Advertisement

Introduction: Artificial Intelligence: Its Future and its Cultural Roots

  • Massimo Negrotti
Part of the Artificial Intelligence and Society book series (HCS)

Abstract

The history of the human species has involved a continual process of adaptation to the physical dimensions and fluctuations of the natural environment. Their success in this respect has been achieved not only through an ancient biological and non-intentional evolutionary process but also through intentional efforts aimed at building devices able to provide useful tools for survival. Science and technology are, simultaneously, the main causes and effects of these efforts, and the concrete result of their advances is summed up in the concept of “The Technological Environment”. In other words, in order to adapt themselves to the external environment, humans have built up a new one and now they have to deal with two distinct, though interrelated, spaces of fluctuating dimensions, each with its own problems of adaptation, namely the natural and artificial environments.

Keywords

Expert System Cultural Root External World Human Mind Technological Environment 
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. Andrew AM (1987) Self-organizing systems and artificial intelligence. Systems Research and Information Science 2: 212–226Google Scholar
  2. Arbib MA (1984) Computers and the cybernetic society. Academic Press, OrlandoGoogle Scholar
  3. Atlan H (1973) Le principe d’ordre a partir de bruit, l’apprentissage non dirige e le reve. In: Morin E, Piattelli Palmarini M (eds) Le cerveau humain. PUF, ParisGoogle Scholar
  4. Bibel W (1987) Introduction for the Panel on parallel inference machines. In: McDermott J (ed) Proceedings IJCAI-87. Morgan Kaufmann, Los Altos, CAGoogle Scholar
  5. Erdi P (1988) From brain theory to future generation computer systems. In: Carvallo ME (ed) Nature, cognition and system. Kluwer, DordrechtGoogle Scholar
  6. Gabriel RP (1989) Introduction. LISP and Symbolic Computation 1 (3/4)Google Scholar
  7. Kumar V (1985) Parallel processing for artificial intelligence. AITR-85–10, The University of TexasGoogle Scholar
  8. Maas S, Oberquelle H (1988) Human-computer interaction from the perspective of software development and reality construction. In: Proceedings software development and reality construction. Preprints, Schloss EringerfeldGoogle Scholar
  9. Michie D (1987) Six points concerning knowledge-based systems. In: Taylor G (ed) Expert systems for decision makingGoogle Scholar
  10. Negrotti M (1975) Sociologia dell’ambiente tecnico. Saggio sull’equilibrio futuro del sistema cultura-tecnica. Angeli, MilanoGoogle Scholar
  11. Negrotti M (1980) La degenerazione dei sistemi autoregolati. Il simulatore SYSDE. Sociologia e Ricerca Sociale I (l): 117–134Google Scholar
  12. Ornstein SM (1986) Loose coupling: does it make the SDI software trustworthy? CPSR, WS-100–1, Palo AltoGoogle Scholar
  13. Ostberg O (1986) Expert systems in a social environment - human factor concerns. Proceedings of the human factor society, 30th annual meetingGoogle Scholar
  14. Partridge D (1987) Is intuitive expertise rule based? Proceedings of the 3rd international expert systems conference. Learned Information, LondonGoogle Scholar
  15. Shastri L (1986) Massive parallelism in artificial intelligence. Working paper of the department of computer and information science, University of PennsylvaniaGoogle Scholar
  16. Simon HA (1973) Le scienze dell’artificiale. Mondadori, MilanoGoogle Scholar
  17. Simondon G (1969) Du objet technique. PUF, ParisGoogle Scholar
  18. Sojat Z (1987) Cybernetics and systems: present and future. In: Proceedings of the 7th international congress of cybernetics and systems. Thales, LondonGoogle Scholar
  19. von Bertalanffy L (1971) Teoria generale dei sistemi. ILI, MilanoGoogle Scholar
  20. Winograd T, Flores F (1986) Understanding computers and cognition: a new foundation for design. Ablex, NorwoodMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Massimo Negrotti

There are no affiliations available

Personalised recommendations