Lifelong learning approach to intelligent agents modeling

Witold Jacak, Stephan Dreiseitl

Publikation: Beitrag in Buch/Bericht/TagungsbandKonferenzbeitragBegutachtung

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.

OriginalspracheEnglisch
TitelComputer Aided Systems Theory - EUROCAST 1997 - A Selection of Papers from the 6th International Workshop on Computer Aided Systems Theory, Proceedings
Redakteure/-innenFranz Pichler, Roberto Moreno-Diaz
Herausgeber (Verlag)Springer
Seiten367-379
Seitenumfang13
ISBN (Print)3540638113, 9783540638117
DOIs
PublikationsstatusVeröffentlicht - 1997
Veranstaltung6th International Workshop on Computer Aided Systems Theory, EUROCAST 1997 - Las Palmas de Gran Canaria, Spanien
Dauer: 24 Feb 199728 Feb 1997

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band1333
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz6th International Workshop on Computer Aided Systems Theory, EUROCAST 1997
Land/GebietSpanien
OrtLas Palmas de Gran Canaria
Zeitraum24.02.199728.02.1997

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