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Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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WORLD KNOWLEDGE DIALOGUE SYMPOSIUM 2008, 10-13 September 2008,
Crans-Montana, Switzerland, http://www.wkdialogue.ch/
Measuring Knowledge and Other Cognitive Properties ;
Consequences in Terms of Ethics
Prof. Dr Jean-Daniel Dessimoz, MBA
HESSO // Western Switzerland University of Applied Sciences HEIG-VD // School of Business and Engineering
CH-1401 Yverdon-les-Bains, [email protected]
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Introduction
• Progress of humanity with science • Clear definitions, metrics• Careful measurements, quantitative observation…• … leading to powerful new theories, techniques, innovations• Building on information theory…• … define knowledge, cognition, cognitics and related metrics• Particular results:
• infinitesimal perception of reality• critical role of selected goals and ethics
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Information
• Firm background • shaping up people’s opinion• Surprise, probability calculus • Bits and Mb.
• Unfamiliar limits• Model based - tractable size• Subjective nature - re. Receiver expectations• Time dependance - e.g. no information in repeated
message
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Information
Information, models and culture
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Knowledge and Cognition
• Beyond (static) information (e.g. dictionnary, movie reel, recorded news)
• Knowledge (in a particular domain)
• Ability to generate relevant information• Requires implementation on a (cognitive) system• Quantitatively defined by analogy to the size of a virtual table containing
all possible answers
• Cognition• Includes features other than knowledge: e.g. abstraction, expertise,
learning or complexity• Expertise is a crucial concept: relates not only to knowledge, but also
time. Reference for learning etc. (re. MCS cognition theory)
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Knowledge and Cognition
Main cognitive entities in MCS theory
Framework for cognition
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Results of early works in quantitative cognitics
• Benefits• Unambiguous definitions, comparability• Clear estimation of capabilities and requirements
• Limits inherited from information nature• Modeling - Reality is not upon reach?• Subjectivity - New York Times or Rohrschach inkblot?
• Limits relating to cognition context• Success experienced in some huge cognition domains• To what extent can this be generalized? If yes how?
• Additional benefits - new directions• Metrics show that infinitesimal knowledge may be OK• Modeling requires goal setting: Reverse causal direction!
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Results of early works in quantitative cognitics
The better model, the more
false!
Good and false
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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WKD and Ethics
• Addressing knowledge issues at world level is probably optimal. • As shown above, knowledge and cognition call for goals. Ethics.
– Only then, good models can be elaborated … – … and quantitative, scientific approaches can be performed so as to
eventually reach those goals.
• Boosting factors for WKD :– Make (worldwide players) goals explicit – Preferably, adjust them to reduce negative interferences – “Reversing the causal direction” suggests further to dream of common
goals. Then cognition and dedicated work may let those dreams come true.
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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WKD and Ethics
Set appropriate goals!
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Content
1. Introduction 2. Information3. Knowledge and Cognition4. Results of early works in quantitative
cognitics5. WKD and Ethics6. Conclusion
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Conclusion
• Refer to classical information, and newly defined knowledge, cognitive concepts and quantitative cognitics (re. also ref. and appendix)
• This calls for reversing the usual causality chain• Consider it is not past actions that dictates current state• Consider it is some goals in future that can effectively trigger current
cognitive processes and actions.• Surprisingly converges with many irrational yet culturally well-
established paradigms ( betting on placebo effects, brain storming, chance, fortune tellers, etc.!)
• Let’s sketch together an enthusiastic, visionary future for our world, then knowledge and cognition will lead us there.
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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Thanks for your attention!
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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More information…
“La Cognitique- Définitions et métrique pour les sciences cognitives et la cognition automatisée”, Jean-Daniel Dessimoz, ISBN 978-2-9700629-0-5, Aug. 2008, http://cognitique.populus.ch.)
Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.
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– Information: n=∑pi log2(1/pi) [bit]
– Complexity of cognitive domain : L= nout 2
nin [bit]
– Knowledge : K=log2(nout 2nin +1) [lin]
– Expertise : E=K/∆t [lin/s] – Learning : ∆E=E(t1)-E(t0); >0 [lin/s] – Experience : R=r(nin+nout)= ∆n [bit];
– Intelligence : I=∆E/∆n [lin/s/bit]
Appendix: Main definitions and units in MCS
Cognitive agent
nin nout
+time