David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jack Alan Reynolds
Learn more about PhilPapers
AI and Society 28 (2):199-207 (2013)
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
|Keywords||Wisdom Cognitive sciences Artificial wisdom Contemplative sciences Alternate states of consciousness Meditation Buddhism|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
Evan Thompson (2007). Mind in Life: Biology, Phenomenology, and the Sciences of Mind. Harvard University Press.
Francisco Varela, Evan Thompson & Eleanor Rosch (1991). The Embodied Mind: Cognitive Science and Human Experience. MIT Press.
Rodney Brooks (1991). Intelligence Without Representation. Artificial Intelligence 47:139-159.
Citations of this work BETA
No citations found.
Similar books and articles
Andrew beedle (1998). Sixteen Years of Artificial Intelligence: Mind Design and Mind Design II. Philosophical Psychology 11 (2):243 – 250.
Gerard Casey (1988). Artificial Intelligence and Wittgenstein. Philosophical Studies 32:156-175.
Richard Susskind (1993). The Importance of Commercial Case Studies in Artificial Intelligence and Law. Artificial Intelligence and Law 2 (1):65-67.
Murat Aydede & Guven Guzeldere (2000). Consciousness, Intentionality, and Intelligence: Some Foundational Issues for Artificial Intelligence. Journal of Experimental and Theoretical Artificial Intelligence 12 (3):263-277.
Brian L. Keeley (1998). Artificial Life for Philosophers. Philosophical Psychology 11 (2):251 – 260.
Mariusz Flasiński (1997). "Every Man in His Notions" or Alchemists' Discussion on Artificial Intelligence. Foundations of Science 2 (1):107-121.
Vincenzo Tagliasco (2007). Artificial Consciousness: A Technological Discipline. In Antonio Chella & Riccardo Manzotti (eds.), Artificial Consciousness. Imprint Academic 12-23.
David J. Buller (1993). Confirmation and the Computational Paradigm, or, Why Do You Think They Call It Artificial Intelligence? [REVIEW] Minds and Machines 3 (2):155-81.
Setargew Kenaw (2008). Hubert L. Dreyfus's Critique of Classical AI and its Rationalist Assumptions. Minds and Machines 18 (2):227-238.
Salvatore Gaglio (2007). Intelligent Artificial Systems. In Antonio Chella & Riccardo Manzotti (eds.), Artificial Consciousness. Imprint Academic 97-115.
Peter Kugel (2002). Computing Machines Can't Be Intelligent (...And Turing Said So). Minds and Machines 12 (4):563-579.
Margaret A. Boden (1989). Artificial Intelligence In Psychology: Interdisciplinary Essays. Cambridge: MIT Press.
Paul Thagard (1982). Artificial Intelligence, Psychology, and the Philosophy of Discovery. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:166 - 175.
Added to index2012-02-11
Total downloads23 ( #166,582 of 1,907,776 )
Recent downloads (6 months)2 ( #339,337 of 1,907,776 )
How can I increase my downloads?