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Artificial Consciousness

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Artificial Cognition Architectures

Abstract

To develop “Artificial Consciousness” for a SELF requires investigation and understanding of what it means to be conscious. The textbook definition of consciousness is:

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References

  1. Barto A, Sutton A, Brouwer P (1981) Associative search network: a reinforcement learning associative memory. Biol Cybern 40:201–211

    Article  MATH  Google Scholar 

  2. Botella L (1995) Personal construct theory, constructivism, and postmodern thought. In: Neimeyer RA, Neimeyer J (eds) Advanced in personal construct psychology, vol 3. Jai Press, Greenwich, pp 3–35

    Google Scholar 

  3. Crowder J (2001) ELYSE, The evolving, life-like yielding, symbiotic environment. NSA Technical Paper Technical Paper TIT_01_01_013_2001_002

    Google Scholar 

  4. Crowder J (2001) Integrating an expert system into a neural network with genetic programming for process planning. NSA Technical Paper TIT_01_01_013_2001_001

    Google Scholar 

  5. Crowder J (2003) Adaptive learning algorithms: pattern discovery in artificial intelligence. NSA Technical paper CON_0013_2002_004

    Google Scholar 

  6. Crowder J (2003) Intelligence fusion techniques applied to data integration. NSA Technical paper – CON-SP-0014-2003-07

    Google Scholar 

  7. Crowder J (2004) Multi-sensor fusion utilizing dynamic entropy and fuzzy systems. In: Proceedings of the processing systems technology conference, Tucson

    Google Scholar 

  8. Crowder J (2006) Intelligent information agents. In: Proceedings of the 5th annual system/software symposium, Denver

    Google Scholar 

  9. Crowder J (2006) Modern architectures for integrated system health management: intelligent agent architectures for sensor-to-prognostics information integration. In: Proceedings of the air force 3rd annual integrated health management systems conference, Cincinnati

    Google Scholar 

  10. Crowder J (2007) Integrating metrics with qualitative temporal reasoning for constraint-based expert systems. In: Proceedings of the 2007 processing systems technology network conference, El Segundo

    Google Scholar 

  11. Crowder J (2010) Flexible object architectures for hybrid neural processing systems. In: Proceedings of the 12th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  12. Crowder J (2010) The continuously recombinant genetic neural fiber network. In: Proceedings for the AIAA Infotech@Aerospace 2010 conference, Atlanta

    Google Scholar 

  13. Crowder J (2012) Artificial memory reconstruction. In: Proceedings of the 1st international conference on robotic intelligence and applications, Gwanju

    Google Scholar 

  14. Crowder J, Carbone J (2012) Cognitive perception utilizing operationally intelligent software agents (OISAs). In: Proceedings of the AIAA space 2012 conference and symposium, Pasadena

    Google Scholar 

  15. Crowder J, Carbone J (2011) The great migration: information to knowledge using cognition-based frameworks. Springer Science, New York

    Google Scholar 

  16. Crowder J, Carbone J (2011) Recombinant knowledge relativity threads for contextual knowledge storage. In: Proceedings of the 13th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  17. Crowder J, Friess S (2010) Artificial neural diagnostics and prognostics: self-soothing in cognitive systems. In: Proceedings of the 12th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  18. Crowder J, Friess S (2010) Artificial neural emotions and emotional memory. In: Proceedings of the 12th annual international conference on artificial intelligence, ICAI’10

    Google Scholar 

  19. Crowder J, Friess S (2011) The artificial prefrontal cortex: artificial consciousness. In: Proceedings of the 13th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  20. Crowder J, Friess S (2011) Metacognition and metamemory concepts for AI systems. In: Proceedings of the 13th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  21. Crowder J, Friess S (2011) Metacognition and metamemory concepts for AI systems. In: Proceedings of the international conference on artificial intelligence, ICAI’11

    Google Scholar 

  22. Crowder J, Friess S (2012) Warrior resilience training through cognitive self-regulation. In: Proceedings of the 13th annual international conference on artificial intelligence, Las Vegas

    Google Scholar 

  23. Crowder J, Barth T, Rouch R (1999) Evolutionary neural infrastructure with genetic memory algorithms: ENIGMA theory development. NSA Technical paper, Denver ENIGMA_1999_004

    Google Scholar 

  24. Crowder J, Barth T, Rouch R (1999) Learning algorithms for stochastically driven fuzzy, genetic neural networks. NSA Technical paper ENIGMA_1999_002

    Google Scholar 

  25. Damasio A (1994) Descarte’s error: emotion, reason, and the human brain. Gosset/Putnam, New York

    Google Scholar 

  26. Davis M, Whalen P (2001) The amygdala: vigilance and emotion. Mol Psychiatry 6:13–34

    Article  Google Scholar 

  27. Eichenbaum H (2002) The cognitive neuroscience of memory. Oxford University Press, New York

    Book  Google Scholar 

  28. Kasabov N (1998) Introduction: hybrid intelligent adaptive systems. Int J Intell Syst 8:453–454

    Article  Google Scholar 

  29. Korzybski A (1933) General semantics. Published in science and sanity: an introduction to non-Aristotelian systems and general semantics, Institute of General Semantics

    Google Scholar 

  30. Kosko G (2002) Fuzzy cognitive maps. Int J Man Mach Stud

    Google Scholar 

  31. Kvale S (1992) Psychology and postmodernism. Sage, Thousand Oaks

    Google Scholar 

  32. LaBar K, Cabeza R (2006) Cognitive neuroscience of emotional memory. Nat Rev Neurosci 7:54–64

    Article  Google Scholar 

  33. LeDoux J (1996) The emotional brain. Simon and Schuster, New York

    Google Scholar 

  34. LeDoux J (2000) Emotion circuits in the brain. Annu Rev Neurosci 23:155–184

    Article  Google Scholar 

  35. LeDoux J (2002) Synaptic self: how our brains become who we are. Viking, New York

    Google Scholar 

  36. Newell A, Shaw J, Simon H (1957) Preliminary description of general problem solving program-i (gps-i). WP7, Carnegie Institute of Technology, Pittsburgh

    Google Scholar 

  37. Raskin V, Taylor JM, Hemplemann CF (2010) Ausocial engineering. New Security Paradigms Workshop, Concord

    Google Scholar 

  38. Taylor JM, Raskin V (2010) Fuzzy ontology for natural language. In: Proceedings of the 29th international conference of the North American fuzzy information processing society, Toronto

    Google Scholar 

  39. Thompson A, Mooney R (1994) Inductive learning for abductive diagnosis. In: Proceedings of AAAI-94

    Google Scholar 

  40. Vaihinger H (1925) The philosophy of ‘As If’: a system of the theoretical, practical, and religious fictions of mankind. Kessinger Legacy Reprints, Kessinger Publishing, LLC

    Google Scholar 

  41. Stillings N (1995) Cognitive science: an introduction, 2nd edn. MIT Press, Cambridge

    Google Scholar 

  42. Watts R (2003) Therapy as a rational constructivist approach. Fam J Couns Ther Couples Fam 11(2):139–147

    MathSciNet  Google Scholar 

  43. Rotter J (1954) Social learning and clinical psychology. Prentice-Hall, New York

    Book  Google Scholar 

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Author information

Authors and Affiliations

  1. Englewood, CO, USA

    James A. Crowder

  2. Raytheon Intelligence and Information Systems, McKinney, TX, USA

    John N. Carbone

  3. Relevant Counseling LLC, Englewood, CO, USA

    Shelli A. Friess

Authors
  1. James A. Crowder
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  2. John N. Carbone
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  3. Shelli A. Friess
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Crowder, J.A., Carbone, J.N., Friess, S.A. (2014). Artificial Consciousness. In: Artificial Cognition Architectures. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8072-3_6

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  • DOI: https://doi.org/10.1007/978-1-4614-8072-3_6

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-8071-6

  • Online ISBN: 978-1-4614-8072-3

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