Abstract
The term “Contemplative sciences” refers to an interdisciplinary approach to mind that aims at a better understanding of alternative states of consciousness, like those obtained trough deep concentration and meditation, mindfulness and other “superior” or “spiritual” mental states. There is, however, a key discipline missing: artificial intelligence. AI has forgotten its original aims to create intelligent machines that could help us to understand better what intelligence is and is more worried about pragmatical stuff, so almost nobody in the field seems to be interested to join this new effort of contemplative science. In this paper, I would like to accomplish the following: (1) To give a brief description of the field of “contemplative sciences;” (2) To argue why AI should actively join this new paradigm on the study of the mind; and (3) To set up a research program on artificial wisdom: that is to design computational systems that can model at least some relevant aspects of human wisdom.
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References
Ardelt M (2004) Wisdom as expert knowledge system: a critical review of a contemporary operationalization of an ancient concept. Human Dev 47:257–285
Baltes PB (1993) The aging mind: potential and limits. Gerontologist 33:580–594
Baltes PB (1999) Wisdom: the orchestration of mind and virtue. Book manuscript. Max Planck Institute for Human Development, Berlin
Baltes PB, Staudinger UM (2000) Wisdom: a metaheuristic (pragmatic) to orchestrate mind and virtue toward excellence. Am Psychol 55(1):122–136
Baltes PB, Staudinger UM, Maercker A, Smith J (1995) People nominated as wise: a comparative study of wisdom-related knowledge. Psychol Aging 10:155–166
Brooks RA (1991) Intelligence without representation. Artif Intell 47:139–159
Brooks RA (1999) Cambrian intelligence: the early history of the new AI. MIT Press, Cambridge, MA
Clark A (1989) Microcognition: philosophy, cognitive science, and parallel distributed processing. MIT Press, Cambridge, MA
Clark A (1993) Associative engines. MIT Press, Cambridge, MA
Clayton VP, Birren JE (1980) The development of wisdom across the life-span: a reexamination of an ancient topic. In: Baltes, PB, Brim OG Jr (eds) Life-span development and behavior, Vol 3. Academic Press, New York, pp 103–135
Di Paolo EA (2003) Organismically-inspired robotics: homeostatic adaptation and natural teleology beyond the closed sensorimotor loop. In: Murase K, Asakura T (eds) Dynamical systems approach to embodiment and sociality. Advanced Knowledge International, Adelaide, pp 19–42
Di Paolo EA (2005) Autopoiesis, adaptivity, teleology, agency. Phenomenol Cogn Sci 4:97–125
Dreyfus HL (1972) What computers can’t do: a critique of artificial reason. Harper and Row, New York
Dreyfus HL (1994) What computers still can’t do. MIT Press, Cambridge, MA
Dreyfus HL (2007) Why Heideggerian AI failed and how fixing it would require making it more Heideggerian. Philos Psychol 20(2):247–268
Ekman P (2008) Emotional awareness, a conversation between the Dalai Lama and Paul Ekman. Times Books, London
Froese T, Ziemke T (2009) Enactive artificial intelligence: investigating the systemic organization of life and mind. Artif Intell 173:466–500
Hall S (2010) Wisdom: from philosophy to neuroscience. Knopf, New York
Hayward JW, Varela F (1992) Gentle bridges: conversations with the Dalai Lama on the sciences of mind. Shambala Sun, China
Hofstadter DR (1979) Gödel, Escher, Bach: an eternal golden braid. Basic Books, New York
Levy S (2011) In the plex. Basic Books, New York
McCarthy J (1979) Ascribing mental qualities to machines. In: Ringle M (ed) Philosophical perspectives in artificial intelligence. Harvester Press, USA
Pinker S (1997) How the mind works. W. W. Norton, New York
Simon HA (1997) Artificial intelligence: an empirical science. Artif Intell 77:95–127
Sloman A (1971) Interactions between philosophy and AI. Artif Intell 2:209–225
Strijbos S (1995) How can systems thinking help us in bridging the gap between science and wisdom? Syst Pract 8:361–376
Surowiecki J (2004) The wisdom of crowds. Random House, New York
Thompson E (2007) Mind in life. Harvard University Press, Cambridge, MA
Turing A (1950) Computing machinery and intelligence. Mind 59:433–460
van Gelder TJ (1990) Compositionality: a connectionist variation on a classical theme. Cogn Sci 14:355–384
van Gelder TJ (1997) The dynamical hypothesis in cognitive science. Behav Brain Sci 21:1–28
Varela FJ (1996) Neurophenomenology: a methodological remedy for the hard problem. J Consc Stud 3:330–350
Varela FJ (1997) Patterns of life: intertwining identity and cognition. Brain Cogn 34:72–87
Varela FJ, Thompson E, Lutz A, Rosch E (1991) The embodied mind: cognitive science and human experience. MIT Press, Cambridge, MA
Wittgenstein L (1999) Philosophical investigations. Prentice Hall, NJ
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Casacuberta Sevilla, D. The quest for artificial wisdom. AI & Soc 28, 199–207 (2013). https://doi.org/10.1007/s00146-012-0390-6
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DOI: https://doi.org/10.1007/s00146-012-0390-6