By Topic

Transformation of perceptions as filter mechanisms in artificial intelligence

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Gelbard, F. ; Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna, Austria ; Bruckner, D. ; Doblhammer, K. ; Kovacs, Z.

When using the human mind as a template for artificial intelligence systems, principles of human thinking have to be modeled. One such very important principle is defense. Hence, in this article we describe a formalism to implement psychoanalytic defense mechanisms in artificial intelligence systems. They can be seen as transformations. A tuple1 consisting of perceptions or drives (of a software agent in our case) combined with a value indicating their strength is transformed into a different tuple, if a potential interpretation is considered inappropriate by the defense. Some types of defense mechanisms can easily be transformed. Other more difficult ones and abstract types of defense mechanisms are transformed by the use of transformation tables. The transformations can alter, suppress or pass each of the components of a tuple or the whole tuple. In this article we show the transformation tables, we give a categorization of defense mechanisms, we show the general form of the transformations and we show some examples of transformations and ways to implement them in artificial intelligence.

Published in:


Date of Conference:

13-15 Sept. 2011