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The Social Embedding of Intelligence

Towards Producing a Machine that Could Pass the Turing Test

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Abstract

I claim that to pass the Turing Test over any period of extended time, it will be necessary to embed the entity into society. This chapter discusses why this is, and how it might be brought about. I start by arguing that intelligence is better characterized by tests of social interaction, especially in open-ended and extended situations. I then argue that learning is an essential component of intelligence and hence that a universal intelligence is impossible. These two arguments support the relevance of the Turing Test as a particular, but appropriate test of interactive intelligence. I look to the human case to argue that individual intelligence uses society to a considerable extent for its development. Taking a lead from the human case, I outline how a socially embedded Artificial Intelligence might be brought about in terms of four aspects: free will, emotion, empathy, and self-modeling. In each case, I try to specify what social ‘hooks’ might be required for the full ability to develop during a considerable period of in situ acculturation. The chapter ends by speculating what it might be like to live with the result.

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References

  • Aydede, M., 1999, Language of thought hypothesis: state of the art, in: Stanford Encyclopedia ofPhilosophy; http://plato.stanford.edu/entries/language-thought/.

  • Aydede, M. and Güzeldere, G., 2002, Consciousness, intentionality, and intelligence: some foundational issues for artificial intelligence; http://web.clas.ufl.edu/users/maydede/introspection.htm.

  • Baron-Cohen, S., Leslie, A.M., et al., 1985, Does the autistic child have a ‘theory of mind’? Cognition21: 37–46.

    Article  Google Scholar 

  • Baum, E., 1998, Manifesto for an Evolutionary Economics of Intelligence, in: B., NeuralNetworks and Machine Learning, Springer, pp. 285–344.

    Google Scholar 

  • Bridgeman, B., 1992, On the evolution of consciousness and language, Pscoloquy3; http://www.cogsci.soton.ac.uk/cgi/psyc/newpsy?3.15.

  • Brooks, R. A., 1991, Intelligence without representation, Artificial Intelligence47(1–3): 139–159.

    Article  Google Scholar 

  • Burns, T. R. and Engdahl, E., 1998, The social construction of consciousness part 2: individual selves, self-awareness, and reflectivity, Journal of Consciousness Studies2: 166–184.

    Google Scholar 

  • Byrne, R. W. and Whiten, A., 1988, Machiavellian Intelligence: Social Expertise and theEvolution of Intellect in Monkeys, Apes and Humans, Clarendon Press, Oxford University Press, Oxford.

    Google Scholar 

  • Byrne, R. W. and Whiten, A., 1997, Machiavellian Intelligence II: Extensions and Evaluations, Cambridge University Press, Cambridge.

    Google Scholar 

  • Dautenhahn, K., 1997, I could be you: the phenomenological dimension of social understanding, Cybernetics and Systems28: 417–453.

    Article  Google Scholar 

  • Dennett, D. C., 1984, Elbow Room: The Varieties of Free Will Worth Wanting, Oxford University Press, Oxford.

    Google Scholar 

  • Dennett, D. C., 1989, The origin of selves, Cogito3(163–173).

    Article  Google Scholar 

  • Drescher, G. L., 1991, Made-up Minds – A Constructivist Approach to Artificial Intelligence, MIT Press, Cambridge, MA.

    MATH  Google Scholar 

  • Edmonds, B., 1999a, Capturing social embeddedness: a constructivist approach, AdaptiveBehavior7(3–4): 323–347.

    Article  Google Scholar 

  • Edmonds, B., 1999b, Gossip, sexual recombination and the el farol bar: modelling the emergence of heterogeneity, Journal of Artificial Societies and Social Simulation2(3).

    Google Scholar 

  • Edmonds, B., 2000, The constructability of artificial intelligence (as defined by the Turing Test), Journal of Logic Language and Information9: 419–424.

    Article  MATH  Google Scholar 

  • Edmonds, B., 2001 Meta-genetic programming: co-evolving the operators of variation, Elektrik9(1): 13–29.

    Google Scholar 

  • Ernst, G. and Newell, A., 1969, GPS: A Case Study in Generality and Problem Solving, Academic Press, New York.

    MATH  Google Scholar 

  • French, R. M., 1990, Subcognition and the limits of the Turing test, Mind99: 53–65.

    Article  MathSciNet  Google Scholar 

  • Goldberg, D. E., Deb, K., et al., 1989, Messy genetic algorithms: motivation, analysis, and first results, Complex Systems3: 493–530.

    MathSciNet  MATH  Google Scholar 

  • Gopnik, A., 1993, How we know our minds: the illusion of first-person knowledge of intentionality, Behavioural and Brain Sciences16: 1–14.

    Article  Google Scholar 

  • Hendriks-Jansen, H., 1997, The epistomology of autism: making a case for an embodied, dynamic, and historic explanation, Cybernetics and Systems28: 359–416.

    Article  Google Scholar 

  • Hoffman, J., 1993, Vorhersage und Erkenntnis [Anticipation and Cognition], Hogrefe, Goettingen, Germany.

    Google Scholar 

  • Hofstadter, D. R., 1985, Analogies and roles in human and machine thinking, in: MetamagicalThemas: Questing for the Essence of Mind and Pattern, Penguin, London.

    Google Scholar 

  • Holland, J. H., 1992, Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, MA.

    Book  Google Scholar 

  • Jannink, J., 1994, Cracking and co-evolving randomlist, in: Advances in Genetic Programming, K. E. Kinnear, ed., MIT Press, Cambridge, MA.

    Google Scholar 

  • Koza, J. R., 1992, Genetic Programming: On the Programming of Computers by Means of NaturalSelection, MIT Press, Cambridge, MA.

    MATH  Google Scholar 

  • Koza, J. R., 1994, Genetic Programming II: Automatic Discovery of Reusable Subprograms, MIT Press, Cambridge, MA.

    MATH  Google Scholar 

  • Kummer, H., Daston, L., Gigerenzer, G., and Silk, J., 1997, The social intelligence hypothesis, in: Human by Nature: Between Biology and the Social Sciences, Weingart et al., eds., Lawrence Erlbaum, Hillsdale, NJ, pp. 157–179.

    Google Scholar 

  • Minsky, M., 2002, The emotion machine; http://web.media.mit.edu/˜minsky/

  • Perlis, D., 1997, Consciousness as self-function, Journal of Consciousness Studies4: 509–525.

    Google Scholar 

  • Rolls, E. T., 2000, Precis of the brain and emotion, Behavioural and Brain Sciences23(2): 177–191.

    Article  Google Scholar 

  • Sloman, A., 2002, How many separately evolved emotional beasties live within us?, in: P. S.Emotions in Humans and Artifacts, MIT Press, Cambridge, MA.

    Google Scholar 

  • Stolzmann, W., 1998, Anticipatory Classifier Systems, Genetic Programming, University of Wisconsin, Morgan Kaufmann, Madison, WI, pp. 658–664.

    Google Scholar 

  • Tolman, E. C., 1932, Purposive Behavior in Animals and Men, Appleton, New York.

    Google Scholar 

  • Weizenbaum, J., 1976, Computer Power and Human Reason: From Judgement to Calculation, W. H. Freeman, San Francisco, CA

    Google Scholar 

  • Wolpert, D. H. and Macready, W. G., 1995, No free lunch theorems for search, Santa Fe Institute Technical Report SFI-TR-95–02–010.

    Google Scholar 

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Authors and Affiliations

  1. Centre for Policy Modelling, Manchester Metropolitan University, Manchester, USA

    Bruce Edmonds

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  1. Bruce Edmonds
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Editor information

Editors and Affiliations

  1. University of California, San Diego, CA, USA

    Robert Epstein

  2. Teradata Corporation, San Diego, CA, USA

    Gary Roberts

  3. Gartner Consulting, Stamford, CT, USA

    Grace Beber

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Edmonds, B. (2009). The Social Embedding of Intelligence. In: Epstein, R., Roberts, G., Beber, G. (eds) Parsing the Turing Test. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6710-5_14

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  • DOI: https://doi.org/10.1007/978-1-4020-6710-5_14

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-9624-2

  • Online ISBN: 978-1-4020-6710-5

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