?Knowledge Construction?
Anticipatory identification Narrative construction
(scenarios?) Spin out alternative
trajectories (road-maps?) Experimental enactment
CM Front 認知
Imagination 想Post-rationality,
intuition, ignorance, innocence
‘Normal science’, habitus, schema, routine, language
A-rational- projective
Alter existing ways and contexts of seeing/doing things
What do Actors Do in What do Actors Do in Knowledge Construction?Knowledge Construction?
Problematisation Enrolment Deliberation Institutionalisation
SR Front 社会
Involvement 縁
Norms, values, expectations, legitimacy
A-rationality, interest, emotion, social capital/skill
Practical-evaluative
Reconfigure ways and contexts of seeing/doing things
Complementary
Enduring
PerformativeFallible
InheritedMutually supportive
Competing
Emerging
InnovativeEffective
EarnedMutually antagonistic
Structure continuums
Action continuums
Agency continuums
Structure, Agency and ActiStructure, Agency and Action Complexitieson Complexities
A ‘What’ View ofA ‘What’ View ofKnowledge ConstructionKnowledge Construction
SA Front 科学 CM Front 認知 SR Front 社会
Intelligence 理 Imagination 想 Involvement 縁
Inertial Projective Evaluative
Established theory, technology artifact, broader context
Norms, values, expectations, legitimacy
Post-rationality, intuition, ignorance innocence
A-rationality, interest, emotion, social capital/skill
Rationality, experience, logic, technical skills
‘Normal science’, habitus, schema, routine, language
Structure systemic contexts
Agency transformative
capability
Action knowledge
construction
Game configuration
Structure
Agency
Modify
Revise
Structuration
Agentisation
Operationalised
Transpose
inform activate
Game models
Inertial
Projective
Practical
Strategies
Nature of the game
Generate
Co-determine
PayoffsOutcome
Linked, multiple games
Key Features of Key Features of Evolutionary GamingEvolutionary Gaming
Reconciles freedom of human agency and constraints of social structure
Structure and agency interact via situated gaming Actors pursue own interests but need to consider others Game configuration vs. game models Nature of the game shapes strategies Multiple, linked games across domains Payoffs modify game configuration and models No complete knowledge is assumed, learning is the key Transforming both structure and agency in long term
DimensionalityW: Material-tech. S: Mental-cognitive R: Social-relational
Complexity
Enduring / emerging Complementary / competing
Duality
Medium / Outcome
WSR Agency
DimensionalityW: PerformativeS: ReflexiveR: Positional
Complexity
Inherited / earned Reinforcing / mutual denying
Duality
Producer / Product
WSR Actions
W: InertialS: ProjectiveR: Practical
Dimensionality
Complexity
Routinely / strategic Fallible / effective
Structure complexity provides diverse op
portunities
Agency complexity enables varying strat
egies
Action complexity brings structure and agency in
to interplayKnowledge construction transforms structure over time
Knowledge construction transforms agency o
ver time
Structuration as
embodiment of knowledge
Agentisation as
embodiment of learning
Duality
Reproduction / Transformation
WSR Structure
A Process View of A Process View of Knowledge ConstructionKnowledge Construction
How to search for broad and balanced agency while at the same time materialise my/our distinct advantage in a particular agency disposal?
How to adjust between various orientations of action as situational contingency unfolds?
Applied ResearchApplied ResearchTo researchers
Applied ResearchApplied Research
How to sensitise researchers toward structure-agency-action complexities?
How to recruit and train for various kinds of agency and nurture different temporal-relational contexts so as to facilitate and support robust actions?
To managers
How to reform social institutions and practices, e.g., education, in order to reconstruct the agency of citizens?
How to innovate suitable policies/systems for different industries/sectors which may demand different combinations of agency as well as contexts?
Applied ResearchApplied ResearchTo policy-makers
How to heighten our political sensitivity so as to take socially informed KM actions?
How to ensure KM benefits the good for all, for both Human and Nature?
How to enlarge our KM horizon so that knowledge creation and application is wuli workable, shili feasible and renli acceptable?
Applied ResearchApplied ResearchTo all stakeholders