@inproceedings{1ddd49d0adcc4f22a9d5b959960d2f90,
title = "Lifelong learning approach to intelligent agents modeling",
abstract = "In this paper, we presented an application of neural network-based models in the intelligent agent domain. The use of neural networks has the advantage that the model can adapt itself to changing environment conditions by simple retraining steps. This is illustrated by two functions needed for the lifelong learning-based modeling of an intelligent robotic agent: The function for generalizing sensor observations to conceptual states, and the function for modeling the effects of robot actions on the conceptual state space. An example shows that the algorithms can be applied in real-world environments.",
author = "Witold Jacak and Stephan Dreiseitl",
year = "1997",
doi = "10.1007/BFb0025059",
language = "English",
isbn = "3540638113",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "367--379",
editor = "Franz Pichler and Roberto Moreno-Diaz",
booktitle = "Computer Aided Systems Theory - EUROCAST 1997 - A Selection of Papers from the 6th International Workshop on Computer Aided Systems Theory, Proceedings",
address = "Germany",
note = "6th International Workshop on Computer Aided Systems Theory, EUROCAST 1997 ; Conference date: 24-02-1997 Through 28-02-1997",
}