Advertisement

Introducing Consciousnet : Internet Content as an Environment for Human-Machine Interaction

  • Vincenzo Catania
  • Davide Patti
  • Mariagrazia Sciacca
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8511)

Abstract

In this work we introduce Consciousnet , an open source architecture aimed to provide a general purpose environment for experimenting with human-machine language interaction. The main idea is exploiting the distributed and unsupervised complexity of the Internet in order to get all the semantic/syntactic material needed to carry on a linguistic text based interaction. After describing the main elements of the architecture, the results of a set of Turing-inspired tests are shown to demonstrate how the unpredictability and generality of the environment can be used as a basis for designing tests and experiments involving both psychologists and AI scientists.

Keywords

User Input Conceptual Domain Intelligence Environment Internet Content Proportional Delay 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Cao, Y., Yang, W.-Y., Lin, C.-Y., Yu, Y.: A structural support vector method for extracting contexts and answers of questions from online forums. Inf. Process. Manage. 47(6), 886–898 (2011)CrossRefGoogle Scholar
  2. 2.
    Clarke, A.C.: 2001: A space odissey. Pearson Education (2001)Google Scholar
  3. 3.
    Colby, K.M.: Simulation of belief systems. In: Computer Models of Thought and Language, pp. 251–286 (1973)Google Scholar
  4. 4.
    Eaton, M.: An approach to the synthesis of humanoid robot dance using non-interactive evolutionary techniques. In: 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 3305–3309. IEEE (2013)Google Scholar
  5. 5.
    The R Foundation for Statistical Computing. The r project for statistical computing, http://www.r-project.org
  6. 6.
    Goldstein, I., Papert, S.: Artificial intelligence, language, and the study of knowledge. Cognitive Science 1(1), 84–123 (1977)CrossRefGoogle Scholar
  7. 7.
    The Stanford Natural Language Processing Group. Stanford log-linear part-of-speech tagger, http://nlp.stanford.edu/downloads/tagger.shtml
  8. 8.
    Higuchi, K.: Kh coder, http://khc.sourceforge.net/en/
  9. 9.
    Huang, J., Zhou, M., Yang, D.: Extracting chatbot knowledge from online discussion forums. In: Proceedings of the 20th International Joint Conference on Artifical Intelligence, IJCAI 2007, pp. 423–428. Morgan Kaufmann Publishers Inc., San Francisco (2007)Google Scholar
  10. 10.
    Google Inc. Google customsearch, https://developers.google.com/custom-search/
  11. 11.
    Isles, D.: Artificial intelligence as a possible tool for discovering laws of logic. Cognitive Science 2(4), 329–360 (1978)CrossRefGoogle Scholar
  12. 12.
    McCarthy, J., Hayes, P.: Some philosophical problems from the standpoint of artificial intelligence. Stanford University (1968)Google Scholar
  13. 13.
    Ranks nl webmaster tools. English stopwords, http://www.ranks.nl/resources/stopwords.html
  14. 14.
    University of Catania. Dipartimento di scienze della formazione, http://www.disfor.unict.it
  15. 15.
    Patti, D.: Network knowledge based ai entity, https://code.google.com/p/consciousnet/
  16. 16.
    Shawar, B.A., Atwell, E.S.: Using corpora in machine-learning chatbot systems. International Journal of Corpus Linguistics 10(4), 489–516 (2005)CrossRefGoogle Scholar
  17. 17.
    Tarau, P., Figa, E.: Knowledge-based conversational agents and virtual storytelling. In: Proceedings of the 2004 ACM Symposium on Applied Computing, SAC 2004, pp. 39–44. ACM, New York (2004)Google Scholar
  18. 18.
    Ward Jr., J.H.: Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58, 236–244 (1963)CrossRefMathSciNetGoogle Scholar
  19. 19.
    Weizenbaum, J.: Eliza a computer program for the study of natural language communication between man and machine. Commun. ACM 9(1), 36–45 (1966)CrossRefGoogle Scholar
  20. 20.
    Yamane, K., Nakamura, Y.: Robot kinematics and dynamics for modeling the human body. In: Kaneko, M., Nakamura, Y. (eds.) Robotics Research. STAR, vol. 66, pp. 49–60. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Vincenzo Catania
    • 1
  • Davide Patti
    • 1
  • Mariagrazia Sciacca
    • 2
  1. 1.DIEEIUniversity of CataniaItaly
  2. 2.Dipartimento Scienze della FormazioneUniversity of CataniaItaly

Personalised recommendations