Abstract
The book is concerned with key aspects on identity of the human. Principally, the author motivates to tackle this aporia standing on the perspective of digital social science at once. This chapter concentrates on how digital social science should devote to considering the nature of identity of the human-being and what the human-being is in terms of both advanced technologies and social sciences.
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- 1.
“A definition of Artificial Intelligence: main capabilities and scientific disciplines”, https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=56341.
References
Allport, G. W. (1985). The historical background of social psychology. In G. Lindzey & E. Aronson (Eds.), The handbook of social psychology (3rd ed.). New York: Random House.
Bainbridge, W. S., et al. (1994). Artificial social intelligence. Annual Review of Sociology, 20, 407–436.
Carley, K. M. (1995). Computational and mathematical organization theory: Perspective and directions. Computational & Mathematical Organization Theory, 1(1), 39–56.
Carley, K. M. (1996). Artificial intelligence within sociology. Sociological Methods & Research, 25(1), 3–30.
Cast, A. D. (2004). Role-taking and interaction. Social Psychology Quarterly, 67, 296–309.
Castelfranchi, C., & Tan, Y.-H. (2002). The role of trust an deception in virtual societies. International Journal of Electronic Commerce, 6(3), 55–70.
Cervone, D., & Mischel, W. (2002). Advances in personality science. New York: Guilford.
Cervone, D., & Shoda, Y. (1999). The coherence of personality. New York: Guilford.
Conte, R., et al. (2012). Manifesto of computational social science. The European Physical Journal, Special Topics, 214(1), 325–346.
Descartes, R. (2010). Meditationes de prima philosophia, Fili-Quarian classics (English translated edition).
Dreyfus, H. L., & Dreyfus, S. (1986). Mind over machine: The power of human intuition and expertise in the era of the computer. New York: Free Press.
Epstein, J. M. (2007). Generative social science: Studies in agent-based computational modeling. Princeton, NJ: Princeton University Press.
European Parliament resolution of 16 February 2017 with recommendations to the Commission on Civil Law Rules on Robotics (2015/2103(INL)). (2017). Retrieved from http://www.europarl.europa.eu/sides/getDoc.do?pubRef=-//EP//NONSGML+TA+P8-TA-2017-0051+0+DOC+PDF+V0//EN
Floridi, L. (2011). The informational nature of personal identity. Minds & Machines, 21, 549–566.
Floridi, L. (Ed.). (2016). The Routledge handbook of philosophy of information. London: Routledge.
Frankish, K., & Ramsey, W. M. (2014). The Cambridge handbook of artificial intelligence. Cambridge: Cambridge University Press.
Gilbert, N., & Troitzsch, K. G. (1999). Simulation for the social scientist. London: Open University Press.
Goncalves, B., & Perra, N. (Eds.). (2015). Social phenomena: From data analysis to models (computational social sciences). Cham: Springer.
Hegselmann, R., Mueller, U., & Troitzsch, K. G. (Eds.). (1996). Modelling and simulation in the social sciences from a philosophy of science, point of view. Dordrecht: Kluwer.
Heidegger, M. (2008). Sein und Zeit (English translated edition). New York: Harper Perennial Modern Classics.
Hutchison, C. A., III, et al. (2016). Design and synthesis of a minimal bacterial genome. Science, 351(6280), aad6253. https://doi.org/10.1126/science.aad6253.
Kitano, H. (2002). Systems biology: A brief overview. Science, 295(5560), 1662–1664.
Kohler, T. A., & Gumerman, G. J. (2000). Dynamics in human and primate societies. New York: Oxford University Press.
Lazer, D., et al. (2009). Computational social science. Science, 323(5915), 721–723.
Liebrand, W. B. G., Nowak, A., & Hegselmann, R. (1998). Computer modeling of social processes. London: Sage.
Markovsky, B., & Jin, W. (2002). Theories, tests and computer simulations. Annual meetings of the American Sociological Association. Retrieved from http://home.sc.rr.com/bmarkovsky/Papers/ASASim02.pdf
McGee, E. M., & Maguire, G. Q. (2007). Becoming Borg to become immortal: Regulating brain implant technologies. Cambridge Quarterly of Healthcare Ethics, 16(3), 291–302.
Michel, M., et al. (2019). Opportunities and challenges for a maturing science of consciousness. Nature Human Behaviour, 3, 104–107.
Miller, S. L. (1953). A production of amino acids under possible primitive earth conditions. Science, 117(3046), 528–529. https://doi.org/10.1126/science.117.3046.528.
Miller, S. L., & Urey, H. C. (1959). Organic compound synthesis on the primitive earth: Several questions about the origin of life have been answered, but much remains to be studied. Science, 130(3370), 245–251. https://doi.org/10.1126/science.130.3370.245.
Parsons, T. (1970). Social structure and personality. New York: Free Press.
Pentland, A. (2014). Social physics. New York: Penguin Press.
Read, S. J., & Miller, L. C. (1998). Connectionist models of social reasoning and social behavior. Mahwah, NJ: LEA.
Romportl, J., Zackova, E., & Kelemen, J. (Eds.). (2015). Beyond artificial intelligence: The disappearing human-machine divide. Cham: Springer.
Russell, S., & Norvig, P. (2009). Artificial intelligence: A modern approach. Upper Saddle River, NJ: Prentice Hall.
Sawyer, R. K. (2001). Emergence in sociology: Contemporary philosophy of mind and some implications for sociological theory. American Journal of Sociology, 107, 551–585.
Sawyer, R. K. (2002a). Durkheim’s dilemma: Toward a sociology of emergence. Sociological Theory, 20, 227–247.
Sawyer, R. K. (2002b). Emergence in psychology: Lessons from the history of non-reductionist science. Human Development, 45, 2–28.
Sawyer, R. K. (2003). Emergence in sociology: Contemporary philosophy of mind and some implications for sociological theory. American Journal of Sociology, 107, 551–585.
Shibuya, K. (2004). A framework of multi-agent based modeling, simulation and computational assistance in an ubiquitous environment. Simulation, 80(7–8), 367–380.
Stephanopoulos, G., & Stephanopoulos, G. (1986). Artificial intelligence in the development and design of biochemical processes. Trends in Biotechnology, 4(9), 241–249.
Sun, R. (Ed.). (2008). The Cambridge handbook of computational psychology. New York: Cambridge University Press.
Van Overwalle, F. (2007). Social connectionism: A reader and handbook for simulations. New York: Psychology Press.
Weiss, G. (2000). Multiagent systems a modern approach to distributed artificial intelligence. Cambridge, MA: MIT Press.
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Shibuya, K. (2020). Investigating Identity. In: Digital Transformation of Identity in the Age of Artificial Intelligence. Springer, Singapore. https://doi.org/10.1007/978-981-15-2248-2_2
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