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Interacting with IDA

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Agent Autonomy

Abstract

This chapter describes IDA, an autonomous and “conscious” software agent, and how she interacts with humans. IDA’S purpose is to converse with sailors in the U.S. Navy using natural language in order to arrive at a job placement situation that is beneficial for the sailor and the Navy. Along the way we will explore the general notion of autonomy and what role IDA’S “consciousness” plays in extending that concept.

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Reference

  • Allen, J. J. 1995. Natural Language Understanding. Redwood City CA: Benjamin/Cummings Benjamin Cummings.

    Google Scholar 

  • Baars, B.J. 1988. A Cognitive Theory of Consciousness. Cambridge: Cambridge University Press.

    Google Scholar 

  • Baars, B. J. 1997. In the Theater of Consciousness. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Barsalou, L. W. 1999. Perceptual symbol systems. Behavioral and Brain Sciences 22:577–609.

    Google Scholar 

  • Bogner, M. 1999. Realizing “consciousness” in software agents. Ph.D. Dissertation. University of Memphis.

    Google Scholar 

  • Bogner, M, U. Ramamurthy, and S. Franklin. 2000. Consciousness” and Conceptual Learning in a Socially Situated Agent. In Human Cognition and Social Agent Technology, ed. K. Dautenhahn. Amsterdam: John Benjamins.

    Google Scholar 

  • Castelfranchi C. Guarantees for Autonomy in Cognitive Agent Architecture. Intelligent Agents: ECAI-94 Workshop on Agents Theories, Architectures, and Languages, M. J. Wooldridge and N.R. Jennings, Eds. Berlin: Springer-Verlag. 56–70, 1995.

    Google Scholar 

  • Chalmers, D. J. 1996. The Conscious Mind. Oxford: Oxford University Press.

    MATH  Google Scholar 

  • Edelman, G. M. 1987. Neural Darwinism. New York: Basic Books.

    Google Scholar 

  • Franklin, S. 1995. Artificial Minds. Cambridge MA: MIT Press.

    Google Scholar 

  • Franklin, S. 1997. Autonomous Agents as Embodied AI. Cybernetics and Systems 28:499–520.

    Article  Google Scholar 

  • Franklin, S. 2000. Deliberation and Voluntary Action in ‘Conscious’; Software Agents. Neural Network World 10:505–521.

    Google Scholar 

  • Franklin, S. 2001. Conscious Software: A Computational View of Mind. In Soft Computing Agents: New Trends for Designing Autonomous Systems, ed. V. Loia, and S. Sessa. Berlin: Springer (Physica-Verlag).

    Google Scholar 

  • Franklin, S., and A. C. Graesser. 1997. Is it an Agent, or just a Program?: A Taxonomy for Autonomous Agents. In Intelligent Agents III. Berlin: Springer Verlag.

    Google Scholar 

  • Franklin, S., A. Kelemen, and L. McCauley. 1998. IDA: A Cognitive Agent Architecture. In IEEE Confon Systems, Man and Cybernetics.: IEEE Press.

    Google Scholar 

  • Hofstadter, D.R., and M. Mitchell. 1994. The Copycat Project: A model of mental fluidity and analogy-making. In Advances in connectionist and neural computation theory, Vol. 2: logical connections, ed. K. J. Holyoak, and J. A. Barnden. Norwood N.J.: Ablex.

    Google Scholar 

  • Jackson, J.V. 1987. Idea for a Mind. Siggart Newsletter, 181:23–26.

    Article  Google Scholar 

  • James, W. 1890. The Principles of Psychology. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Kanerva, P. 1988. Sparse Distributed Memory. Cambridge MA: The MIT Press.

    MATH  Google Scholar 

  • Kelemen, A., Y. Liang and S. Franklin (submitted), A Comparative Study of Different Machine Learning Approaches for Decision Making

    Google Scholar 

  • Kondadadi, R., and S. Franklin. 2001. A Framework of Deliberative Decision Making in “Conscious” software Agents. In Proceedings Of Sixth International Symposium on Artificial Life and Robotics (AROB-01).:.

    Google Scholar 

  • Maes, P. 1989. How to do the right thing. Connection Science 1:291–323.

    Article  MathSciNet  Google Scholar 

  • Maturana, R. H., and F. J. Varela. 1980. Autopoiesis and Cognition: The Realization of the Living, Dordrecht. Netherlands: Reidel.

    Google Scholar 

  • Maturana, H.R. 1975. The Organization of the Living: A Theory of the Living Organization. International Journal of Man-Machine Studies 7:313–332.

    Article  Google Scholar 

  • Minsky, M. 1985. The Society of Mind. New York: Simon and Schuster.

    Google Scholar 

  • Mitchell, M. 1993. Analogy-Making as Perception. Cambridge MA: The MIT Press.

    Google Scholar 

  • Negatu, A., and S. Franklin 1999 Behavioral learning for adaptive software agents Intelligent Systems: ISCA 5th International Conference International Society for Computers and Their Applications-ISCA Denver, Colorado June 1999.

    Google Scholar 

  • Ornstein, R. 1986. Multimind. Boston: Houghton Mifflin.

    Google Scholar 

  • Ramamurthy, U., S. Franklin, and A. Negatu. 1998. Learning Concepts in Software Agents. In From animals to animals 5: Proceedings of The Fifth International Conference on Simulation of Adaptive Behavior, ed. R. Pfeifer, B. Blumberg, J.-A. Meyer, and S. W. Wilson. Cambridge.Mass: MIT Press.

    Google Scholar 

  • Sloman, A. 1987. Motives Mechanisms Emotions. Cognition and Emotion 1:217–234.

    Article  Google Scholar 

  • Sloman, A. 1999. What Sort of Architecture is Required for a Human-like Agent? In Foundations of Rational Agency, ed. M. Wooldridge, and A. Rao. Dordrecht, Netherlands: Kluwer Academic Publishers.

    Google Scholar 

  • Zhang, Z., D. Dasgupta, and S. Franklin. 1998a. Metacognition in Software Agents using Classifier Systems. In Proceedings of the Fifteenth National Conference on Artificial Intelligence. Madison, Wisconsin: MIT Press.

    Google Scholar 

  • Zhang, Z., S. Franklin, B. Olde, Y. Wan, and A. Graesser. 1998b. Natural Language Sensing for Autonomous Agents. In Proceedings of IEEE International Joint Symposia on Intellgence Systems 98.

    Google Scholar 

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Franklin, S., Mccauley, L. (2003). Interacting with IDA. In: Hexmoor, H., Castelfranchi, C., Falcone, R. (eds) Agent Autonomy. Multiagent Systems, Artificial Societies, and Simulated Organizations, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-9198-0_8

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  • DOI: https://doi.org/10.1007/978-1-4419-9198-0_8

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4833-7

  • Online ISBN: 978-1-4419-9198-0

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