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Live and Learn, Ask and Tell: Agents over Tasks

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Increasing Naturalness and Flexibility in Spoken Dialogue Interaction

Abstract

Steven Spielberg’s “A.I.” tells the story of two artificial agents: David and Teddy. While David resembles a human child, his companion Teddy is much simpler. Its behavior, however, still suggests a crucial mix of capabilities that stretch the state of the art in AI today. We argue that, unlike most contemporary AI, Teddy qualifies as a bona fide agent, and that implementing such a system would represent a valuable advance in our understanding of agency. We then describe a project to integrate our existing work to create a simple agent with Teddy-like capabilities.

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References

  1. Allen JF, Miller BW, Ringger EK, Sikorski T (1996) A robust system for natural spoken dialogue. In: Proceedings of the 34th annual meeting on association for computational linguistics, pp 62–70. Association for Computational Linguistics

    Google Scholar 

  2. Anderson ML, Perlis DR (2005) Logic, self-awareness and self-improvement: the metacognitive loop and the problem of brittleness. J Logic Comput 15(1):21–40

    Google Scholar 

  3. Anderson ML, Gomaa W, Grant J, Perlis D (2008) Active logic semantics for a single agent in a static world. Artif Intell 172(8–9):1045–1063

    Article  MathSciNet  Google Scholar 

  4. Anderson ML, Oates T, Chong W, Perlis DR (2006) The metacognitive loop I: enhancing reinforcement learning with metacognitive monitoring and control for improved perturbation tolerance. J Exper Theor Artif Intell 18(3):387–411

    Google Scholar 

  5. Bhargava P, Cox M, Oates T, Oh U, Paisner M, Perlis D, Shamwell J (2012) The robot baby and massive metacognition: future vision. In: Proceedings of the 2012 IEEE international conference on development and learning and epigenetic robotics, pp 1–2

    Google Scholar 

  6. Bringsjord S, Licato J, Govindarajulu NS, Ghosh R, Sen A (2015) Real robots that pass human tests of self-consciousness. In: 2015 24th IEEE international symposium on robot and human interactive communication (RO-MAN), pp 498–504. IEEE

    Google Scholar 

  7. Brody J, Perlis D, Shamwell J (2015) Who’s talking–efference copy and a Robot’s sense of agency. In: 2015 AAAI Fall symposium series

    Google Scholar 

  8. Flavell JH, Green FL, Flavell ER, Watson MW, Campione JC (1986) Development of knowledge about the appearance-reality distinction. Monograph Soc Res Child Develop 51(1):i–87

    Article  Google Scholar 

  9. Goldberg MD, Brody J, Clausner TC, Perlis D (2018) The overlooked role of self-agency in artificial systems. In: Workshop on shortcomings in vision and language at european conference on computer vision

    Google Scholar 

  10. Josyula DP, Fults S, Anderson ML, Wilson S, Perlis D (2007) Application of MCL in a dialog agent. In: Third language and technology conference

    Google Scholar 

  11. Miller M (1993) A view of one’s past and other aspects of reasoned change in belief. University of Maryland at College Park

    Google Scholar 

  12. Perlis D, Brody J, Kraus S, Miller M (2017) The internal reasoning of robots. In: Proceedings of the thirteenth international symposium on commonsense reasoning

    Google Scholar 

  13. Purang K, Perlis D, Gurney J (1996) Active logic applied to cancellation of gricean implicature. In: AAAI 96 Spring symposium on computational implicature

    Google Scholar 

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Correspondence to David Sekora .

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Perlis, D. et al. (2021). Live and Learn, Ask and Tell: Agents over Tasks. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_31

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  • DOI: https://doi.org/10.1007/978-981-15-9323-9_31

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  • Print ISBN: 978-981-15-9322-2

  • Online ISBN: 978-981-15-9323-9

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