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 1 Oscillations 2 Wave types 3 Solar seismology 4 Space missions 5 Red giants and asteroseismology 6 References 7 External links

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

• Asteroseismology.org

• Kepler Asteroseismic Science Operations Center (KASOC)

• Stellar Oscillations Network Group (SONG)

• European Helio- and Asteroseismology Network (HELAS)

See Also:

• Musical Acoustics

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:

• Iris-Interface Region Imaging Spectrograph

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

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

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.

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:

• Les Houches 2013
•  Session2, Nadja

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 1 Definition 2 Differences with explicit knowledge 3 Transmission models for tacit knowledge 4 Examples 5 Knowledge management 6 See also 7 References 8 Further reading 9 External links

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

This section does not cite any references or sources. Please help improve this section by adding citations to reliable sources. Unsourced material may be challenged and removed. (October 2012)

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?]}

• Action learning

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).

• The IRG Solution - hierarchical incompetence and how to overcome it argued that tacit knowledge was essentially a property of social networks and that much tacit knowledge was held in, and communicated by this informal lateral communication between network members.

See also

• Knowledge management
• Knowledge tagging
• Procedural knowledge
• Phronesis
• Explicit knowledge
• Descriptive knowledge
• Dispersed knowledge
• Intuition
• Lateral communication
• Lateral media
• Situated knowledge
• Lateral diffusion
• Hidden curriculum
• Cognitive apprenticeship
• Consensus reality
• Community of practice
• Concept map
• Decision making
• Logical consequence
• Activity theory
• Cultural studies
• Michael Polanyi
• Text and Conversation Theory

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
• Patriotta, G. (2004). Studying organizational knowledge. Knowledge Management Research and Practice, 2(1).
• Ploszajski, P.; Saquet, A.; Segalla, M. Le savoir tacite dans un contexte culturel (z: ), Les Echos, Le Quotidien de L’Economie, 18 Novembre 2004, Paris 2004
• Polanyi, Michael. "The Tacit Dimension". First published Doubleday & Co, 1966. Reprinted Peter Smith, Gloucester, Mass, 1983. Chapter 1: "Tacit Knowing".
• Reber, Arthur S. 1993. Implicit learning and tacit knowledge: an essay on the corgnitive unconscious. Oxford University Press. ISBN 0-19-510658-X
• Sanders, A. F. (1988). Michael Polanyi's post critical epistemology, a reconstruction of some aspects of 'tacit knowing'. Amsterdam: Rodopi.
• Smith, M. K. (2003) 'Michael Polanyi and tacit knowledge', the encyclopedia of informal education, www.infed.org/thinkers/polanyi.htm.© 2003 Mark K. Smith
• Tsoukas, H. (2003) ‘Do we really understand tacit knowledge?’ in The Blackwell handbook of organizational learning and knowledge management. Easterby-Smith and Lyles (eds), 411-427. Cambridge, MA: Blackwell Publishing.
• Erik Cambria and Amir Hussain: Sentic Computing: Techniques, Tools, and Applications. Dordrecht, Netherlands: Springer, ISBN: 978-94-007-5069-2, 2012
• Wenger E. Communities of practice: learning, meaning and identity, Cambridge University Press, New York 1998.
• Wilson, Timothy D. 2002. Strangers to ourselves: discovering the adaptive unconscious. Harvard University Press, Cambridge MA. 0-674-01382-4

External links

Look up Tacit in Wiktionary, the free dictionary.

Look up tacit in Wiktionary, the free dictionary.

• More on tacit knowledge in organizations
• Dictionary of Philosophy of Mind - tacit knowledge
• Tacit knowledge, tacit knowing or behaving? by Stephen Gourlay (PDF)
• The Duality of Knowledge
• Processes of Knowledge Transformation from the ITtoolbox Wiki
• National Library for Health Knowledge Management Specialist Library - collection of resources about auditing intellectual capital.

Musical Acoustics

A recipe for a violin

Chladni patterns show the geometry of the different types of vibration of violin plates. This site has an introductory explanation of modes of vibration and a library of photographs of the Chladni patterns of the bellies and backplates of two different violins (one mass-produced and one hand-made). It also has photographs of plates with regular geometries which assist in understanding the violin modes. For some related history, see Chladni's law. For some Chladni patterns on metal plates, with sound files, see Acoustics of bell plates. To make your own Chladni patters, try this site.

See Also:

• Modern tests of the vibrational properties of the unassembled topand back plates of a violin reveal something of what violimakers do by "feel" and lead to thr making of consistently good violins by Carleen Maley Hutchins.

Cool horizons for entangled black holes

Schwarzschild wormholes

General relativity contains solutions in which two distant black holes are connected through the interior via a wormhole, or Einstein-Rosen bridge. These solutions can be interpreted as maximally entangled states of two black holes that form a complex EPR pair. We suggest that similar bridges might be present for more general entangled states.
In the case of entangled black holes one can formulate versions of the AMPS(S) paradoxes and resolve them. This suggests possible resolutions of the firewall paradoxes for more general situations.Cool horizons for entangled black holes Juan Maldacena, Leonard Susskind

One of the most enjoyable and inspiring physics papers I have read in recent years is this one by Mark Van Raamsdonk. Building on earlier observations by Maldacena and by Ryu and Takayanagi. Van Raamsdonk proposed that quantum entanglement is the fundamental ingredient underlying spacetime geometry. Since my first encounter with this provocative paper, I have often mused that it might be a Good Thing for someone to take Van Raamsdonk’s idea really seriously. Entanglement=Wormholes preskill

See Also:

• Finding and abandoning incorrect general relativity lore

• Firewalls, Burning Brightly

Time Begins, When Counting Begins?

Like Copernicus' heliocentric theory, Newton's law of gravitation, and Darwin's theory of evolution, non-Euclidean geometry has radically affected science, philosophy, and religion. It is fair to say that no more cataclysmic event has ever taken place in the history of all thought.Saccheri's Flaw while eliminating Euclid's "Flaw" The Evolution of Non-Euclidean Geometry

The basis of any experience has it's counter part in how we have established the lines to which we place all experiencing on? You cannot count backward to zero(what is before zero...ummmmmm nothing), so what takes zero's place? It would be like asking what existed before this universe, so fundamentally they looked at issues around the false vacuum to the true. But cosmologically they call this universe "a box," and anything outside of it not fundamental?

Time has no independent existence apart from the order of events by which we measure it. — Albert Einstein

When does counting begin? Discover Patterns.  Fibonacci Numbers perhaps? How does that apply to the natural world?

Any measure then, serves to activate a counting to begin? So you choose to be discrete. Some how you cannot distance yourself from any operation as to say the location is other then a configuration space, and that you are operating within it?

So the question is, when do you first become aware? What is considered outside of time, if you think that time refers too, when counting begins? So you are in your subjective states, whether these are real or not remains to be seen, so how do you quantify this? Do you have a way of keeping time in the subjective world.


Abstract space(mathematics) are totally outside of time?

I guess it is sort of like asking what first cause is to imply. Yet, theoretical definition is to say that string theory pushes back time much further to such a beginning then Steven Weinberg's first three minutes. The act in itself is related to "microseconds" when pushing back perspective, and not Weinberg's minutes

The background(WMAP) initially is a foundation with which the universe is painted. Then you add in the progressiveness of the parameters with which you use to define the universe?

So theoretically, you start counting when? The abstractness is contained in the mathematical structure of the universe which has been chosen to be perceived by observing in that abstract framework.

When you've chosen virtually reality, you have choose to model the framework(subjective /objectively) as well? We use it to model abstract language. Is that real?

So recap on use of measure of natural units then.

In physics, natural units are physical units of measurement defined in terms of universal physical constants in such a manner that some chosen physical constants take on the numerical value of one when expressed in terms of a particular set of natural units. Natural units are intended to elegantly simplify particular algebraic expressions appearing in physical law or to normalize some chosen physical quantities that are properties of universal elementary particles and that may be reasonably believed to be constant. However, what may be believed and forced to be constant in one system of natural units can very well be allowed or even assumed to vary in another natural unit system. Natural units are natural because the origin of their definition comes only from properties of nature and not from any human construct. Planck units are often, without qualification, called "natural units" but are only one system of natural units among other systems. Planck units might be considered unique in that the set of units are not based on properties of any prototype, object, or particle but are based only on properties of free space.Natural units

 So we have effectively run into a problem.

 

TWO UNIVERSES of different dimension and obeying disparate physical laws are rendered completely equivalent by the holographic principle. Theorists have demonstrated this principle mathematically for a specific type of five-dimensional spacetime ("anti–de Sitter") and its four-dimensional boundary. In effect, the 5-D universe is recorded like a hologram on the 4-D surface at its periphery. Superstring theory rules in the 5-D spacetime, but a so-called conformal field theory of point particles operates on the 4-D hologram. A black hole in the 5-D spacetime is equivalent to hot radiation on the hologram--for example, the hole and the radiation have the same entropy even though the physical origin of the entropy is completely different for each case. Although these two descriptions of the universe seem utterly unalike, no experiment could distinguish between them, even in principle.

When you are looking out toward the universe you are looking for the reasons as to why the universe is doing what it is doing. What is happening in one place in terms of black hole production in the cosmos? Do these have implications, as in other cosmological sources as to imply, the universe is doing what it is doing?
 

See Also:

• Who is the ClockMaker 
• The Old Wise Man
• Getting Perspective on Time