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The Economics of Enlightenment: Time Value of Knowledge and the Net Present Value (NPV) of Knowledge Machines, A Proposed Approach Adapted from Finance

  • Ravi Kashyap ORCID logo EMAIL logo
Published/Copyright: March 3, 2020

Abstract

We formulate one methodology to put a value or price on knowledge using well accepted techniques from finance. We provide justifications for these finance principles based on the limitations of the physical world we live in. We start with the intuition for our method to value knowledge and then formalize this idea with a series of axioms and models. To the best of our knowledge this is the first recorded attempt to put a numerical value on knowledge. The implications of this valuation exercise, which places a high premium on any piece of knowledge, are to ensure that participants in any knowledge system are better trained to notice the knowledge available from any source. Just because someone does not see a connection does not mean that there is no connection. We need to try harder and be more open to acknowledging the smallest piece of new knowledge that might have been brought to light by anyone from anywhere about anything.

Appendix

A Appendix: List of All Definitions and Assumptions within the Paper

Assumption.

As a first step, we recognize that one possible categorization of different fields can be done by the set of questions a particular field attempts to answer. Since we are the creators of different disciplines, but we may or may not be the creators of the world (based on our present state of knowledge and understanding) in which these fields need to operate, the answers to the questions posed by any domain can come from anywhere or from phenomenon studied under a combination of many other disciplines.

Question. What is the value of knowledge in any field?

Assumption.

Questions & Answers, Q&A, are important, but Definitions and Assumptions, D&A, are even more important since changing D&A could require us to consider different Q&A.

Assumption.

Despite the several advances in the social sciences, we have yet to discover an objective measuring stick for comparison, a so called, True Comparison Theory, which can be an aid for arriving at objective decisions. Hence, despite all the uncertainty in the social sciences, the one thing we can be almost certain about is the subjectivity in all decision making.

Definition.

Type A person, who has All the known knowledge in the universe. So if any new knowledge becomes available, he is desperate to have it, since without this new knowledge he is incomplete.

Definition.

Type Z person, who has no knowledge about anything in the universe. So he cares nothing about any knowledge, wants nothing and his valuation for all pieces of knowledge would be Zero.

Assumption.

The homogeneous expectations assumption in finance is perhaps a very futuristic one where we are picking the best habits and characteristics from our fellow beings (maybe not just humans?); and the environment we live in and the external stimulus we receive tends to become more similar (or we start to perceive it as more alike?), and at some point in the future, we might tend to have more in common with each other, fulfilling this great assumption, which seems more of a prophecy.

Assumption.

Using a related concept from economics regarding equilibriums (Dixon 1990; Varian 1992; Footnote 10), when we continue to evolve and evolve towards similarity, both the typeA and typeZ kind of person can be equilibriums, since they are (they become?) the same kind of person with respect to their views on identifying the value of elements around them.

Definition.

Knowledge is a connection between different elements of this universe. The elements could be many (more than two), two or in some cases, a link from one element to the same element and all other combinations. This requires us to clarify what is an element. We suggest that the element discussed here is anything that belongs to this universe and any characteristic of that element, as observable in this universe (Footnote 12).

Definition.

Knowledge machines are elements themselves that look to create, or discover, or record, connections between the various elements. They are people, research journals, books, music, robots and everything else that fulfills the property of being part of the efforts to add to the collective pool of knowledge. We can also term them knowledge seekers.

Axiom. Knowledge never decreases in value. If it decreases in value, it was never knowledge to begin with. This gives the following discount function, h ( k , n ) , for knowledge.

(15)h(k,n)=(1+k)n1k0

Assumption.

Past knowledge is important the older it is. That is knowledge from long ago is more valuable than knowledge yesterday.

Assumption.

Future knowledge is important the closer it is to us. That is knowledge that is far away from today is less valuable than knowledge about tomorrow.

Assumption.

Certain knowledge could be useful at certain points in time, and then decays around a certain point of high importance.

B Appendix: Dictionary of Notation and Terminology

  1. PV (present value) is the value of money at time = 0 or at the present moment.

  2. FV (future value) is the value of money at time = n or in the future.

  3. n is the number of periods (not necessarily an integer).

  4. i,k are the rates (of money or knowledge, known as interest rate or knowledge rate) at which the corresponding amount (of money or knowledge respectively) compounds each period.

  5. k ¯ is also a knowledge rate.

  6. FV t , is the value of cash flows at time t.

  7. g is the growth rate of money or knowledge over each time period.

  8. f ( ) , is the discount function, which for money is less than one, that is f(i,n)=1/(1+i)n1 or f(i,g,n)=(1+g)n/(1+i)n1 when the growth rate g is included.

  9. h ( k , n ) or h¯(k¯,n) are the discount (or weight) functions for knowledge which are equal to or greater than one, that is, h(k,n)=(1+k)n1k0.

  10. PAVK, PRVK and FUVK denote the past (PA), present (PR) and future (FU) Value of any element of Knowledge.

  11. is sometimes used in mathematics (and physics) for a definition. The notation tm (often) means “t is defined to be m” or “t is equal by definition to m” (often under certain conditions).

C Appendix: Proof of Theorem 1

Proof.

We first try to establish the present value of a particular piece of knowledge that will become known in the future.

Relationship between PRVK and  FUVK

We divide the time between the future and the present into many intervals. The possibility of some knowledge becoming known in the future will depend on the knowledge we have today and how we will add to it in the intervals between now and later as we approach the future time when the new knowledge will become known. The new knowledge rests on the many connections it has with the knowledge we know today and the knowledge that we will accumulate from now till the future point in time. Even if the new knowledge does not depend on any of the existing knowledge and its connections from now to the future, we would still need all this knowledge from now to the future to be able to establish that this new knowledge is independent of the other knowledge elements. We can then consider that this new knowledge will have to be linked (or still requires connections) to many pieces of knowledge in the intervals between now till later or we need to be aware of all this knowledge to establish that there is no relationship between the new future knowledge and the knowledge in between. This can be viewed as the change in the connections the new knowledge will have or the growth in the new knowledge based on the connections it will have, as given by the weight functions (Assumptions 6, 7 and 8):

PRVK  FUVKh(k,n).

We then consider the limit as the number of intervals goes to infinity, that is as n. The present value is then given by,

PRVK limn FUVKh(k,n)

Using the property of the weight function, 

h(k,n)=(1+k)n1k0

Also, noting that since the knowledge across all those time intervals, between the future and now, needs to be connected as discussed in Assumption 7, the growth rate of knowledge is strictly greater than zero or,  k>0. By Axiom 1 every piece of knowledge has value and hence the value of the piece of knowledge that becomes known in the future when it becomes known is greater than zero, FUVK>0. We then have,

P R V K   lim n   F U V K ( 1 + k ) n

P R V K     .

Next, we consider the future value of any piece of knowledge that we have today,

Relationship between FUVK and  PRVK

Using a similar method of dividing the time between the present and future into many intervals, we consider the connections the piece of knowledge we have today is likely to establish with other elements of knowledge as time passes. As before, there will be direct connections between the knowledge today and the knowledge we will accumulate based on it; and to know that the knowledge today does not depend on other knowledge will still require knowing about the other knowledge elements. This can be viewed as the growth in this knowledge or change in this knowledge based on the connections it will have as given by the weight functions (Assumptions 6, 7 and 8)

FUVK  PRVKh¯(k¯,n).

We then consider the limit as the number of intervals goes to infinity, that is as n. The future value is then given by,

FUVK limn PRVKh¯(k¯,n).

Using the property of the weight function,

h ¯ ( k ¯ , n ) = ( 1 + k ¯ ) n 1 k ¯ 0

Also, noting that since the knowledge across all those time intervals, between now and the future, needs to be connected as discussed in Assumption 7, the growth rate of knowledge is strictly greater than zero or, k>0. By Axiom 1 every piece of knowledge has value and hence the value of the piece of knowledge that we have today is greater than zero, PRVK>0. We then have,

F U V K   lim n   P R V K ( 1 + k ) n

F U V K     .

The relationships between the present value and past value; the past value and present value; the past value and future value; and future value and past value can be established using similar arguments as above. To summarize, the below relationships can be shown to give the results in the statement of Theorem 1.

Relationship between PRVK and  PAVK
Relationship between PAVK and  PRVK
Relationship between PAVK and  FUVK
Relationship between FUVK and  PAVK

         □

References

Alberts, B. 2017.Molecular Biology of the Cell. New York City, USA: Garland science.10.1201/9781315735368Search in Google Scholar

Alberts, B., A. Johnson, J. Lewis, M. Raff, K. Roberts, and P. Walter. 2002. Molecular Biology of the Cell New York: Garland Science.Search in Google Scholar

Arntzenius, F., and T. Maudlin. 2002. “Time Travel and Modern Physics.” Royal Institute of Philosophy Supplements 50: 169–200.10.1017/CBO9780511550263.010Search in Google Scholar

Aznar, J., and F. Guijarro. 2007. “Modelling Aesthetic Variables in the Valuation of Paintings: An Interval Goal Programming Approach.” Journal of the Operational Research Society 58 (7): 957–63.10.1057/palgrave.jors.2602218Search in Google Scholar

Barnett, R. 1999. Realizing the University. Education (UK): McGraw-Hill.Search in Google Scholar

Beaver, D. D. 2001. “Reflections on Scientific Collaboration (and Its Study): Past, Present, and Future.” Scientometrics 52 (3): 365–77.10.1023/A:1014254214337Search in Google Scholar

Bhaskar, R. 1998. “Philosophy and Scientific Realism.” In Critical Realism: Essential Readings, edited by Margaret Scotford Archer, 16–47. Routledge.10.4324/9780203090732-7Search in Google Scholar

Bhaskar, R. 2009. Scientific Realism and Human Emancipation. UK: Routledge.10.4324/9780203879849Search in Google Scholar

Bierman Jr., H., and S. Smidt. 2012. “The Time Value of Money.” In The Capital Budgeting Decision Economic Analysis of Investment Projects, 9th ed., edited by Harold Bierman Jr. and Seymour Smidt, 29–59. UK: Routledge.10.1142/9789814273831_0002Search in Google Scholar

Bilaniuk, O. M. P., V. K. Deshpande, and E. G. Sudarshan. 1962. “‘Meta”’ Relativity.” American Journal of Physics 30 (10): 718–23.10.1119/1.1941773Search in Google Scholar

Bodie, Z., A. Kane, and A. Marcus. 2014. Investments, 10th global ed. Berkshire: McGraw-Hill Education.Search in Google Scholar

Boswell, J. 1873. The Life of Samuel Johnson. Edinburgh, Scotland: William P. Nimmo.Search in Google Scholar

Botzung, A., E. Denkova, and L. Manning. 2008. “Experiencing Past and Future Personal Events: Functional Neuroimaging Evidence on the Neural Bases of Mental Time Travel.” Brain and Cognition 66 (2): 202–12.10.1016/j.bandc.2007.07.011Search in Google Scholar

Boyer, P. 2008. “Evolutionary Economics of Mental Time Travel?” Trends in Cognitive Sciences 12 (6): 219–24.10.1016/j.tics.2008.03.003Search in Google Scholar

Bozeman, B., and J. D. Rogers. 2002. “A Churn Model of Scientific Knowledge Value: Internet Researchers as a Knowledge Value Collective.” Research Policy 31 (5): 769–94.10.1016/S0048-7333(01)00146-9Search in Google Scholar

Brealey, R. A., S. C. Myers, F. Allen, and P. Mohanty. 2012. Principles of Corporate Finance. Noida, India: Tata McGraw-Hill Education.Search in Google Scholar

Brown, D. J., and J. Werner. 1995. “Arbitrage and Existence of Equilibrium in Infinite Asset Markets.” The Review of Economic Studies 62 (1): 101–14.10.2307/2297843Search in Google Scholar

Buss, D. M. 1985. “Human Mate Selection: Opposites are Sometimes Said to Attract, But in Fact We are Likely to Marry Someone Who is Similar to Us in Almost Every Variable.” American Scientist 73 (1): 47–51.Search in Google Scholar

Calaprice, A. 2000. The Expanded Quotable Einstein. Princeton, NJ: Princeton.Search in Google Scholar

Carmona, C. I. 2015. “Jewelry Appraisal Handbook.” The Journal of Gemmology 34 (7): 639–40.Search in Google Scholar

Carr, B., ed. 2007. “Universe or Multiverse?” Cambridge, UK: Cambridge University Press.10.1017/CBO9781107050990Search in Google Scholar

Chiarella, C., and X. He. 2001. “Asset Price and Wealth Dynamics Under Heterogeneous Expectations.” Quantitative Finance 1 (5): 509–26.10.1088/1469-7688/1/5/303Search in Google Scholar

Church, G. M., Y. Gao, and S. Kosuri. 2012. “Next-Generation Digital Information Storage in DNA.” Science 1226355.10.1126/science.1226355Search in Google Scholar

Cochrane, J. H. 2009. Asset Pricing, Revised ed. Princeton, New Jersey, USA: Princeton university press.Search in Google Scholar

Costanigro, M., J. J. McCluskey, and R. C. Mittelhammer. 2007. “Segmenting the Wine Market Based on Price: Hedonic Regression When Different Prices Mean Different Products.” Journal of agricultural Economics 58 (3): 454–66.10.1142/9789813232747_0008Search in Google Scholar

Courant, R., H. Robbins, and I. Stewart. 1996. “What is Mathematics?: An Elementary Approach to Ideas and Methods.” USA: Oxford University Press.10.1093/oso/9780195105193.001.0001Search in Google Scholar

Courtney, E. 2013. A Commentary on the Satires of Juvenal (No. 2). Lulu. com.Search in Google Scholar

Cramér, H. 2016. Mathematical Methods of Statistics (PMS-9), vol. 9. Princeton, New Jersey, USA: Princeton university press.Search in Google Scholar

Creswell, J. W. 2002. Educational Research: Planning, Conducting, and Evaluating Quantitative, 146–66. Upper Saddle River, NJ: Prentice Hall.Search in Google Scholar

Crevoisier, O. 2016. “The Economic Value of Knowledge: Embodied in Goods or Embedded in Cultures?” Regional Studies 50 (2): 189–201.10.1080/00343404.2015.1070234Search in Google Scholar

Crouhy-Veyrac, L., M. Crouhy, and J. Melitz. 1982. “More about the law of one price.” European Economic Review 18 (2): 325–44.10.1016/S0014-2921(82)80044-5Search in Google Scholar

Cruz Rambaud, S., and V. Ventre. 2017. “Deforming Time in a Nonadditive Discount Function.” International Journal of Intelligent Systems 32 (5): 467–80.10.1002/int.21842Search in Google Scholar

Dancy, J., E. Sosa, and M. Steup, eds. 2009. A Companion to Epistemology. Hoboken, New Jersey, USA: John Wiley, and Sons.10.1002/9781444315080Search in Google Scholar

De Groot, R. S., M. A. Wilson, and R. M. Boumans. 2002. “A Typology for the Classification, Description and Valuation of Ecosystem Functions, Goods and Services.” Ecological Economics 41 (3): 393–408.10.1016/S0921-8009(02)00089-7Search in Google Scholar

Delaney, C. J., S. P. Rich, and J. T. Rose. 2016. “A Paradox Within The Time Value Of Money: A Critical Thinking Exercise For Finance Students.” American Journal of Business Education (Online) 9 (2): 83.10.19030/ajbe.v9i2.9638Search in Google Scholar

Delanty, G. 2001. “The University in the Knowledge Society.” Organization 8 (2): 149–53.10.1177/1350508401082002Search in Google Scholar

De Beaumont, M. L. P. 1804. Beauty and the Beast. New Delhi, India: Prabhat Prakashan.Search in Google Scholar

Derman, E. 2011. Models Behaving Badly. Why Conusion Illusion with Reality Can Lead to Disaster, on Wall Street and in Life. Hoboken, New Jersey, USA: J. Wiley and Sons.Search in Google Scholar

DeRose, K. 2005. “What is Epistemology.” A Brief Introduction to the Topic, 20.Search in Google Scholar

Deutsch, D., and M. Lockwood. 1994. “The Quantum Physics of Time Travel.” Scientific American 270 (3): 68–74.10.1002/9781118922590.ch27Search in Google Scholar

Diallo, S. Y., J. J. Padilla, I. Bozkurt, and A. Tolk. 2013. “Modeling and Simulation As a Theory Building Paradigm. In Ontology, Epistemology, and Teleology for Modeling and Simulation, 193–206. Berlin, Heidelberg: Springer.10.1007/978-3-642-31140-6_10Search in Google Scholar

Dixon, H. 1990. Equilibrium and Explanation. Published in Creedy J. The Foundations of Economic Thought, 356–394. Blackwells.Search in Google Scholar

Donovan, A., and R. Laudan, eds. 2012. Scrutinizing Science: Empirical Studies of Scientific Change, vol. 193. Berlin/Heidelberg, Germany: Springer Science, and Business Media.Search in Google Scholar

Einstein, A. 1956. Relativity: The Special and the General Theory, 106–106. New York City, USA: Crown Publishers.Search in Google Scholar

Fara, P. 1999. “Catch a Falling Apple: Isaac Newton and Myths of Genius.” Endeavour 23 (4): 167–70.10.1016/S0160-9327(99)80040-4Search in Google Scholar

Figueroa, A. 2016. “Science Is Epistemology.” In Rules for Scientific Research in Economics, 1–14. Cham: Palgrave Macmillan.10.1007/978-3-319-30542-4Search in Google Scholar

Foray, D., and B. A. Lundvall. 1998. “The Knowledge-Based Economy: From the Economics of Knowledge to the Learning Economy.” In The Economic Impact of Knowledge, edited by Tony Siesfeld, Jacquelyn Cefola, and Dale Neef, 115-121. Routledge: UK.10.1016/B978-0-7506-7009-8.50011-2Search in Google Scholar

Foucault, M. 1984. “What is Enlightenment?” In: The Foucault Reader, edited by Paul Rainbow, 32–50. New York City, USA: Pantheon.Search in Google Scholar

Frankham, R. 1995. “Inbreeding and Extinction: A Threshold Effect.” Conservation Biology 9 (4): 792–99.10.1046/j.1523-1739.1995.09040792.xSearch in Google Scholar

Frankham, R. 1997. “Do Island Populations Have Less Genetic Variation than Mainland Populations?” Heredity 78 (3): 311.10.1038/hdy.1997.46Search in Google Scholar

Frederick, S., G. Loewenstein, and T. O’donoghue. 2002. “Time Discounting and Time Preference: A Critical Review.” Journal of economic literature 40 (2): 351–401.10.2307/j.ctvcm4j8j.11Search in Google Scholar

Froot, K. A., M. Kim, and K. Rogoff. 1995. “The Law of One Price Over 700 Years (No. w5132).” National Bureau of Economic Research (NBER) Working Paper No. 5132.10.3386/w5132Search in Google Scholar

Fuchs, S. 1993. “A Sociological Theory of Scientific Change.” Social Forces 71 (4): 933–53.10.2307/2580125Search in Google Scholar

Gerring, J. 2011. Social Science Methodology: A Unified Framework. Cambridge, UK: Cambridge University Press.10.1017/CBO9781139022224Search in Google Scholar

Goodwin, B. K., T. Grennes, and M. K. Wohlgenant. 1990. “Testing the Law of One Price When Trade Takes Time.” Journal of International Money and Finance 9 (1): 21–40.10.1016/0261-5606(90)90003-ISearch in Google Scholar

Gott, J. R. 2002. Time Travel in Einstein’s Universe: The Physical Possibilities of Travel Through Time. Boston, Massachusetts, USA: Houghton Mifflin Harcourt.Search in Google Scholar

Gustafson, C. R., T. J. Lybbert, and D. A. Sumner. 2016. “Consumer Sorting and Hedonic Valuation of Wine Attributes: Exploiting Data from a Field Experiment.” Agricultural Economics 47 (1): 91–103.10.1111/agec.12212Search in Google Scholar

Halliday, D., and R. Resnick. 1967. Physics Part I and II. Hoboken, New Jersey, USA: John Wiley & Sons.Search in Google Scholar

Hamilton, J. D. 1994. Time Series Analysis, vol. 2, 690–96. Princeton, NJ: Princeton university press.10.1515/9780691218632-189Search in Google Scholar

Harré, R. 1985. The Philosophies of Science. Oxford, UK: Oxford University Press.Search in Google Scholar

Hassani, S. 2009. “Dirac Delta Function.” In Mathematical Methods, 139–70. New York, NY: Springer.10.1007/978-0-387-09504-2_5Search in Google Scholar

Hayden, B. Y. 2016. “Time Discounting and Time Preference in Animals: A Critical Review.” Psychonomic Bulletin, and Review 23 (1): 39–53.10.3758/s13423-015-0879-3Search in Google Scholar

Hetherington, S. C. 2018. Knowledge Puzzles: An Introduction To Epistemology. UK: Routledge.10.4324/9780429493553Search in Google Scholar

Highet, G. 1961. Juvenal the Satirist: A Study, vol. 48. Oxford, UK: Oxford University Press.Search in Google Scholar

Isard, P. 1977. “How Far Can We Push the “Law of One Price”?” The American Economic Review 67 (5): 942–48.10.17016/IFDP.1976.84Search in Google Scholar

Ismail, S. 2014. Exponential Organizations: Why New Organizations are Ten Times Better, Faster, and Cheaper than Yours (and What to do About it). New York City, USA: Diversion Books.Search in Google Scholar

Iyer, B. R., and B. Bhawal, eds. 2013. Black Holes, Gravitational Radiation and the Universe: Essays in Honor of CV Vishveshwara, vol. 100. Berlin/Heidelberg, Germany: Springer Science, and Business Media.Search in Google Scholar

Jehle, G. A., and P. J. Reny. 2011. Advanced Microeconomic Theory. Harlow, England, New York: Financial Times.Search in Google Scholar

Kaku, M. 2009. Physics of the Impossible: A Scientific Exploration Into the World of Phasers, Force Fields, Teleportation, and Time Travel. Anchor.Search in Google Scholar

Kant, I. 2013. Originally Written in. 1784. An Answer to the Question: ‘What is Enlightenment?’. UK: Penguin.Search in Google Scholar

Kapferer, B. 2007. “Anthropology and the Dialectic of Enlightenment: A Discourse on the Definition and Ideals of a Threatened Discipline.” The Australian Journal of Anthropology 18 (1): 72–94.10.1111/j.1835-9310.2007.tb00078.xSearch in Google Scholar

Kashyap, R. 2015. “A Tale of Two Consequences.” The Journal of Trading 10 (4): 51–95.10.3905/jot.2015.10.4.051Search in Google Scholar

Kashyap, R. 2017. “Fighting Uncertainty with Uncertainty: A Baby Step.” Theoretical Economics Letters 7 (5): 1431–52.10.4236/tel.2017.75097Search in Google Scholar

Kashyap, R. 2018. “Nature vs Nurture and Science vs Art of Publishing, Life and Everything Else.” Working Paper, Social Science Research Network (SSRN) Link: Nature vs Nurture and Science vs Art of Publishing, Life and Everything Else.10.2139/ssrn.3172817Search in Google Scholar

Kashyap, R. 2019a. “The Perfect Marriage and Much More: Combining Dimension Reduction, Distance Measures and Covariance.” Physica A: Statistical Mechanics and its Applications 536: 120938.10.1016/j.physa.2019.04.174Search in Google Scholar

Kashyap, R. 2019b. “For Whom the Bell (Curve) Tolls: A to F, Trade Your Grade Based on the Net Present Value of Friendships with Financial Incentives.” The Journal of Private Equity 22 (3): 64–81.10.3905/jpe.2019.22.3.064Search in Google Scholar

Katz, J. S., and B. R. Martin. 1997. “What is Research Collaboration?” Research Policy 26 (1): 1–18.10.1016/S0048-7333(96)00917-1Search in Google Scholar

Keller, L. F., and D. M. Waller. 2002. “Inbreeding Effects in Wild Populations.” Trends in Ecology, and Evolution 17 (5): 230–241.10.1016/S0169-5347(02)02489-8Search in Google Scholar

Kosuri, S., and G. M. Church. 2014. “Large-Scale de Novo DNA Synthesis: Technologies and Applications.” Nature methods 11 (5): 499.10.1038/nmeth.2918Search in Google Scholar

Kvanvig, J. L. 2003. The Value of Knowledge and the Pursuit of Understanding. Cambridge, UK: Cambridge University Press.10.1017/CBO9780511498909Search in Google Scholar

Laudan, L., A. Donovan, R. Laudan, P. Barker, H. Brown, J. Leplin, and S. Wykstra. 1986. “Scientific Change: Philosophical Models and Historical Research.” Synthese 69 (2): 141–223.10.1007/BF00413981Search in Google Scholar

Laudan R., L. Laudan, and A. Donovan. 1988. “Testing Theories of Scientific Change.” In Scrutinizing Science. Synthese Library (Studies in Epistemology, Logic, Methodology, and Philosophy of Science), vol 193, edited by A. Donovan, L. Laudan, and R. Laudan, 3–44. Springer, Dordrecht.10.1007/978-94-009-2855-8_1Search in Google Scholar

Lebreton, M., S. Jorge, V. Michel, B. Thirion, and M. Pessiglione. 2009. “An Automatic Valuation System in the Human Brain: Evidence From Functional Neuroimaging.” Neuron 64 (3): 431–39.10.1016/j.neuron.2009.09.040Search in Google Scholar

Leike, A. 2001. “Demonstration of the Exponential Decay Law Using Beer Froth.” European Journal of Physics 23 (1): 21.10.1088/0143-0807/23/1/304Search in Google Scholar

Levy, M., and H. Levy. 1996. “The Danger of Assuming Homogeneous Expectations.” Financial Analysts Journal 52 (3); 65–70.10.2469/faj.v52.n3.1997Search in Google Scholar

Lewis, D. 1976. “The Paradoxes of Time Travel.” American Philosophical Quarterly 13 (2): 145–52.Search in Google Scholar

Little, D. 1991. “Varieties of Social Explanation: An Introduction to the Philosophy of Social Science.Search in Google Scholar

Loewenstein, G., and D. Prelec. 1991. “Negative Time Preference.” The American Economic Review 81 (2): 347–52.Search in Google Scholar

Lutz, J. F., M. Ouchi, D. R. Liu, and M. Sawamoto. 2013. “Sequence-Controlled Polymers.” Science 341 (6146): 1238149.10.1002/9783527806096Search in Google Scholar

MacMillan, D. M. 2008. Diwali: Hindu Festival of Lights. Berkeley Heights, New Jersey, USA: Enslow Publishers, Inc.Search in Google Scholar

Manicas, P. T. 1991. History and Philosophy of Social Science. Hoboken, New Jersey, USA: Wiley-Blackwell.Search in Google Scholar

Mantzicopoulos, P., and H. Patrick. 2010. ““The Seesaw is a Machine That Goes Up and Down”: Young Children’s Narrative Responses to Science-Related Informational Text.” Early Education and Development 21 (3): 412–44.10.1080/10409281003701994Search in Google Scholar

Martin, J. 1996. Cybercorp: The New Business Revolution. New York City, USA: American Management Assoc., Inc.Search in Google Scholar

Marty, W. 2017. “The Time Value of Money.” In Fixed Income Analytics, 5–16. Berlin/Heidelberg, Germany: Springer.10.1007/978-3-319-48541-6_2Search in Google Scholar

Marzilli Ericson, K. M., J. M. White, D. Laibson, and J. D. Cohen. 2015. “Money Earlier or Later? Simple Heuristics Explain Intertemporal Choices Better than Delay Discounting Does.” Psychological Science 26 (6): 826–33.10.1177/0956797615572232Search in Google Scholar

Masset, P., and J. P. Weisskopf. 2015. “Wine Funds: An Alternative Turning Sour?” The Journal of Alternative Investments 17 (4): 6-20.10.3905/jai.2015.17.4.006Search in Google Scholar

McKie, D., and G. R. De Beer. 1951. “Newton’s Apple.” Notes and Records of the Royal society of London 9 (1): 46–54.10.1098/rsnr.1951.0003Search in Google Scholar

Meadows, D. H., D. L. Meadows, J. Randers, and W. W. Behrens. 1972. The Limits to Growth. New York, 102, 27.10.4324/9780429322204-3Search in Google Scholar

Melin, G. 2000. “Pragmatism and Self-Organization: Research Collaboration on the Individual Level.” Research Policy 29 (1): 31–40.10.1016/S0048-7333(99)00031-1Search in Google Scholar

Miotti, L., and F. Sachwald. 2003. “Co-Operative R & D: Why and With Whom?: An Integrated Framework of Analysis.” Research Policy 32 (8): 1481–99.10.1016/S0048-7333(02)00159-2Search in Google Scholar

Morgan, M. S., and M. Morrison, eds. 1999. Models as Mediators: Perspectives on Natural and Social Science, vol. 52. Cambridge, UK: Cambridge University Press.Search in Google Scholar

Nagel, T. 2012. Mortal Questions. Cambridge, UK: Cambridge University Press.10.1017/CBO9781107341050Search in Google Scholar

Nahin, P. J. 2001. Time Machines: Time Travel in Physics, Metaphysics, and Science Fiction. Berlin/Heidelberg, Germany: Springer Science, and Business Media.Search in Google Scholar

Nahin, P. J. 2017. “The Physics of Time Travel: II.” In: Time Machine Tales, 289–337. Springer, Cham.10.1007/978-3-319-48864-6_6Search in Google Scholar

Nelson, R. R. 1959. “The Simple Economics of Basic Scientific Research.” Journal of Political Economy 67 (3): 297–306.10.1086/258177Search in Google Scholar

Newman, J. 2017. “Diwali (Festivals in Different Cultures).” The School Librarian 65 (2): 89.Search in Google Scholar

Nikodým, O. M. 1966. “Dirac’s Delta-Function.” In The Mathematical Apparatus for Quantum-Theories, 724–60. Heidelberg: Springer, Berlin.10.1007/978-3-642-46030-2_26Search in Google Scholar

Norris, C. 1994. “What is enlightenment? Kant According to Foucault.” In The Cambridge Companion to Foucault, 159–96. Cambrdige, UK: Cambridge University Press.10.1017/CCOL9780521403320.009Search in Google Scholar

O’hear, A. 1993. “An Introduction to the Philosophy of Science.” Journal for the Philosophy of Science 44 (4): 743–58.10.1093/bjps/44.4.743Search in Google Scholar

Olson, M., and M. J. Bailey. 1981. “Positive Time Preference.” Journal of Political Economy 89 (1): 1–25.10.1086/260947Search in Google Scholar

Ortiz, C. E., C. A. Stone, and A. Zissu. 2017. “Beer Annuities: Hold the Interest and Principal.” The Journal of Derivatives 24 (4): 108–14.10.3905/jod.2017.24.4.108Search in Google Scholar

Papineau, D. 2002. “Philosophy of Science.” In The Blackwell companion to philosophy, edited by Nicholas Bunnin E. P. Tsui-James, 286–316. Hoboken, NJ, USA: John Wiley.10.1002/9780470996362.ch11Search in Google Scholar

Pavitt, K. 1991. “What Makes Basic Research Economically Useful?” Research Policy 20 (2): 109–19.10.1016/0048-7333(91)90074-ZSearch in Google Scholar

Petters, A. O., and X. Dong. 2016. “The Time Value of Money.” In An Introduction to Mathematical Finance with Applications, 13–82. New York, NY: Springer.10.1007/978-1-4939-3783-7_2Search in Google Scholar

Pitkethly, R. 1997. “The Valuation of Patents: A Review of Patent Valuation Methods with Consideration of Option Based Methods and the Potential for Further Research.” Research Papers in Management Studies-University of Cambridge Judge Institute of Management Studies.Search in Google Scholar

Plomin, R., and D. Daniels. 1987. “Why are children in the same family so different from one another?” Behavioral and brain Sciences 10 (1): 1–16.10.4324/9781351153683-22Search in Google Scholar

Pritchard, D. 2009. “The Value of Knowledge.” The Harvard Review of Philosophy 16 (1): 86–103.10.5840/harvardreview20091616Search in Google Scholar

Pritchard, D., A. Millar, and A. Haddock. 2010. The Nature and Value of Knowledge: Three Investigations. Oxford, UK: Oxford University Press.10.1093/acprof:oso/9780199586264.001.0001Search in Google Scholar

Pritchard, D. 2018. “What is this Thing Called Knowledge?” UK: Routledge.10.4324/9781351980326Search in Google Scholar

Protopapadakis, A., and H. R. Stoll. 1983. “Spot and Futures Prices and the Law of One Price.” The Journal of Finance 38 (5): 1431–55.10.1111/j.1540-6261.1983.tb03833.xSearch in Google Scholar

Psillos, S. 2005. Scientific Realism: How Science Tracks Truth. UK: Routledge.10.4324/9780203979648Search in Google Scholar

Randall, L. 2006. Warped Passages: Unravelling the Universe’s Hidden Dimensions. UK: Penguin press.Search in Google Scholar

Reagan, M. D. 1967. “Basic and Applied Research: A Meaningful Distinction?” Science 155 (3768): 1383–86.10.1126/science.155.3768.1383Search in Google Scholar

Rescigno, A., J. S. Beck, and A. K. Thakur. 1987. “The Use and Abuse of Models.” Journal of Pharmacokinetics and Biopharmaceutics 15 (3): 327–40.10.1007/BF01066325Search in Google Scholar

Rao, C. R. 1973. Linear Statistical Inference and Its Applications. New York: Wiley.10.1002/9780470316436Search in Google Scholar

Rosenberg, A. 2018. Philosophy of Social Science. UK: Routledge.10.4324/9780429494840Search in Google Scholar

Ross, S. A., R. W. Westerfield, and J. F. Jaffe. 2002. Corporate Finance.Search in Google Scholar

Rosser, M., and P. Lis. 2016. Basic Mathematics for Economists. UK: Routledge.10.4324/9781315641713Search in Google Scholar

Roy, R. K., A. Meszynska, C. Laure, L. Charles, C. Verchin, and J. F. Lutz. 2015. “Design and Synthesis of Digitally Encoded Polymers that Can be Decoded and Erased.” Nature Communications 6: 7237.10.1038/ncomms8237Search in Google Scholar

Russell, B. 1948. Human Knowledge: Its Scope and Value. Chicago: Routledge.Search in Google Scholar

Sagan, C. 2006. Cosmos. Edicions Universitat Barcelona.Search in Google Scholar

Sandel, M. J. 2012. What Money Can’t Buy: The Moral Limits of Markets. New York City, USA: Macmillan.Search in Google Scholar

Sankey, H. 2016. Scientific Realism and the Rationality of Science. UK: Routledge.10.4324/9781315607849Search in Google Scholar

Shankar, R. 2012. Principles of Quantum Mechanics. Berlin/Heidelberg, Germany: Springer Science, and Business Media.Search in Google Scholar

Shapere, D. 1980. “The Character of Scientific Change.” In Scientific Discovery, Logic, and Rationality, 61–116. Dordrecht: Springer.10.1007/978-94-009-8986-3_2Search in Google Scholar

Shapere, D. 1989. “Evolution and Continuity in Scientific Change.” Philosophy of Science 56 (3): 419–37.10.1086/289499Search in Google Scholar

Shepard, H. A. 1956. “Basic Research and the Social System of Pure Science.” Philosophy of Science 23 (1): 48–57.10.7312/livi91494-012Search in Google Scholar

Shleifer, A., and R. W. Vishny. 1997. “The Limits of Arbitrage.” The Journal of Finance 52 (1): 35–55.10.3386/w5167Search in Google Scholar

Slatkin, M. 1987. “Gene Flow and the Geographic Structure of Natural Populations.” Science 236 (4803): 787–92.10.1126/science.3576198Search in Google Scholar

Smart, J. J. C. 2014. Philosophy and Scientific Realism. UK: Routledge.10.4324/9780203706237Search in Google Scholar

Stocker, T. F. 1998. “The Seesaw Effect.” Science 282 (5386): 61–62.10.1126/science.282.5386.61Search in Google Scholar

Stukeley, W. 1936. Memoirs of Sir Isaac Newton’s Life. UK: Taylor and Francis.Search in Google Scholar

Suddendorf, T., and J. Busby. 2005. “Making Decisions with the Future in Mind: Developmental and Comparative Identification of Mental Time Travel.” Learning and Motivation 36 (2): 110–25.10.1016/j.lmot.2005.02.010Search in Google Scholar

Suddendorf, T., and J. Busby. 2003. “Mental Time Travel in Animals?” Trends in Cognitive Sciences 7 (9): 391–96.10.1016/S1364-6613(03)00187-6Search in Google Scholar

Suddendorf, T., and M. C. Corballis. 2007. “The Evolution of Foresight: What is Mental Time Travel, and Is It Unique to Humans?” Behavioral and Brain Sciences 30 (3): 299–313.10.1017/S0140525X07001975Search in Google Scholar

Suddendorf, T., D. R. Addis, and M. C. Corballis. 2009. “Mental Time Travel and the Shaping of the Human Mind.” Philosophical Transactions of the Royal Society B: Biological Sciences 364 (1521): 1317–24.10.1098/rstb.2008.0301Search in Google Scholar

Thaler, R. 1981. “Some Empirical Evidence on Dynamic Inconsistency.” Economics Letters 8 (3): 201–07.10.1016/0165-1765(81)90067-7Search in Google Scholar

Thorne, K. 2014. The Science of Interstellar. New York City, USA: WW Norton, and Company.Search in Google Scholar

Toffler, A. 1990. Powershift. New York: Bantam.Search in Google Scholar

Throsby, D. 2003. “Determining the Value of Cultural Goods: How Much (or How Little) Does Contingent Valuation Tell Us?” Journal of Cultural Economics 27 (3–4): 275–85.10.1023/A:1026353905772Search in Google Scholar

Tweney, R. D., M. E. Doherty, and C. R. Mynatt. 1981. On Scientific Thinking. New York City, USA: Columbia University Press.Search in Google Scholar

Wagenaar, W. A., and S. D. Sagaria. 1975. “Misperception of Exponential Growth.” Perception, and Psychophysics 18 (6): 416–22.10.3758/BF03204114Search in Google Scholar

Wu, M. C., and C. Y. Tseng. 2006. “Valuation of Patent-a Real Options Perspective.” Applied Economics Letters 13 (5): 313–18.10.1080/13504850500393477Search in Google Scholar

Valsiner, J. 2007. “Culture in Minds and Societies: Foundations of Cultural Psychology.” Psychological Studies (September 2009) 54: 238–39.10.4135/9788132108504Search in Google Scholar

Varian, H. R. 1992. Microeconomic Analysis. New York City, USA: W. W. Norton & Company.Search in Google Scholar

Weinberg, S. 2007. “Living in the Multiverse.” In Universe or Multiverse?, edited by B. Carr, 29–42. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781107050990.004.10.1017/CBO9781107050990.004Search in Google Scholar

Woodward, J. F. 1995. “Making the Universe Safe for Historians: Time Travel and the Laws of Physics.” Foundations of Physics Letters 8 (1): 1–39.10.1007/BF02187529Search in Google Scholar

Zhao, W., and X. Zhou. 2011. “Status Inconsistency and Product Valuation in the California Wine Market.” Organization Science 22 (6): 1435–48.10.1287/orsc.1100.0597Search in Google Scholar

Zucker, L. G., M. R. Darby, and J. S. Armstrong. 2002. “Commercializing Knowledge: University Science, Knowledge Capture, and Firm Performance in Biotechnology.” Management Science 48 (1): 138–53.10.3386/w8499Search in Google Scholar

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