Skip to main content
SpringerLink
Log in

The Space of Possible Mind Designs

  • Conference paper
  • First Online:
Book cover Artificial General Intelligence (AGI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9205))

Included in the following conference series:

Abstract

The paper attempts to describe the space of possible mind designs by first equating all minds to software. Next it proves some properties of the mind design space such as infinitude of minds, size and representation complexity of minds. A survey of mind design taxonomies is followed by a proposal for a new field of investigation devoted to study of minds, intellectology.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sloman, A.: The Structure and Space of Possible Minds. The Mind and the Machine: philosophical aspects of Artificial Intelligence. Ellis Horwood LTD (1984)

    Google Scholar 

  2. Legg, S., Hutter, M.: Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17(4), 391–444 (2007)

    Article  Google Scholar 

  3. Hanson, R.: If Uploads Come First. Extropy 6(2) (1994)

    Google Scholar 

  4. Bostrom, N.: Quantity of experience: brain-duplication and degrees of consciousness. Minds and Machines 16(2), 185–200 (2006)

    Article  Google Scholar 

  5. Yampolskiy, R., Gavrilova, M.: Artimetrics: Biometrics for Artificial Entities. IEEE Robotics and Automation Magazine (RAM) 19(4), 48–58 (2012)

    Article  Google Scholar 

  6. Yampolskiy, R.V., Klare, B., Jain, A.K.: Face recognition in the virtual world: Recognizing Avatar faces. In: 11th International Conference on Machine Learning and Applications (2012)

    Google Scholar 

  7. Yampolskiy, R.V.: Leakproofing Singularity - Artificial Intelligence Confinement Problem. Journal of Consciousness Studies (JCS) 19(1–2), 194–214 (2012)

    Google Scholar 

  8. Wikipedia, Universal Turing Machine. http://en.wikipedia.org/wiki/Universal_Turing_machine (retrieved April 14, 2011)

  9. Lloyd, S.: Ultimate Physical Limits to Computation. Nature 406, 1047–1054 (2000)

    Article  Google Scholar 

  10. Levin, L.: Universal Search Problems. Problems of Information Transm. 9(3), 265–266 (1973)

    Google Scholar 

  11. Rice, H.G.: Classes of recursively enumerable sets and their decision problems. Transactions of the American Mathematical Society 74(2), 358–366 (1953)

    Article  MathSciNet  Google Scholar 

  12. Yampolskiy, R.V.: Efficiency Theory: a Unifying Theory for Information, Computation and Intelligence. Journal of Discrete Mathematical Sciences & Cryptography 16(4–5), 259–277 (2013)

    Article  Google Scholar 

  13. Kolmogorov, A.N.: Three Approaches to the Quantitative Definition of Information. Problems Inform. Transmission 1(1), 1–7 (1965)

    MathSciNet  Google Scholar 

  14. De Simone, A., et al.: Boltzmann brains and the scale-factor cutoff measure of the multiverse. Physical Review D 82(6), 063520 (2010)

    Article  MathSciNet  Google Scholar 

  15. Kelly, K.: A Taxonomy of Minds (2007). http://kk.org/thetechnium/archives/2007/02/a_taxonomy_of_m.php

  16. Krioukov, D., et al.: Network Cosmology. Sci. Rep. (February 2012)

    Google Scholar 

  17. Bostrom, N.: Are You Living In a Computer Simulation? Philosophical Quarterly 53(211), 243–255 (2003)

    Article  Google Scholar 

  18. Lanza, R.: A new theory of the universe. American Scholar 76(2), 18 (2007)

    Google Scholar 

  19. Miller, M.S.P.: Patterns for Cognitive Systems. In: 2012 Sixth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS) (2012)

    Google Scholar 

  20. Cattell, R., Parker, A.: Challenges for Brain Emulation: Why is it so Difficult? Natural Intelligence 1(3), 17–31 (2012)

    Google Scholar 

  21. de Garis, H., et al.: A world survey of artificial brain projects, Part I: Large-scale brain simulations. Neurocomputing 74(1–3), 3–29 (2010)

    Article  Google Scholar 

  22. Goertzel, B., et al.: A world survey of artificial brain projects, Part II: Biologically inspired cognitive architectures. Neurocomput. 74(1–3), 30–49 (2010)

    Article  Google Scholar 

  23. Vernon, D., Metta, G., Sandini, G.: A Survey of Artificial Cognitive Systems: Implications for the Autonomous Development of Mental Capabilities in Computational Agents. IEEE Transactions on Evolutionary Computation 11(2), 151–180 (2007)

    Article  Google Scholar 

  24. Yampolskiy, R.V., Fox, J.: Artificial General Intelligence and the Human Mental Model. In: Singularity Hypotheses, pp. 129–145. Springer, Heidelberg (2012)

    Google Scholar 

  25. Yampolskiy, R.V., Ashby, L., Hassan, L.: Wisdom of Artificial Crowds—A Metaheuristic Algorithm for Optimization. Journal of Intelligent Learning Systems and Applications 4(2), 98–107 (2012)

    Article  Google Scholar 

  26. Ashby, L.H., Yampolskiy, R.V.: Genetic algorithm and Wisdom of Artificial Crowds algorithm applied to Light up. In: 2011 16th International Conference on Computer Games (CGAMES) (2011)

    Google Scholar 

  27. Hughes, R., Yampolskiy, R.V.: Solving Sudoku Puzzles with Wisdom of Artificial Crowds. International Journal of Intelligent Games & Simulation 7(1), 6 (2013)

    Google Scholar 

  28. Port, A.C., Yampolskiy, R.V.: Using a GA and Wisdom of Artificial Crowds to solve solitaire battleship puzzles. In: 2012 17th International Conference on Computer Games (CGAMES) (2012)

    Google Scholar 

  29. Hall, J.S.: Self-Improving AI: An Analysis. Minds and Machines 17(3), 249–259 (2007)

    Article  Google Scholar 

  30. Yonck, R.: Toward a Standard Metric of Machine Intelligence. World Future Review 4(2), 61–70 (2012)

    Article  Google Scholar 

  31. Herzing, D.L.: Profiling nonhuman intelligence: An exercise in developing unbiased tools for describing other “types” of intelligence on earth. Acta Astronautica 94(2), 676–680 (2014)

    Article  Google Scholar 

  32. Yampolskiy, R.V.: Construction of an NP Problem with an Exponential Lower Bound. Arxiv preprint arXiv:1111.0305 (2011)

    Google Scholar 

  33. Yampolskiy, R.V.: Turing Test as a Defining Feature of AI-Completeness. In: Yang, X.-S. (ed.) Artificial Intelligence, Evolutionary Computing and Metaheuristics. SCI, vol. 427, pp. 3–17. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  34. Yampolskiy, R.V.: AI-Complete, AI-Hard, or AI-Easy–Classification of Problems in AI. In: The 23rd Midwest Artificial Intelligence and Cognitive Science Conference, Cincinnati, OH, USA (2012)

    Google Scholar 

  35. Yampolskiy, R.V.: AI-Complete CAPTCHAs as Zero Knowledge Proofs of Access to an Artificially Intelligent System. ISRN Artificial Intelligence, 271878 (2011)

    Google Scholar 

  36. Hales, C.: An empirical framework for objective testing for P-consciousness in an artificial agent. Open Artificial Intelligence Journal 3, 1–15 (2009)

    Article  Google Scholar 

  37. Aleksander, I., Dunmall, B.: Axioms and Tests for the Presence of Minimal Consciousness in Agents I: Preamble. Journal of Consciousness Studies 10(4–5), 4–5 (2003)

    Google Scholar 

  38. Arrabales, R., Ledezma, A., Sanchis, A.: ConsScale: a plausible test for machine consciousness? (2008)

    Google Scholar 

  39. Aaronson, S.: The Ghost in the Quantum Turing Machine. arXiv preprint arXiv:1306.0159 (2013)

    Google Scholar 

  40. Yampolskiy, R.V.: Artificial intelligence safety engineering: Why machine ethics is a wrong approach. In: Philosophy and Theory of Artificial Intelligence, pp. 389–396. Springer, Berlin (2013)

    Google Scholar 

  41. Yampolskiy, R.V.: What to Do with the Singularity Paradox? In: Philosophy and Theory of Artificial Intelligence, pp. 397–413. Springer, Heidelberg (2013)

    Google Scholar 

  42. Chalmers, D.J.: The conscious mind: In search of a fundamental theory. Oxford Univ. Press (1996)

    Google Scholar 

  43. Gao, S.: A quantum method to test the existence of consciousness. The Noetic Journal 3(3), 27–31 (2002)

    Google Scholar 

  44. Legg, S.: Is There an Elegant Universal Theory of Prediction? In: Balcázar, J.L., Long, P.M., Stephan, F. (eds.) ALT 2006. LNCS (LNAI), vol. 4264, pp. 274–287. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  45. Yudkowsky, E.: Artificial Intelligence as a Positive and Negative Factor in Global Risk. In: Bostrom, N., Cirkovic, M.M. (eds.) Global Catastrophic Risks, pp. 308–345. Oxford University Press, Oxford (2008)

    Google Scholar 

  46. Havel, I.M.: On the Way to Intelligence Singularity. In: Kelemen, J., Romportl, J., Zackova, E. (eds.) Beyond Artificial Intelligence. TIEI, vol. 4, pp. 3–26. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  47. Geortzel, B.: The Hidden Pattern: A Patternist Philosophy of Mind. ch. 2. Kinds of Minds. Brown Walker Press (2006)

    Google Scholar 

  48. Goertzel, B.: Mindplexes: The Potential Emergence of Multiple Levels of Focused Consciousness in Communities of AI’s and Humans Dynamical Psychology (2003). http://www.goertzel.org/dynapsyc/2003/mindplex.htm.

  49. Hall, J.S.: Chapter 15: Kinds of Minds, in Beyond AI: Creating the Conscience of the Machine. Prometheus Books, Amherst (2007)

    Google Scholar 

  50. Roberts, P.: Mind Making: The Shared Laws of Natural and Artificial. CreateSpace (2009)

    Google Scholar 

  51. Kelly, K.: Inevitable Minds (2009). http://kk.org/thetechnium/archives/2009/04/inevitable_mind.php

  52. Kelly, K.: The Landscape of Possible Intelligences (2008). http://kk.org/thetechnium/archives/2008/09/the_landscape_o.php

  53. Kelly, K.: What Comes After Minds? (2008). http://kk.org/thetechnium/archives/2008/12/what_comes_afte.php

  54. Kelly, K.: The Evolutionary Mind of God (2007). http://kk.org/thetechnium/archives/2007/02/the_evolutionar.php

  55. Galilei, G.: Dialogue concerning the two chief world systems: Ptolemaic and Copernican. University of California Pr. (1953)

    Google Scholar 

  56. Watson, J.D., Crick, F.H.: Molecular structure of nucleic acids. Nature 171(4356), 737–738 (1953)

    Article  Google Scholar 

  57. Wolfram, S.: A New Kind of Science. Wolfram Media, Inc. (May 14, 2002)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Engineering and Computer Science Speed School of Engineering, University of Louisville, Louisville, USA

    Roman V. Yampolskiy

Authors
  1. Roman V. Yampolskiy
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Roman V. Yampolskiy .

Editor information

Editors and Affiliations

  1. Reykjavik University, Reykjavik, Iceland

    Jordi Bieger

  2. Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR

    Ben Goertzel

  3. Mechanics and Optics, Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexey Potapov

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Yampolskiy, R.V. (2015). The Space of Possible Mind Designs. In: Bieger, J., Goertzel, B., Potapov, A. (eds) Artificial General Intelligence. AGI 2015. Lecture Notes in Computer Science(), vol 9205. Springer, Cham. https://doi.org/10.1007/978-3-319-21365-1_23

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21365-1_23

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21364-4

  • Online ISBN: 978-3-319-21365-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation