Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-20T13:38:47.102Z Has data issue: false hasContentIssue false
  • English
  • Français

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
Get access Rights & Permissions [Opens in a new window]

Abstract

An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

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