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Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study

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Title:
Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study.
Authors: 
Yanira Paz, Quintín Martin, Javier Bajo and Dante I. Tapia
Book:
Innovations in Hybrid Intelligent Systems Advances in Soft Computing. Advances in Soft Computing. Volume 44, pp. 296-303.

Publication date: 
2007
ISSN: 
1867-5662 (Print)
ISBN: 
978-3-540-74971-4 (Online) / 978-3-540-74972-1 (Print)
DOI
 10.1007/978-3-540-74972-1_39

BibTex

@book { book,
title = {Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study},
author = {Yanira Paz, Quintín Martin, Javier Bajo and Dante I. Tapia},
publisher = {Springer Science + Business Media},
volume = {44},
series = {Advances in Soft Computing},
isbn = {978-3-540-74971-4 (Online) / 978-3-540-74972-1 (Print)},
year = {2007}
}

XML

<inproceedings key='conf/Yanira/2007' mdate='2007'>
<author>Yanira Paz</author>
<author>Quintín Martin</author>
<author>Javier Bajo</author>
<author>Dante I. Tapia</author>
<title>Combining Improved FYDPS Neural Networks and Case-Based Planning — A Case Study</title>
<pages>296-303</pages>
<year>2007</year>
<booktitle>Innovations in Hybrid Intelligent Systems Advances in Soft Computing</booktitle>
<ee>10.1007/978-3-540-74972-1_39</ee>
</inproceedings>

This paper presents a hybrid deliberative architecture based on the concept of CBPBDI agent. A CBP-BDI agent is a BDI agent that incorporates a CBP reasoning engine. The work here presented focuses in the development of the CBP internal structure. The planning mechanism has been implemented by means of a novel FYDPS neural network. The system has been tested and this paper presents the results obtained.

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