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  1. 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 EthicsProf. Dr Jean-Daniel Dessimoz, MBAHESSO // Western Switzerland University of Applied Sciences HEIG-VD // School of Business and EngineeringCH-1401 Yverdon-les-Bains, SwitzerlandJean-Daniel.Dessimoz@heig-vd.ch Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  2. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  3. 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.

  4. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  5. 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.

  6. Information Information, models and culture Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  7. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  8. 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.

  9. Knowledge and Cognition Main cognitive entities in MCS theory Framework for cognition Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  10. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  11. 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.

  12. Results of early works in quantitative cognitics Good and false The better model, the more false! Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  13. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  14. 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.

  15. WKD and Ethics Set appropriate goals! Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  16. Content 1. Introduction 2. Information 3. Knowledge and Cognition 4. Results of early works in quantitative cognitics 5. WKD and Ethics 6. Conclusion Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  17. 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 notpastactions that dictates current state • Consider it is somegoals infuture 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.

  18. Thanks for your attention! Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

  19. 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.

  20. Appendix: Main definitions and units in MCS • Information: n=∑pi log2(1/pi) [bit] • Complexity of cognitive domain:L= nout 2nin [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] nout nin Cognitive agent +time Jean-Daniel Dessimoz, HESSO.HEIG-VD, WKD Symposium 2008, 10-13 Sept.

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