Publikationen

Richert, Willi; Kleinjohann, Bernd; Kleinjohann, Lisa: Learning Action Sequences through Imitation in Behavior Based Architectures. In: Systems Aspects in Organic and Pervasive Computing - ARCS 2005, LNCS, number 3432 , S. 93-107, 14 - 17 Mar 2005, Springer-Verlag Berlin

Abstract

In this paper a new architecture for learning action sequences through
imitation is proposed. Imitation occurs by means of observing and applying
sequences of basic behaviors. When an agent has observed another agent and
applied the observed action sequence later on, this imitated action sequence
can be seen as a meme. Agents that behave similarly can therefore be grouped
by their typical behavioral patterns. This paper thus explores imitation from
the view of memetic proliferation.

Combining imitation learning with meme theory we show by simulating agent
societies that with imitation significant performance improvements can be
achieved. The performance is quantified by using an entropy measure to
qualitatively evaluating the emerging clusters.

Our approach is demonstrated by the example of a society of emotion driven
agents that imitate each other to reach pleasant emotional state.

files

Learning Action Sequences through Imitation in Behavior Based Architectures.pdf

Bibtex

@inproceedings{hniid=2245,
author = {Richert, Willi and Kleinjohann, Bernd and Kleinjohann, Lisa},
title = {Learning Action Sequences through Imitation in Behavior Based Architectures},
booktitle = {Systems Aspects in Organic and Pervasive Computing - ARCS 2005},
number = {3432},
series = {LNCS},
pages = {93-107},
publisher = {Springer-Verlag Berlin},
month = {14~-~17~} # mar,
year = {2005},
}