Wednesday, July 03, 2013

Consciousness, as a Biophotonic System

The structure of optical radiation emitted by the samples of loach fish eggs is studied. It was found earlier that such radiation perform the communications between distant samples, which result in the synchronization of their development. The photon radiation in form of short quasi-periodic bursts was observed for fish and frog eggs, hence the communication mechanism can be similar to the exchange of binary encoded data in the computer nets via the noisy channels. The data analysis of fish egg radiation demonstrates that in this case the information encoding is similar to the digit to time analogue algorithm. Photonic Communications and Information Encoding in Biological Systems
Of course there is some difficulty by assigning life in human form as an assumption of coordinating a life form system based entirely on computerized processes. But at the same time, there has been this struggle with coordinating the idea behind color of gravity and sonification maturation with the basis of understanding the emotive system as part of the communicating system of our experience.

 The term biophotonics denotes a combination of biology and photonics, with photonics being the science and technology of generation, manipulation, and detection of photons, quantum units of light. Photonics is related to electronics and photons.Photons play a central role in information technologies such as fiber optics the way electrons do in electronics.

So definitely,  I would want some physical process that would emulate the sensitivity with which any detector would be present in the determination of those emotions present in the system at any time during any experience.

Nobody is quite sure how cells produce biophotons but the latest thinking is that various molecular processes can emit photons and that these are transported to the cell surface by energy carying excitons. A similar process carries the energy from photons across giant protein matrices during photosynthesis. Biophoton Communication: Can Cells Talk Using Light?

The very topic(biophotonics) while verging on the one side of mysticism, it begs for sensor development processes that would delve deeper into our psychological makeup and physiological processes,  to bring understanding to the human form and endocrine system as a messenger conduit for such communications?

So of course there are many difficulties in recognizing that consciousness itself would speak too, The Photon and Emergence, suffice it is to say that, consciousness could include emotive forces that are derived from such biophoton messengers that help to define the experience?  So this in a way is a starting point for me about what such science may reveal, that we could say such psychological experiences have definitive facets in the spectrum of observation that we are not currently cataloging?





TEDx Brussels 2010 - Stuart Hameroff - Do we have a quantum Soul?

Monday, July 01, 2013

Off to Vancouver Island



We are returning to the Vancouver Island for some Rest and Relaxation. I will probably be posting from there. This time we will be with  my whole clan. My three adult children, and my 8 grandchildren.

Kye Bay


Kye Bay



Parksville



Qualicum Beach

Courtenay




See:

Kepler-22b

This diagram compares our own solar system to Kepler-22, a star system containing the first "habitable zone" planet discovered by NASA's Kepler mission. The habitable zone is the sweet spot around a star where temperatures are right for water to exist in its liquid form. Liquid water is essential for life on Earth.

Kepler-22's star is a bit smaller than our sun, so its habitable zone is slightly closer in. The diagram shows an artist's rendering of the planet comfortably orbiting within the habitable zone, similar to where Earth circles the sun. Kepler-22b has a yearly orbit of 289 days. The planet is the smallest known to orbit in the middle of the habitable zone of a sun-like star. It's about 2.4 times the size of Earth.
Image credit: NASA/Ames/JPL-Caltech

Kepler Mission Manager Update - 503 New Planet Candidates





Kepler-22b is an extrasolar planet orbiting G-type star Kepler-22.[7][8] It is located 600 light years away from Earth in the constellation of Cygnus. It was discovered by NASA's Kepler Space Telescope in 2011 and was the first known transiting planet to orbit within the habitable zone of a Sun-like star.[7][8]

Songs of the Stars: the Real Music of the Spheres

http://www.perimeterinstitute.ca/videos/songs-stars-real-music-spheres

Songs of the Stars: the Real Music of the Spheres

Recording Details Speaker(s): Donald Kurtz
Collection/Series: Perimeter Institute Public Lecture Series
Perimeter Institute Recorded Seminar Archive (PIRSA).


Different oscillation modes penetrate to different depths inside a star.


Asteroseismology (from Greek ἀστήρ, astēr, "star"; σεισμός, seismos, "earthquake"; and -λογία, -logia) also known as stellar seismology[1][2] is the science that studies the internal structure of pulsating stars by the interpretation of their frequency spectra. Different oscillation modes penetrate to different depths inside the star. These oscillations provide information about the otherwise unobservable interiors of stars in a manner similar to how seismologists study the interior of Earth and other solid planets through the use of earthquake oscillations.[2]

Asteroseismology provides the tool to find the internal structure of stars. The pulsation frequencies give the information about the density profile of the region where the waves originate and travel. The spectrum gives the information about its chemical constituents. Both can be used to give information about the internal structure. Astroseismology effectively turns tiny variations in the star's light into sounds.[3]


Contents

Oscillations

The oscillations studied by asteroseismologists are driven by thermal energy converted into kinetic energy of pulsation. This process is similar to what goes on with any heat engine, in which heat is absorbed in the high temperature phase of oscillation and emitted when the temperature is low. The main mechanism for stars is the net conversion of radiation energy into pulsational energy in the surface layers of some classes of stars. The resulting oscillations are usually studied under the assumption that they are small, and that the star is isolated and spherically symmetric. In binary star systems, stellar tides can also have a significant influence on the star's oscillations. One application of asteroseismology is neutron stars, whose inner structure cannot be directly observed, but may be possible to infer through studies of neutron-star oscillations.[citation needed]


Wave types


Waves in sun-like stars can be divided into three different types;[4]
  • p-mode: Acoustic or pressure (p) modes,[2] driven by internal pressure fluctuations within a star; their dynamics being determined by the local speed of sound.
  • g-mode: Gravity (g) modes, driven by buoyancy,[5]
  • f-mode: Surface gravity (f) modes, akin to ocean waves along the stellar surface.[6]
Within a sun-like star, such as Alpha Centauri, the p-modes are the most prominent as the g-modes are essentially confined to the core by the convection zone. However, g-modes have been observed in white dwarf stars.[5]


Solar seismology


Helioseismology, also known as Solar seismology, is the closely related field of study focused on the Sun. Oscillations in the Sun are excited by convection in its outer layers, and observing solar-like oscillations in other stars is a new and expanding area of asteroseismology.

Space missions


A number of active spacecraft have asteroseismology studies as a significant part of their mission.
  • MOST – A Canadian satellite launched in 2003. The first spacecraft dedicated to asteroseismology.
  • COROT – A French led ESA planet-finder and asteroseismology satellite launched in 2006
  • WIRE – A NASA satellite launched in 1999. A failed infrared telescope now used for asteroseismology.
  • SOHO – A joint ESA / NASA spacecraft launched in 1995 to study the Sun.
  • Kepler – A NASA planet-finder spacecraft launched in 2009 that is currently making asteroseismology studies of over a thousand stars in its field, including the now well-studied subgiant KIC 11026764.[7][8]

Red giants and asteroseismology


Red giants are a later stage of evolution of sun-like stars after the core hydrogen fusion ceases as the fuel runs out. The outer layers of the star expand by about 200 times and the core contracts. However, there are two different stages, first one when there is fusion of hydrogen in a layer outside the core, but none of helium in the core, and then a later stage when the core is hot enough to fuse helium. Previously, these two stages could not be directly distinguished by observing the star's spectrum, and the details of these stages were incompletely understood. With the Kepler mission, asteroseismology of hundreds of relatively nearby red giants[9] enabled these two types of red giant to be distinguished. The hydrogen-shell-burning stars have gravity-mode period spacing mostly ~50 seconds and those that are also burning helium have period spacing ~100 to 300 seconds. It was assumed that, by conservation of angular momentum, the expansion of the outer layers and contraction of the core as the red giant forms would result in the core rotating faster and the outer layers slower. Asteroseismology showed this to indeed be the case[10] with the core rotating at least ten times as fast as the surface. Further asteroseismological observations could help fill in some of the remaining unknown details of star evolution.


References

  1. ^ Ghosh, Pallab (23 October 2008). "Team records 'music' from stars". BBC News. Retrieved 2008-10-24.
  2. ^ a b c Guenther, David. "Solar and Stellar Seismology". Saint Mary's University. Retrieved 2008-10-24.
  3. ^ Palmer, Jason (20 February 2013). "Exoplanet Kepler 37b is tiniest yet - smaller than Mercury". BBC News. Retrieved 2013-02-20.
  4. ^ Unno W, Osaki Y, Ando H, Saio H, Shibahashi H (1989). Nonradial Oscillations of Stars (2nd ed.). Tokyo, Japan: University of Tokyo Press.
  5. ^ a b Christensen-Dalsgaard, Jørgen (June 2003). "Chapter 1" (PDF). Lecture Notes on Stellar Oscillations (5th ed.). p. 3. Retrieved 2008-10-24.
  6. ^ Christensen-Dalsgaard, Jørgen (June 2003). "Chapter 2" (PDF). Lecture Notes on Stellar Oscillations (5th ed.). p. 23. Retrieved 2008-10-24.
  7. ^ Metcalfe, T. S.; et al (2010-10-25). "A Precise Asteroseismic Age and Radius for the Evolved Sun-like Star KIC 11026764". The Astrophysical Journal 723 (2): 1583. arXiv:1010.4329. Bibcode:2010ApJ...723.1583M. doi:10.1088/0004-637X/723/2/1583.
  8. ^ "Graphics for 2010 Oct 26 webcast – Images from the Kepler Asteroseismology Science Consortium (KASC) webcast of 2010 Oct 26". NASA. 2010-10-26. Retrieved 3 November 2010.
  9. ^ Bedding TR, Mosser B, Huber D, Montalbaan J, et al. (Mar 2011). "Gravity modes as a way to distinguish between hydrogen- and helium-burning red giant stars". Nature 471 (7340): 608–611. arXiv:1103.5805. Bibcode:2011Natur.471..608B. doi:10.1038/nature09935. PMID 21455175.
  10. ^ Beck, Paul G.; Montalban, Josefina; Kallinger, Thomas; De Ridder, Joris; et al. (Jan 2012). "Fast core rotation in red-giant stars revealed by gravity-dominated mixed modes". Nature 481 (7379): 55–57. arXiv:1112.2825. Bibcode:2012Natur.481...55B. doi:10.1038/nature10612. PMID 22158105.

 

External links






See Also:


Friday, June 28, 2013

NASA | IRIS: The Science of NASA's Newest Solar Explorer



At the end of June 2013, NASA will launch its newest mission to watch the sun: the Interface Region Imaging Spectrograph, or IRIS. IRIS will show the lowest levels of the sun's atmosphere, the interface region, in more detail than has even been observed before. This will help scientists understand how the energy dancing through this area helps power the sun's million-degree upper atmosphere, the corona, as well as how this energy powers the solar wind constantly streaming off the sun to fill the entire solar system.

Data visualizations courtesy of Mats Carlsson and Viggo Hansteen, University of Oslo, Norway

This video is public domain and can be downloaded at: http://svs.gsfc.nasa.gov/goto?1125611



See:

Eben Moglen: The alternate net we need, and how we can build it.....

Tuesday, June 25, 2013

Iris-Interface Region Imaging Spectrograph

This graphic shows the IRIS observatory with the solar arrays removed. The orange section to the left is the spacecraft bus which includes the spacecraft support structure, the command and data handling system, power distribution system, reaction wheels, X- and S-Band communications systems, Li-Ion battery, magnetic torque rods, and electronics for the sun sensors. The section to the right of the spacecraft includes the instrument optics package and electronics, several components of the attitude control system, and the solar arrays. The instrument includes a 20cm telescope optimized for solar observations which feeds a 5 channel imaging spectrograph. The green section is the telescope assembly, the light blue section is the spectrograph, and the dark blue box is the separate instrument electronics box. Credit: LMSAL, LM ATC


NASA is getting ready to launch a new mission, a mission to observe a largely unexplored region of the solar atmosphere that powers its dynamic million-degree outer atmosphere and drives the solar wind. In late June 2013, the Interface Region Imaging Spectrograph, or IRIS, will launch from Vandenberg Air Force Base, Calif. IRIS will advance our understanding of the interface region, a region in the lower atmosphere of the sun where most of the sun's ultraviolet emissions are generated. Such emissions impact the near-Earth space environment and Earth's climate. See:IRIS: Studying the Energy Flow that Powers the Solar Atmosphere

This image shows the Heliophysics System Observatory (HSO). The HSO utilizes the entire fleet of solar, heliospheric, geospace, and planetary spacecraft as a distributed observatory to discover the larger scale and/or coupled processes at work throughout the complex system that makes up our space environment. The HSO consist of 18 operating missions: Voyager, Geotail, Wind, SOHO, ACE, Cluster, TIMED, RHESSI, TWINS, Hinode, STEREO, THEMIS, AIM, CINDI, IBEX, SDO, ARTEMIS, Van Allen Probes Credit: NASA

Thursday, June 20, 2013

Olay to Divine Inspiration

I think one needs to draw a distinction here with regard to what consciousness is able to access, given the understanding that information already exists. That becoming aware of it, as part and parcel of something larger then ourselves.....as in the conscious state access versus the unconscious ability and doorway too.

Anyway, I presented the Dialogues of Plato and the Plays of William Shakespeare as forums in which characters real or imagined, help to move forward the reader under "ideological progressions," as if,  dealing with this inductive/ deductive realization of information and probable outcomes once given the scenarios which are displayed for the mind to entertain Understanding our Angels and Daemons

While one gets to the point of what is self evident, and lays the point or question as a point of gaining access to that information, how does one see this conscious intent, as it gains access to levels of perception becoming fully aware of "other entities(Gateway Program)," versus, access to information in terms of the collective unconscious? Everything is information, and information, is not lost.


   Elizabeth Gilbert muses on the impossible things we expect from artists and geniuses -- and shares the radical idea that, instead of the rare person "being" a genius, all of us "have" a genius. It's a funny, personal and surprisingly moving talk.

    The author of Eat, Pray, Love, Elizabeth Gilbert has thought long and hard about some large topics. Her next fascination: genius, and how we ruin it.Elizabeth Gilbert on nurturing creativity

The question arises in my mind with regard to seeing these entities as being apart from oneself(Daemon) not Demon:) and gaining access to the same information exhibited in recognition of this higher intelligence that already exists in us all?? Are you aware of the content of "deep play?"


    The words daemon, dæmon, are Latinized spellings of the Greek δαίμων (daimôn),[1] used purposely today to distinguish the daemons of Ancient Greek religion, good or malevolent "supernatural beings between mortals and gods, such as inferior divinities and ghosts of dead heroes" (see Plato's Symposium), from the Judeo-Christian usage demon, a malignant spirit that can seduce, afflict, or possess humans See:Daemon (mythology)

I try to elaborate more here. So it was more that we loose something of ourselves when we see the nature of "an entity" as something apart from ourselves as we consciously push the boundaries of information access. I give two examples with regard too, Robert Pirsig and John Nash. More the fear then,  that such genius is associated with illness and that with this creative spark, and assumed so?

This understanding is a foundational perspective that Socrates may have shared as he intently listened to people. He was looking for this ability of people to access and use this aspect of them self. To express aspect of this higher intelligence? Historically then, the understanding and development of the Socratic foundations? Here my view may be skewed by what is mythical as Gilbert portrays of Socratic as to "a being" inside of us, while I intend to show a development of knowledge pursue.

So herein lies the difficulties I am facing with regard to TC.

Sunday, June 16, 2013

Freeman Dyson: 98 - Summer school at Les Houches



Born in England in 1923, Freeman Dyson moved to Cornell University after graduating from Cambridge University with a BA in Mathematics. He subsequently became a professor and worked on nuclear reactors, solid state physics, ferromagnetism, astrophysics and biology. He has published several books and, among other honours, has been awarded the Heineman Prize and the Royal Society's Hughes Medal. See:98-Summer school at Les Houches



See Also:

Saturday, June 15, 2013

Tacit Knowledge

Tacit knowledge (as opposed to formal, codified or explicit knowledge) is the kind of knowledge that is difficult to transfer to another person by means of writing it down or verbalizing it. For example, stating to someone that London is in the United Kingdom is a piece of explicit knowledge that can be written down, transmitted, and understood by a recipient. However, the ability to speak a language, use algebra,[1] or design and use complex equipment requires all sorts of knowledge that is not always known explicitly, even by expert practitioners, and which is difficult or impossible to explicitly transfer to other users.
While tacit knowledge appears to be simple, it has far reaching consequences and is not widely understood.

Contents

Definition

The term “tacit knowing” or “tacit knowledge” was first introduced into philosophy by Michael Polanyi in 1958 in his magnum opus Personal Knowledge. He famously introduces the idea in his later work The Tacit Dimension with the assertion that “we can know more than we can tell.”.[2] According to him, not only is the knowledge that cannot be adequately articulated by verbal means, but also all knowledge is rooted in tacit knowledge in the strong sense of that term.
With tacit knowledge, people are not often aware of the knowledge they possess or how it can be valuable to others. Effective transfer of tacit knowledge generally requires extensive personal contact, regular interaction [3] and trust. This kind of knowledge can only be revealed through practice in a particular context and transmitted through social networks.[4] To some extent it is "captured" when the knowledge holder joins a network or a community of practice.[5]
Some examples of daily activities and tacit knowledge are: riding a bike, playing the piano, driving a car, and hitting a nail with a hammer.[6]
The formal knowledge of how to ride a bicycle is that in order to balance, if the bike falls to the left, one steers to the left. To turn right the rider first steers to the left, and then when the bike falls right, the rider steers to the right.[7] You may know explicitly how turning of the handle bars or steering wheel change the direction of a bike or car, but you cannot simultaneously focus on this and at the same time orientate yourself in traffic.
Similarly, you may know explicitly how to hold the handle of a hammer, but you cannot simultaneously focus on the handle and hit the nail correctly with the hammer. The master pianist can perform brilliantly, but if he begins to concentrate on the movements of his fingers instead of the music, he will not be able to play as a master. Knowing the explicit knowledge, however, is no help in riding a bicycle, doesn’t help in performing well in the tasks since few people are aware of it when performing and few riders are in fact aware of this.
Tacit knowledge is not easily shared. Although it is that which is used by all people, it is not necessarily able to be easily articulated. It consists of beliefs, ideals, values, schemata and mental models which are deeply ingrained in us and which we often take for granted. While difficult to articulate, this cognitive dimension of tacit knowledge shapes the way we perceive the world.
In the field of knowledge management, the concept of tacit knowledge refers to a knowledge possessed only by an individual and difficult to communicate to others via words and symbols. Therefore, an individual can acquire tacit knowledge without language. Apprentices, for example, work with their mentors and learn craftsmanship not through language but by observation, imitation, and practice.
The key to acquiring tacit knowledge is experience. Without some form of shared experience, it is extremely difficult for people to share each other's thinking processes[8]
Tacit knowledge has been described as “know-how” - as opposed to “know-what” (facts), “know-why” (science), or “know-who” (networking)[citation needed]. It involves learning and skill but not in a way that can be written down. On this account knowing-how or embodied knowledge is characteristic of the expert, who acts, makes judgments, and so forth without explicitly reflecting on the principles or rules involved. The expert works without having a theory of his or her work; he or she just performs skillfully without deliberation or focused attention [9]
Tacit knowledge vs. Explicit knowledge:[10] Although it is possible to distinguish conceptually between explicit and tacit knowledge, they are not separate and discrete in practice. The interaction between these two modes of knowing is vital for the creation of new knowledge.[11]

Differences with explicit knowledge

Tacit knowledge can be distinguished from explicit knowledge in three major areas:
  • Codifiability and mechanism of transferring knowledge: while explicit knowledge can be codified, and easily transferred without the knowing subject, tacit knowledge is intuitive and unarticulated knowledge cannot be communicated, understood or used without the ‘knowing subject’. Unlike the transfer of explicit knowledge, the transfer of tacit knowledge requires close interaction and the buildup of shared understanding and trust among them.
  • Main methods for the acquisition and accumulation: Explicit knowledge can be generated through logical deduction and acquired through practical experience in the relevant context. In contrast, tacit knowledge can only be acquired through practical experience in the relevant context.
  • Potential of aggregation and modes of appropriation: Explicit knowledge can be aggregated at a single location, stored in objective forms and appropriated without the participation of the knowing subject. Tacit knowledge in contrast, is personal contextual. It is distributive, and cannot easily be aggregated. The realization of its full potential requires the close involvement and cooperation of the knowing subject.
The process of transforming tacit knowledge into explicit or specifiable knowledge is known as codification, articulation, or specification. The tacit aspects of knowledge are those that cannot be codified, but can only be transmitted via training or gained through personal experience.

Transmission models for tacit knowledge

A chief practice of technological development is the codification of tacit knowledge into explicit programmed operations so that processes previously requiring skilled employees can be automated for greater efficiency and consistency at lower cost. Such codification involves mechanically replicating the performance of persons who possess relevant tacit knowledge; in doing so, however, the ability of the skilled practitioner to innovate and adapt to unforeseen circumstances based on the tacit "feel" of the situation is often lost. The technical remedy is to attempt to substitute brute-force methods capitalizing on the computing power of a system, such as those that enable a supercomputer programmed to "play" chess against a grandmaster whose tacit knowledge of the game is broad and deep.
The conflicts demonstrated in the previous two paragraphs are reflected in Ikujiro Nonaka's model of organizational knowledge creation, in which he proposes that tacit knowledge can be converted to explicit knowledge. In that model tacit knowledge is presented variously as uncodifiable ("tacit aspects of knowledge are those that cannot be codified") and codifiable ("transforming tacit knowledge into explicit knowledge is known as codification"). This ambiguity is common in the knowledge management literature.
Nonaka's view may be contrasted with Polanyi's original view of "tacit knowing." Polanyi believed that while declarative knowledge may be needed for acquiring skills, it is unnecessary for using those skills once the novice becomes an expert. And indeed, it does seem to be the case that, as Polanyi argued, when we acquire a skill we acquire a corresponding understanding that defies articulation [12]

Examples

  • One of the most convincing examples of tacit knowledge is facial recognition. ‘‘We know a person’s face, and can recognize it among a thousand, indeed a million. Yet we usually cannot tell how we recognize a face we know, so most of this cannot be put into words.’’. When you see a face you are not conscious about your knowledge of the individual features (eye, nose, mouth), but you see and recognize the face as a whole [13]
  • Another example of tacit knowledge is the notion of language itself—it is not possible to learn a language just by being taught the rules of grammar—a native speaker picks it up at a young age almost entirely unaware of the formal grammar which they may be taught later. Other examples are how to ride a bike, how tight to make a bandage, or knowing whether a senior surgeon feels an intern may be ready to learn the intricacies of surgery; this can only be learned through personal experimentation.
  • Collins showed [14] that a particular laser (The ppTEA laser) was designed in America and the idea, with specific assistance from the designers, was gradually propagated to various other universities world-wide. However, in the early days, even when specific instructions were sent, other labs failed to replicate the laser, it only being made to work in each case following a visit to or from the originating lab or very close contact and dialogue. It became clear that while the originators could clearly make the laser work, they did not know exactly what it was that they were doing to make it work, and so could not articulate or specify it by means of monologue articles and specifications. But a cooperative process of dialogue enabled the tacit knowledge to be transferred.
  • Another example is the Bessemer steel process — Bessemer sold a patent for his advanced steel making process and was sued by the purchasers who couldn't get it to work. In the end Bessemer set up his own steel company because he knew how to do it, even though he could not convey it to his patent users. Bessemer's company became one of the largest in the world and changed the face of steel making.[15]
  • As apprentices learn the craft of their masters through observation, imitation, and practice, so do employees of a firm learn new skills through on-the-job training. When Matsushita started developing its automatic home bread-making machine in 1985, an early problem was how to mechanize the dough-kneading process, a process that takes a master baker years of practice to perfect. To learn this tacit knowledge, a member of the software development team, Ikuko Tanaka, decided to volunteer herself as an apprentice to the head baker of the Osaka International Hotel, who was reputed to produce the area’s best bread. After a period of imitation and practice, one day she observed that the baker was not only stretching but also twisting the dough in a particular fashion (“twisting stretch”), which turned out to be the secret for making tasty bread. The Matsushita home bakery team drew together eleven members from completely different specializations and cultures: product planning, mechanical engineering, control systems, and software development. The “twisting stretch” motion was finally materialized in a prototype after a year of iterative experimentation by the engineers and team members working closely together, combining their explicit knowledge. For example, the engineers added ribs to the inside of the dough case in order to hold the dough better as it is being churned. Another team member suggested a method (later patented) to add yeast at a later stage in the process, thereby preventing the yeast from over-fermenting in high temperatures.[16]

Knowledge management

According to Parsaye, there are three major approaches to the capture of tacit knowledge from groups and individuals. They are:[17]
  • Interviewing experts.
  • Learning by being told.
  • Learning by observation.
Interviewing experts can be done in the form of structured interviewing or by recording organizational stories. Structured interviewing of experts in a particular subject is the most commonly used technique to capture pertinent, tacit knowledge. An example of a structured interview would be an exit interview. Learning by being told can be done by interviewing or by task analysis. Either way, an expert teaches the novice the processes of a task. Task analysis is the process of determining the actual task or policy by breaking it down and analyzing what needs to be done to complete the task. Learning by observation can be done by presenting the expert with a sample problem, scenario, or case study and then observing the process used to solve the problem.[citation needed]
Some other techniques for capturing tacit knowledge are:[citation needed][original research?]
All of these approaches should be recorded in order to transfer the tacit knowledge into reusable explicit knowledge.
Professor Ikujiro Nonaka has proposed the SECI (Socialization, Externalization, Combination, Internalization) model, one of the most widely cited theories in knowledge management, to present the spiraling knowledge processes of interaction between explicit knowledge and tacit knowledge (Nonaka & Takeuchi 1995).

See also

References

  1. ^ Collins, H.M. "Tacit Knowledge, Trust and the Q of Sapphire" Social Studies of Science' p. 71-85 31(1) 2001.
  2. ^ Polanyi, Michael (1966), The Tacit Dimension, University of Chicago Press: Chicago, 4.
  3. ^ Goffin, K. & Koners, U. (2011). Tacit Knowledge, Lessons Learnt, and New Product Development. J PROD INNOV MANAG, 28, 300-318.
  4. ^ Schmidt, F. L., & Hunter, J. E. (1993). Tacit knowledge, practical intelligence, general mental ability, and job knowledge. Current Directions in Psychological Science, 2, 8-9.
  5. ^ Goffin, K. & Koners, U. (2011). Tacit Knowledge, Lessons Learnt, and New Product Development. J PROD INNOV MANAG, 28, 300-318.
  6. ^ Engel, P. J. H. (2008). Tacit knowledge and Visual Expertise in Medical Diagnostic Reasoning: Implications for medical education. Medical Teacher, 30, e184-e188. DOI: 10.1080/01421590802144260.
  7. ^ http://en.wikipedia.org/wiki/Bicycle_and_motorcycle_dynamics
  8. ^ Lam, A. (2000). Tacit Knowledge, Organizational Learning and Societal Institutions: An Integrated Framework. Organization Studies 21(3), 487-513.
  9. ^ Schmidt, F. L., & Hunter, J. E. (1993). Tacit knowledge, practical intelligence, general mental ability, and job knowledge. Current Directions in Psychological Science, 2, 8-9.
  10. ^ Lam, A. (2000). Tacit Knowledge, Organizational Learning and Societal Institutions: An Integrated Framework. Organization Studies 21(3), 487-51.
  11. ^ Angioni, G., Fare, dire, sentire: l'identico e il diverso nelle culture, Il Maestrale, 2011, 26-99
  12. ^ Schmidt, F. L., & Hunter, J. E. (1993). Tacit knowledge, practical intelligence, general mental ability, and job knowledge. Current Directions in Psychological Science, 2, 8-9.
  13. ^ Lam, A. (2000). Tacit Knowledge, Organizational Learning and Societal Institutions: An Integrated Framework. Organization Studies 21(3), 487-513.
  14. ^ Collins, H.M. "Tacit Knowledge, Trust and the Q of Sapphire" Social Studies of Science' p. 71-85 31(1) 2001
  15. ^ J.E. Gordon, "The new science of strong materials", Penguin books.
  16. ^ Nonaka, Ikujiro; Takeuchi, Hirotaka (1995), The knowledge creating company: how Japanese companies create the dynamics of innovation, New York: Oxford University Press, pp. 284, ISBN 978-0-19-509269-1.
  17. ^ Parsaye, Kamran; Chignell, Mark (1988), Expert systems for experts, Hoboken, NJ: Wiley, p. 365, ISBN 978-0-471-60175-3

Further reading

  • Angioni G., Doing, Thinkink, Saying, in Sanga & Ortalli (eds.) , Nature Knowledge, Berghahm Books, New York-Oxford 2004, 249-261.
  • Angioni, G., Fare, dire, sentire: l'identico e il diverso nelle culture, Il Maestrale, 2011, 26-99
  • Bao, Y.; Zhao, S. (2004), "MICRO Contracting for Tacit Knowledge - A Study of Contractual Arrangements in International Technology Transfer", in Problems and Perspectives of Management, 2, 279- 303.
  • Brohm, R. Bringing Polanyi onto the theatre stage: a study on Polanyi applied to Knowledge Management, in: Proceedings of the ISMICK Conference, Erasmus University, Rotterdam, The Netherlands, 1999, pp. 57–69.
  • Brohm, R. (2005), Polycentric Order in Organizations, Erasmus University Rotterdam: Published dissertation ERIM, hdl:1765/6911
  • Collins, H.M. "Tacit Knowledge, Trust and the Q of Sapphire" Social Studies of Science' p. 71-85 31(1) 2001
  • Dalkir, Kimiz (2005) "Knowledge Management in Theory and Practice" pp. 82–90
  • Gladwell, Malcolm 2005. Blink: the power of thinking without thinking. Little, Brown: New York.
  • Gourlay, Stephen, "An Activity Centered Framework for Knowledge Management". In Claire Regina McInerney, Ronald E. Day (2007). Rethinking knowledge management. Springer. ISBN 3-540-71010-8.
  • Nonaka, Ikujiro; Takeuchi, Hirotaka (1995), The knowledge creating company: how Japanese companies create the dynamics of innovation, New York: Oxford University Press, p. 284, ISBN 978-0-19-509269-1
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