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How to make Artificial Wisdom possible

Published online by Cambridge University Press:  16 September 2020

Howard C. Nusbaum
Howard C. Nusbaum*
Affiliation:
Center for Practical Wisdom, The University of Chicago, Chicago, IL, USA
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Type
Commentary
Information
International Psychogeriatrics , Volume 32 , Issue 8: Issue Theme: Technology for Brain Health and Artificial Wisdom , August 2020 , pp. 909 - 911
Copyright
© International Psychogeriatric Association 2020

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References

Banks, G. (1986). Artificial intelligence in medical diagnosis: the INTERNIST/CADUCEUS approach. Critical Reviews in Medical Informatics, 1 (1), 23–54.Google ScholarPubMed
Binet, A. and Simon, T. (1916). The Development of Intelligence in Children (pp. 42–43). Baltimore, MD: Williams & Wilkins.Google Scholar
Colby, K.M. (1973). Simulation of belief systems. In: Schank, R. and Colby, K. (Eds.), Computer Models of Thought and Language. San Francisco, CA: W. H. Freeman.Google Scholar
Colby, K.M. (1981). Modeling a paranoid mind. Behavioral and Brain Sciences, 4, 515–534.Google Scholar
Grossmann, I.et al. (2020). The science of wisdom in a polarized world: knowns and unknowns. Psychological Inquiry, 31 (2), 103133. doi: 10.1080/1047840X.2020.1750917.Google Scholar
Forbus, K.D. (2010). AI and cognitive science: the past and next 30 years. Topics in Cognitive Science, 2, 345–356. doi: 10.1111/j.1756-8765.2010.01083.x.Google ScholarPubMed
Jeste, D., Graham, S., Nguyen, T., Depp, C., Lee, E. and Kim, H.-C. (2020). Beyond artificial intelligence: exploring artificial wisdom. International Pyschogeriatrics, 32, 993–1001. doi: 10.1017/S1041610220000927.Google Scholar
Nilsson, N. (2010). The Quest for Artificial Intelligence. Cambridge: Cambridge University Press.Google Scholar
Nusbaum, H. C. (2019). The breakdown of civic virtues and the problem of hate speech: Is there wisdom in freedom of speech? In: Sternberg, R., Nusbaum, H.C. and Gluck, J. (Eds.), Applying Wisdom to Contemporary World Problems (pp. 111–142). London: Palgrave Macmillan.Google Scholar
Searle, J. (1980). Minds, brains and programs. Behavioral and Brain Sciences, 3, 417–457.CrossRefGoogle Scholar
Schwartz, B. and Sharpe, K.E. (2006). Practical wisdom: Aristotle meets positive psychology. Journal of Happiness Studies, 7 (3), 377–395.Google Scholar
Singh, S., Okun, A. and Jackson, A. (2017). Learning to play Go from scratch. Nature, 550, 336–337. doi: 10.1038/550336a.Google ScholarPubMed
Soare, R. (1996). Computability and recursion. Bulletin of Symbolic Logic, 2 (3), 284–321. doi: 10.2307/420992.CrossRefGoogle Scholar
Tiberius, V. (2008). Introduction. The Reflective Life: Living Wisely with Our Limits (ch. 1, pp. 3–18). Oxford, UK: Oxford University Press.Google Scholar
Thaler, R. H. and Sunstein, C. (2008). Nudge. New Haven, CT: Yale University Press.Google Scholar
Turing, A. (1950). Computing machinery and intelligence. In: Feigenbaum, E.A. and Feldman, J.(Eds.), Computers and Thought. New York: McGraw-Hill.Google Scholar
Weizenbaum, J. (1974). Automating psychotherapy. Communications of the Association for Computing Machinery, 17(7), 425.Google Scholar