Action Selection Properties in a Software Simulated Agent
Artificial Intelligence
2007-05-23 v1
Abstract
This article analyses the properties of the Internal Behaviour network, an action selection mechanism previously proposed by the authors, with the aid of a simulation developed for such ends. A brief review of the Internal Behaviour network is followed by the explanation of the implementation of the simulation. Then, experiments are presented and discussed analysing the properties of the action selection in the proposed model.
Cite
@article{arxiv.cs/0211039,
title = {Action Selection Properties in a Software Simulated Agent},
author = {Carlos Gershenson Garcia and Pedro Pablo Gonzalez Perez and Jose Negrete Martinez},
journal= {arXiv preprint arXiv:cs/0211039},
year = {2007}
}
Comments
12 pages, in MICAI 2000: Advances in Artificial Intelligence. Lecture Notes in Artificial Intelligence 1793, pp. 634-648. Springer-Verlag