Have a personal or library account? Click to login
Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction Cover

Accelerating progress in Artificial General Intelligence: Choosing a benchmark for natural world interaction

By: Brandon Rohrer  
Open Access
|Nov 2011

References

  1. Achler, T., and Amir, E. 2009. Neuroscience and AI share the same elegant mathematical trap. In Proc 2009 Conf on Artificial General Intelligence.10.2991/agi.2009.18
  2. Asuncion, A., and Newman, D. 2007. UCI Machine Learning Repository. http://www.ics.uci.edu/~mlearn/MLRepository.html
  3. AUVSI. 2009. AUVSI Unmanned Systems Online. http://www.auvsi.org/competitions/water.cfm
  4. Bayer, S.; Damianos, L.; Hirschman, L.; and Strong, G. 2004. A Summary of Previous Grand Challenge Proposals for Cognitive Systems. Technical report, The MITRE Corporation. Version 1.5, Prepared for DARPA IPTO http://www.dtic.mil/cgi-bin/GetTRDoc?Location=U2&doc=GetTRDoc.pdf&AD=ADA45817010.21236/ADA458170
  5. Brachman, R. J. 2006. (AA)AI more than the sum of its parts. AI Magazine 27(4):19-34.
  6. Carpenter, R., and Freeman, J. 2005. Computing machinery and the individual: The Personal Turing Test. Technical report, Jabberwacky. http://www.jabberwacky.com/personaltt
  7. Cohen, P. R. 2005. If not Turing's test, then what? AI Magazine 26(4):61-67.
  8. CoroWare Inc. 2007. The CoroWare CoroBot. http://www.corobot.net/
  9. DARPA. 2007. DARPA Urban Challenge. http://www.darpa.mil/grandchallenge/index.asp
  10. Dillman, R. 2004. KA 1.10 Benchmarks for Robotics Research. Technical report, University of Karlsruhe. Sponsored: European Robotics Research Network.
  11. Duch, W.; Oentaryo, R. J.; and Pasquier, M. 2008. Frontiers in Artificial Intelligence Applications, volume 171. IOS Press. chapter Cognitive architectures: Where do we go from here?, 122-136.
  12. Elio, R., and Pelletier, F. J. 1993. Human benchmarks on AI's benchmark problems. In Proc 15th Congress of the Cognitive Science Society, 406-411.
  13. FIRA. 2009. Federation of International Robosoccer Association Homepage. http://www.fira.net/
  14. Geva, S., and Sitte, J. 1993. A cart-pole experiment for trainable controllers. IEEE Control Systems Magazine 13:40-51.10.1109/37.236324
  15. Goertzel, B., and Pennachin, Eds., C. 2007. Artificial General Intelligence. Springer.10.1007/978-3-540-68677-4
  16. Goertzel, B.; Arel, I.; and Scheutz, M. 2009. Toward a roadmap for human-level artificial general intelligence: Embedding HLAI systems in broad, approachable, physical or virtual contexts. Technical report, Artificial General Intelligence Roadmap Initiative. http://www.agi-roadmap.org/images/HLAIR.pdf
  17. Griffin, G.; Holub, A.; and Perona, P. 2007. Caltech-256 Object Category Dataset. Technical Report 7694, California Institute of Technology. http://authors.library.caltech.edu/7694
  18. Harnad, S. 1991. Other bodies, other minds: A machine incarnation of an old philisophical problem. Minds and Machines 1:43-54.10.1007/BF00360578
  19. Hutter, M. 2005. Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability. Berlin Heidelberg: Springer-Verlag.
  20. Kennedy, J. F. 1961. Man on the Moon Address. http://www.homeofheroes.com/presidents/speeches/kennedy_space.html
  21. Kokinov, B. N. 1994. The DUAL cognitive architechture: A hybrid multi-agent approach. In Proceedings of the Eleventh European Conference on Artificial Intelligence. John Wiley and Sons.
  22. Laird, J. E.; Wray III, R. E.; Marinier III, R. P.; and Langley, P. 2009. Claims and challenges in evaluating human-level intelligent systems. In Proceedings of the 2009 Conference on Artificial General Intelligence. Atlantis Press.10.2991/agi.2009.17
  23. Lebiere, C.; Gonzales, C.; and Warwick, W. 2009. A comparative approach to understanding general intelligence: Predicting cognitive performance in an open-ended dynamic task. In Proceedings of the Second Conference on Artificial General Intelligence. Atlantis Press.10.2991/agi.2009.2
  24. Livingston, S., and Arel, I. 2009. AGI Roadmap. http://agi-roadmap.org/
  25. Michel, O.; Rohrer, F.; and van Bourquin, Y. 2008. Rat's Life: A cognitive robotics benchmark. In et al., H. B., ed., Proc 2008 European Robotics Sympoiusm, volume STAR 44, 223-232. Berlin Heidelberg: Springer-Verlag.10.1007/978-3-540-78317-6_23
  26. Mlodinow, L. 2008. The Drunkard's Walk: How Randomness Rules Our Lives, 8th Printing Edition. Pantheon. See Chapter 1.
  27. Moore, A. 1990. Efficient Memory-Based Learning for Robot Control. Ph.D. Dissertation, University of Cambridge.
  28. Mueller, S. T., and Minnery, B. S. 2008. Adapting the Turing Test for embodied neurocognitive evaluation of biologically-inspired cognitive agents. In Proc. 2008 AAAI Fall Symposium on Biologically Inspired Cognitive Architectures.
  29. Netflix. 2009. Netflix Prize Homepage. http://www.netflixprize.com/
  30. Nilsson, N. J. 1995. Eye on the prize. AI Magazine 16(2):9-17.
  31. Schmidhuber, J. 2004. Optimal ordered problem solver. Machine Learning 54:211-254.10.1023/B:MACH.0000015880.99707.b2
  32. Schmidhuber, J. 2009. Ultimate cognition à la Gödel. Cognitive Computing 1:177-193.10.1007/s12559-009-9014-y
  33. The LEGO Group. 2009. The Official Web Site of LEGO(R) Products. http://www.lego.com/
  34. The RoboCup Federation. 2009a. RoboCup Homepage. http://www.robocup.org/
  35. The RoboCup Federation. 2009b. RoboCupHome Homepage. http://www.ai.rug.nl/robocupathome/
  36. Tino, P.;. Hammer, B.; and Bodén, M. 2007. Perspectives of Neural-Symbolic Integration, volume 77. Heidelberg, Germany: Springer-Verlag. chapter 5. Markovian bias of neural-based architectures with feedback connections, 95-133.
  37. Turing, A. M. 1950. Computing machinery and intelligence. Mind 59:433-460.10.1093/mind/LIX.236.433
  38. Wang, P. 2008a. Editorial: What makes JAGI special. Journal of Artificial General Intelligence 1:1-2.10.2478/v10229-011-0001-9
  39. Wang, P. 2008b. Frontiers in Artificial Intelligence Applications, volume 171. IOS Press. chapter What do you mean by AI?, 362-373.
  40. Weng, J. 2009. Task muddiness, intelligence metrics, and the necessity of autonomous mental development. Minds and Machines 19:93-115.10.1007/s11023-008-9127-1
  41. Wray, R., and Lebiere, C. 2007. Metrics for cognitive architecture evaluation. In Proceedings of the AAAI-07 Workshop on Evaluating Architectures for Intelligence.
Language: English
Page range: 1 - 28
Published on: Nov 23, 2011
Published by: Artificial General Intelligence Society
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2011 Brandon Rohrer, published by Artificial General Intelligence Society
This work is licensed under the Creative Commons License.

Volume 2 (2010): Issue 1 (June 2010)