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Knowledge Construction as Evolutionary Gaming Y Nakamori (JAIST) Z Zhu (HUBS & JAIST) IIASA Vienna 2005 i.

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Presentation on theme: "Knowledge Construction as Evolutionary Gaming Y Nakamori (JAIST) Z Zhu (HUBS & JAIST) IIASA Vienna 2005 i."— Presentation transcript:

1 Knowledge Construction as Evolutionary Gaming Y Nakamori (JAIST) Z Zhu (HUBS & JAIST) IIASA Vienna 2005 i

2 Our Project … i Shinayanaka principles Oriental dialectics Sociological underpinning

3 Shinayakana しなやかな Systems Principles Perception of systems multiplicity Nonlinear reductionism Integrated assessments Expanding and deepening one’s insight into the system

4 i Agency Action Structure enrich unpack Knowledge construction Technology innovation

5 Scientific Dimension ImaginationIntelligence InterventionIntegration Systemic Knowledge Social Dimension Creative Dimension Issues, Problems Involvement i i System

6 Cognitive- mental front Scientific- actual front Social- relational front Three Fronts as Structure 科学 認知 社会

7 Structure 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

8 i 3 as Multidimensional Agency Intelligence 理 Imagination 想 Involvement 縁 Scientific- actual front 科学 Cognitive- mental front 認知認知 Social- relational front 社会

9 Agency 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

10 Structure, Agency & Action Structure 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

11 What do Actors Do in 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

12 What do Actors Do in 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

13 What do Actors Do in 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

14 Complementary Enduring Performative Fallible Inherited Mutually supportive Competing Emerging Innovative Effective Earned Mutually antagonistic Structure continuums Action continuums Agency continuums Structure, Agency and Action Complexities

15 A ‘What’ View of Knowledge Construction SA Front 科学 CM Front 認知 SR Front 社会 Intelligence 理 Imagination 想 Involvement 縁 InertialProjectiveEvaluative 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

16 Game configuration Structure Agency Modify Revise Structuration Agentisation Operationalised Transpose informactivate Game models Inertial Projective Practical Strategies Nature of the game Generate Co- determine Payoffs Outcome Linked, multiple games

17 Key Features of Evolutionary 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

18 Dimensionality W: Material-tech. S: Mental-cognitive R: Social-relational Complexity Enduring / emerging Complementary / competing Duality Medium / Outcome WSR Agency Dimensionality W: Performative S: Reflexive R: Positional Complexity Inherited / earned Reinforcing / mutual denying Duality Producer / Product WSR Actions W: Inertial S: Projective R: Practical Dimensionality Complexity Routinely / strategic Fallible / effective Structure complexity provides diverse opportunities Agency complexity enables varying strategies Action complexity brings structure and agency into interplay Knowledge construction transforms structure over time Knowledge construction transforms agency over time Structuration as embodiment of knowledge Agentisation as embodiment of learning Duality Reproduction / Transformation WSR Structure A Process View of Knowledge Construction

19 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 Research To researchers

20 Applied 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

21 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 Research To policy-makers

22 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 Research To all stakeholders


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