Cognitive automation-survey of novel artificial general intelligence methods for the automation of human technical environments

IEEE Transactions on Industrial Informatics

Volumn 8, Issue 2, 2012, Pages 206-215

  Bruckner, Dietmar ^a   Zeilinger, Heimo ^a   Dietrich, Dietmar ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

Ambient assisted living; artificial general intelligence; artificial recognition system; cognitive automation; context awareness; decision making; hierarchical information processing

Indexed keywords

AMBIENT ASSISTED LIVING; CONTEXT- AWARENESS; GENERAL INTELLIGENCE; HIERARCHICAL INFORMATION; RECOGNITION SYSTEMS;

COGNITIVE SYSTEMS; DATA PROCESSING; DECISION MAKING; INFORMATION TECHNOLOGY; SURVEYS;

AUTOMATION;

EID: 84859903076     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2011.2176741     Document Type: Review

References (96)

1. W. Clocksin, "Artificial intelligence and the future," Philosoph. Trans. Royal Soc., pp. 1721-1748, 2003. (Pubitemid 37256191)
2. S. Chalasani and R. Boppana, "Data architectures for RFID transactions," IEEE Trans. Ind. Informat., vol. 3, no. 3, pp. 246-257, Aug. 2007. (Pubitemid 47237099)
3. A. Ferrolho and M. Crisostomo, "Intelligent control and integration software for flexible manufacturing cells," IEEE Trans. Ind. Informat., vol. 3, no. 1, pp. 3-11, Feb. 2007. (Pubitemid 46384624)
4. M. Lin, L. Xu, L. Yang, X. Qin, N. Zheng, Z. Wu, and M. Qiu, "Static security optimization for real-time systems," IEEE Trans. Ind. Informat., vol. 5, no. 1, pp. 22-37, Feb. 2009.
5. M. Cheminod, I. Bertolotti, L. Durante, P. Maggi, D. Pozza, R. Sisto, and A.Valenzano, "Detecting chains of vulnerabilities in industrial networks," IEEE Trans. Ind. Informat., vol. 5, no. 2, pp. 181-193, May 2009.
6. M. Cheminod, A. Pironti, and R. Sisto, "Formal vulnerability analysis of a security system for remote fieldbus access," IEEE Trans. Ind. Informat., vol. 7, no. 1, pp. 30-40, Feb. 2011.
7. M. Fugger, E. Armengaud, and A. Steininger, "Safely stimulating the clock synchronization algorithm in time-triggered systems-A combined formal and experimental approach," IEEE Trans. Ind. Informat., vol. 5, no. 2, pp. 132-146, May 2009.
8. D. Dietrich, D. Bruckner, G. Zucker, and P. Palensky, "Communication and computation in buildings: A short introduction and overview," IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3577-3584, Nov. 2010.
9. G. Pratl, D. Dietrich, G. P. Hancke, and W. T. Penzhorn, "A new model for autonomous, networked control systems," IEEE Trans. Ind. Informat., vol. 3, no. 1, pp. 21-32, Feb. 2007. (Pubitemid 46384626)
10. A. Andrushevich, M. Staub, R. Kistler, and A. Klapproth, "Towards semantic buildings: Goal-driven approach for building automation service allocation and control," in Proc. IEEE Conf. Emerging Technol. Factory Autom. (ETFA'10 ), 2010, pp. 1-6.
11. W. Kastner, G. Neugschwandtner, S. Soucek, and H. M. Newman, "Communication systems for building automation and control," Proc. IEEE, vol. 93, no. 6, pp. 1178-1203, Jun. 2005. (Pubitemid 40928635)
12. H.-J. Koerber, H. Wattar, and G. Scholl, "Modular wireless real-time sensor/actuator network for factory automation applications," IEEE Trans. Ind. Informat., vol. 3, no. 2, pp. 111-119, May 2007.
13. Biomimetics-Materials, Structures and Processes, P. Gruber, D. Bruckner, C. Hellmich, H. Schmiedmayer, H. Stachelberger, and I. C. Gebeshuber, Eds. Berlin, Heidelberg, Germany: Springer, 2011.
14. The Logic of William of Ockham, E. A. Moody, Ed. New York: Russell & Russell, 1965.
15. D. Bruckner, R. Velik, and Y. Penya, "Machine perception in automation- A call to arms," EURASIP J. Embedded Systems, 2011, 2011:608423, doi:10.1155/2011/608423, open access.
16. W. Elmenreich, "A review on system architectures for sensor fusion applications," Int. Fed. Inform. Process., pp. 547-559, 2007.
17. A. N. Steinberg, C. L. Browman, and F. E. White, "Revisions to the JDL data fusion model," in Proc. IRIS Unclassified National Sensor and Data Fusion Conf., 1999, 18 pages.
18. Technology Foresight on Data Fusion and Data Processing, M. Markin, C. HArris, M. Bernhardt, J. Austin, M. Bedworth, P. Greenway, R. Johnston, A. Little, and D. Lowe, Eds. London, U.K.: The Royal Aeronautical Society, 1997.
19. T. Bass, "Intrusion detection systems and multisensor data fusion: Creating cyberspace situational awareness," Commun. ACM, vol. 43, no. 4, pp. 99-105, 2000.
20. R. Alami, R. Chatila, S. Fleury,M. Ghallab, and F. Ingrand, "An architecture for autonomy," Int. J. Robot. Res., vol. 17, no. 4, pp. 315-337, 1998.
21. M. Bedworth and J. O'Brien, "The Omnibus model: A new model data fusion?," IEEE Aerosp. Electron. Syst. Mag., vol. 15, no. 4, pp. 30-36, Apr. 2000, doi:10.1109/62.839632, ISSN: 0885-8985.
22. C. M. Bishop, Neural Networks for Pattern Recognition. New York: Oxford Univ. Press, 1995.
23. R. Luo, C.-C. Yih, and K. Su, "Multisensor fusion and integration: Approaches, applications, and future research directions," IEEE Sensors J., vol. 2, no. 2, pp. 107-119, Apr. 2002. (Pubitemid 44357916)
24. G. Pratl, "Processing and symbolization of ambient sensor data," Ph.D. dissertation, Faculty of Elect. Eng. Inform. Technol.,Vienna University of Technology, Vienna, Austria, 2006.
25. W. Burgstaller, "Interpretation of situations in buildings," Ph.D. dissertation, Vienna Univ. Technol., Inst. Comput. Technol., Vienna, Austria, 2007.
26. R. Velik, R. Lang, D. Bruckner, and T. Deutsch, "Emulating the perceptual system of the brain for the purpose of sensor fusion," Proc. 1st IEEE HSI, pp. 657-662, 2008.
27. R. Velik, G. Zucker, and D. Dietrich, "Towards automation 2.0: A neurocognitive model for environment recognition, decision-making, and action execution," EURASIP J. Embedded Syst., vol. 2011, p. 11, 2011.
28. A. R. Lurija, The Working Brain: An Introduction to Neuropsychology. New York: Basic Books, 1973.
29. D. Bruckner, "Probabilistic models in building automation: Recognizing scenarios with statistical methods," Ph.D. dissertation, Vienna Univ. Technol., Inst. Comput. Technol., Vienna, Austria, 2007.
30. D. Bruckner and R.Velik, "Behavior learning in dwelling environments with hidden Markov models," IEEE Trans. Ind. Electron., vol. 57, no. 11, pp. 3653-3660, Nov. 2010.
31. R. L. Rabiner and B. H. Juang, "An introduction to hidden Markov models," IEEE ASSP Mag., vol. 3, pp. 4-16, 1986.
32. Inference in Hidden Markov Models, O. Cappe, E. Moulines, and T. Ryden, Eds. New York: Springer, 2005.
33. T. Takeda, Y. Hirata, and K. Kosuge, "Dance step estimation method based on hmm for dance partner robot," IEEE Trans. Ind. Electron., vol. 54, no. 2, pp. 699-706, Apr. 2007. (Pubitemid 46523124)
34. S. Tashiro and T. Murakami, "Step passage control of a power-assisted wheelchair for a caregiver," IEEE Trans. Ind. Electron., vol. 55, no. 4, pp. 1715-1721, Apr. 2008. (Pubitemid 351585985)
35. H. Schweppe, A. Zimmermann, and D. Grill, "Flexible on-board stream processing for automotive sensor data," IEEE Trans. Ind. Informat., vol. 6, no. 1, pp. 81-92, Feb. 2010.
36. K. Giannakouris, Regional Population Projections Europop2008: Most EU Regions Face Older Population Profile in 2030, Eurostat-Statistics in Focus, 2010.
37. P. Palensky and D. Dietrich, "Demand side management: Demand response, intelligent energy systems, and smart loads," IEEE Trans. Ind. Informat., vol. 7, no. 3, pp. 381-388, Aug. 2011.
38. Y. Tao, H.Wei, T.Wang, and D. Chen, "A multi-layered interaction architecture for elderly companion robot," in Intelligent Robotics and Applications. New York: Springer, 2008, vol. 5314/2008, Lecture Notes in Computer Science, pp. 538-546.
39. D. E. Barnes, K. Yaffe, N. Belfor,W. J. Jagust, C. DeCarli, B. R. Reed, and J. H. Kramer, "Computer-based cognitive training for mild cognitive impairment: Results from a pilot randomized, controlled trial," Alzheimer Dis Assoc Disord., vol. 23, no. 3, pp. 205-210, Jul.-Sep. 2010.
40. M. Urbano, J. Fonseca, U. Nunes, L. Figueiredo, and A. Lopes, "Adaptation of powered wheelchairs for quadriplegic patients with reduced strength," in Proc. IEEE Int. Conf. Emerging Technol. Factory Autom., (ETFA'08), 2008, pp. 1104-1107.
41. R. Luo, T. Hsu, T. Lin, and K. Su, "The development of intelligent home security robot," in Proc. IEEE Int. Conf. Mechatronics, 2005, p. 422.
42. R. Kistler, S. Knauth, and A. Klapproth, "An adaptive network architecture for home- and building environments," in Proc. IEEE Int. Conf. Emerging Technol. Factory Autom., (ETFA'08), 2008, p. 295.
43. D. Bruckner, B. Sallans, and R. Lang, "Behavior learning via state chains from motion detector sensors," in Proc. 2nd IEEE BIONETICS, 2007, 8 pages.
44. H. Ghasemzadeh and R. Jafari, "Physical movement monitoring using body sensor networks: A phonological approach to construct spatial decision trees," IEEE Trans. Ind. Informat., vol. 7, no. 1, pp. 66-77, Feb. 2011.
45. B. Sallans, D. Bruckner, and G. Russ, "Statistical model-based sensor diagnostics for automation systems," in Proc. 6th IFAC FET, 2005, pp. 56-63.
46. B. Sallans, D. Bruckner, and G. Russ, "Statistical detection of alarm conditions in building automation," in Proc. 4th IEEE INDIN, 2006, pp. 257-262.
47. , B. Goertzel and P. Wang, Eds., Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms. Amsterdam, The Netherlands: IOS Press, 2007.
48. AgiWorkshop Notes, 2006. [Online]. Available: Http://www.agiri.org/ wiki/Instead-of-an-AGI-Textbook
49. S. Franklin, "A foundational architecture for artificial general intelligence," in Proc. 2007 Conf. Advances in Artif. General Intell.: Concepts, Architectures and Algorithms: AGI Workshop 2006, 2006, pp. 36-54.
50. E. Baum, "A working hypothesis for general intelligence," in Proc. 2007 Conf. Advances in Artif. General Intell.: Concepts, Architectures and Algorithms: AGI Workshop 2006, 2006, pp. 55-74.
51. A. Sloman, "What sort of architecture us required for a human-like agent?," in Foundations of Rational Agency, M. Wooldridge and A. Rao, Eds. Norwell, MA: Kluwer, 1999, pp. 35-52.
52. J. R. Anderson and C. Lebiere, The Atomic Components of Thought. Mahwah, NJ: Lawrence Erlbaum Associates, 1998.
53. J. E. Laird, A. Newell, and P. S. Rosenbloom, "Soar: An architecture for general intelligence," Artif. Intell., vol. 33, pp. 1-64, 1987.
54. H. Zeilinger, "Bionically inspired information representation for embodied software agents," Ph.D. dissertation, Vienna Univ. Technol., Vienna, Austria, 2010.
55. R. Pfeifer and J. Bongard, How the Body Shapes the Way We Think. Cambridge, MA: MIT Press, 2007.
56. T. Ziemke and R. Lowe, "On the role of emotion in embodied cognitive architectures: From organisms to robots," Cognitive Comput., vol. 1, pp. 104-117, 2009.
57. S. Franklin and F. G. Patterson, "The lida architecture: Adding new modes of learning to an intelligent, autonomous, software agent," in Proc. Integr. Design and Process Technol. (IDPT'06), 2006. [Online]. Available: Http://ccrg.cs.memphis.edu/assets/papers/ zo-1010-lida-060403.pdf, 8 pages.
58. A. Sloman, R. Chrisley, and M. Scheutz, "The architectural basis of affective states and processes," in Who Needs Emotions?: The Brain Meets the Robot,M. Arbib and J. Fellous, Eds. Oxford, U.K.: Oxford Univ. Press, 2005, pp. 203-244.
59. T. Deutsch, "Human bionically inspired autonomous agents-The framework implementation arsi11 of the psychoanalytical entity id applied to embodied agents," Ph.D. dissertation, Vienna Univ. Technol., Vienna, Austria , 2011.
60. B. Goertzel and C. Pennachin, "The novamente artificial intelligence engine," in Artificial General Intelligence, B. Goertzel and C. Pennachin, Eds. Berlin, Heidelberg, Germany: Springer, 2007, pp. 63-129.
61. B. Goertzel and C. Pennachin, "An inferential dynamics approach to personality and emotion driven behavior determination for virtual animals," in Proc. Reign of Cats and Dogs Symp., AI and the Simulation of Behavior (AISB), 2008, pp. 1-5.
62. B. Goertzel and C. Pennachin, "The collective pet unconscious: Balancing intelligence and individuality in populations of learning-enabled virtual pets," ACM-CHI, 2009, 4 pages.
63. M. Looks, B. Goertzel, and C. Pennachin, "Novamente: An integrative architecture for general intelligence," in AAAI Fall Symp. Achieving Human-Level Intell. Through Integr. Syst. Res., 2004, pp. 54-61. (Pubitemid 43251959)
64. S. Hanks, M. E. Pollack, and P. R. Cohen, "Benchmarks, test beds, controlled experimentation, and the design of agent architectures," AI Magazine, vol. 14, no. 4, pp. 17-42, 1993.
65. S. Theiss, V. Vasyutynskyy, and K. Kabitzsch, "Software agents in industry: A customized framework in theory and praxis," IEEE Trans. Ind. Informat., vol. 5, no. 2, pp. 147-156, May 2009.
66. N. Motoi, M. Ikebe, and K. Ohnishi, "Real-time gait planning for pushing motion of humanoid robot," IEEE Trans. Ind. Informat., vol. 3, no. 2, pp. 154-163, May 2007. (Pubitemid 46861087)
67. D. Katic, "Advances in cognitive robotics, achievements and challenge," in Proc. 10th Symp. Neural Network Appl. Electr. Eng. (NEUREL), 2010, pp. 109-109.
68. A. Cangelosi, V. Tikhanoff, J. Fontanari, and E. Hourdakis, "Integrating language and cognition: A cognitive robotics approach," IEEE Comput. Intell. Mag., vol. 2, no. 3, pp. 65-70, 2007. (Pubitemid 47182472)
69. J.-T. Amenyo, "Engineering computer architectures for cognitive robotics-the cr/sarama model," in Proc. 8th IEEE Int. Conf. Cognitive Informat., ICCI, 2009, pp. 102-107.
70. A. Razavian and J. Sun, "Cognitive based adaptive path planning algorithm for autonomous robotic vehicles," Proc. IEEE SoutheastCon, pp. 153-160, 2005. (Pubitemid 41538329)
71. R. A. Brooks, "A robust layered control system for a mobile robot," IEEE J. Robot. Autom., vol. 2, no. 1, pp. 14-23, Mar. 1986.
72. A. Damasio, Descartes' Error: Emotion, Reason, and the Human Brain. Baltimore, MD: Penguin Books 2005, 1994.
73. A. Sloman, Information-processing systems in nature Univ. Birmingham, Birmingham, U.K., 2004.
74. D. Dietrich, D. Bruckner, G. Zucker, B. Mller, and A. Tmej, "Psychoanalytical model for automation and robotics," in Proc. 9th IEEE AFRICON 2009 (Technical keynote), 2009, pp. 1-8.
75. S. Bovet and R. Pfeifer, "Emergence of delayed reward learning from sensorimotor coordination," in Proc. IEEE/RSJ Int. Conf. Intell. Robot. Syst., 2005, pp. 2272-2277.
76. S. Bovet and R. Pfeifer, "Emergence of coherent behaviors from homogenous sensorimotor coupling," in Proc. 12th Int. Conf. Adv. Robot., 2005, pp. 324-330. (Pubitemid 44458680)
77. R. Lang, "A decision unit for autonomous agents based on the theory of psychoanalysis," Ph.D. dissertation, Vienna Univ. Technol., Vienna, Austria, 2010.
78. H. Markram, "The blue brain project," Nature Reviews, Neuroscience, vol. 7, pp. 153-160, Feb. 2006. (Pubitemid 43151601)
79. C2 Project, 2009. [Online]. Available: Http://www-03.ibm.com/ press/us/en/pressrelease/28842.wss
80. G. Buttazzo, E. Bini, and Y. Wu, "Partitioning real-time applications over multicore reservations," IEEE Trans. Ind. Informat., vol. 7, no. 2, pp. 302-315, May 2011.
81. M.Versace and B. Chandler, "Moneta:Amind made from memristors," IEEE Spectrum, pp. 30-37, Dec. 2010.
82. D. Dörner, Die Mechanik des Seelenwagens: Eine neuronale Theorie der Handlungsregulation (mechanics of the mindwaggon: A neuronal theory of actionregulation). Berlin, Germany: Huber, Bern, 2002.
83. D. Gajski and R.Kuhn, "Guest editors introduction-NewVLSI tools," IEEE Computer, pp. 11-14, 1983.
84. Sony's AIBO 2006. [Online]. Available: Http://www.robothalloffame. org/06inductees/aibo.html
85. Therapeutic Robot PARO, 2011. [Online]. Available: Http://www.parorobots. com/
86. C.-Y. Lin, L.-C. Cheng, C.-K. Tseng, H.-Y. Gu, K.-L. Chung, C.-S. Fahn, K.-J. Lu, and C.-C. Chang, "A face robot for autonomous simplified musical notation reading and singing," Robot. Autonomous Syst., vol. 59, no. 11, pp. 943-953, Nov. 2011.
87. T. Minato, Y. Yoshikawa, T. Noda, S. Ikemoto, H. Ishiguro, and M. Asada, "Cb2: A child robot with biomimetic body for cognitive developmental robotics," in Proc. 7th IEEE-RAS Int. Conf. Humanoid Robots, Dec. 2007, pp. 557-562, doi:10.1109/ICHR.2007.4813926.
88. C. Breazeal, Designing Sociable Robots. Cambridge, MA: MIT Press, 2002.
89. D. Dietrich, G. Fodor, G. Zucker, and D. Bruckner, Simulating the Mind-A Technical Neuropsychoanalytical Approach. Berlin, Germany: Springer Wien, 2009.
90. M. Leuzinger-Bohleber and R. Pfeifer, "Recollecting the past in the present: Memory in the dialogue between psychoanalysis and cognitive science," in Psychoanalysis and Neuroscience, M. Mancia, Ed. New York: Springer , 2006, pp. 63-95.
91. S. Turkle, "Artificial intelligence and psychoanalysis: A new alliance," in The Artificial Intelligence Debate: False Starts, Real Foundations, S. R. Graubard, Ed. Cambridge, MA:MIT Press, 1989, pp. 241-268.
92. M. Minsky, The Emotion Machine: Commonsense Thinking, Artificial Intelligence, and the Future of the Human Mind. New York: Simon & Schuster, 2006.
93. A. Buller, "Building brains for robots: A psychodynamic approach," in Proc. 1st Int. Conf. Pattern Recogn. Machine Intell., Invited Talk (PReMIT'05), 2005, pp. 17-20.
94. A. Iran-Nejad, "The schema: A long-term memory structure or a transient functional pattern," in Understanding Readers' Understanding: Theory and Practice, R. J. Tierney, P. Anders, and J. Mitchell, Eds. Mahwah, NJ: Lawrence Erlbaum Associates, 1987, pp. 109-128.
95. A.R.S. Project, 2011. [Online]. Available: Http://ars.ict.tuwien.ac.at
96. M. Quigley, B. Gerkey, K. Conley, J. Faust, T. Foote, J. Leibs, E. Berger, R. Wheeler, and A. Y. Ng, "ROS: An open-source robot operating system," in Proc. Open-Source Softw. Workshop Int. Conf. Robot. Autom., 2009.