BAF : a bio-inspired agent framework for distributed pervasive applications

Brousse, Olivier (Institute of Information Systems, Université de Lausanne (UNIL), Lausanne, Switzerland) ; Sassatelli, Gilles (Institute of Information Systems, Université de Lausanne (UNIL), Lausanne, Switzerland) ; Guillemenet, Y. (Institute of Information Systems, Université de Lausanne (UNIL), Lausanne, Switzerland) ; Robert, Michel (Institute of Information Systems, Université de Lausanne (UNIL), Lausanne, Switzerland) ; Grize, François (Institute of Information Systems, Université de Lausanne (UNIL), Lausanne, Switzerland) ; Sanchez, Eduardo (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Thoma, Yann (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Upegui, Andrés (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Moreno, J.M. (Department of electronic Engineering, Technical University of Catalunya (UPC), Barcelona, Spain) ; Madrenas, J. (Department of electronic Engineering, Technical University of Catalunya (UPC), Barcelona, Spain)

In this paper we introduce the Bio-inspired Agent Framework (BAF) developed within the Perplexus IST European project1. This BAF is FIPA (Foundation for Intelligent and Physical Agents) compliant as based on the JADE Multi-Agent Platform, portable and suitable for Adhoc networks of mobile nodes (MANET). Its bio-inspired capabilities and reliability services provide a powerful bioinspired distributed tool that opens interesting perspectives for adaptive sensor networks.


Keywords:
Conference Type:
full paper
Faculty:
Ingénierie et Architecture
School:
HEIG-VD
Institute:
ReDS - Reconfigurable & embedded Digital Systems
Subject(s):
Ingénierie
Publisher:
Jingzhou, Hubei, China, 25-26 September 2008
Date:
2008-09
Jingzhou, Hubei, China
25-26 September 2008
Pagination:
7 p.
Published in:
Proceedings of Second international conference on genetic and evolutionary computing, WGEC 2008, 25-26 September 2008, Jingzhou, Hubei, China
ISBN:
978-0-7695-3334-6
External resources:
Appears in Collection:



 Record created 2019-04-02, last modified 2019-04-09

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