An approach for the integration of swarm intelligence in MAS: An engineering perspective

  • Authors:

  • Vincent Hilaire;Massimo Cossentino;Franck Gechter;Sebastian Rodriguez;Abderaffiaa Koukam

  • Affiliations:

  • Laboratoire Systmes et Transports, UTBM, 90010 Belfort Cedex, France;ICAR Institute, National Research Council, Palermo, Italy;Laboratoire Systmes et Transports, UTBM, 90010 Belfort Cedex, France;Laboratoire Systmes et Transports, UTBM, 90010 Belfort Cedex, France and Centro de Investigación de Teconologías Avanzadas de Tucumán, UTN, San Miguel de Tucuman, Argentina;Laboratoire Systmes et Transports, UTBM, 90010 Belfort Cedex, France

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2013

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Abstract

For more than 20years, researchers have designed models in order to describe swarm intelligence and apply the resulting techniques to complex problems. However, there is still a gap between these models and current MAS methodologies. The goal of this paper is to propose a principled and methodological approach for the engineering of systems based upon swarm intelligence. The constraints are, on the one hand, to enable the analysis, design and implementation of such systems; and, on the other hand, to formally analyze and verify properties of resulting systems. The principles of the approach are based, on the one hand, on requirement driven activities that produce goals to be fulfilled by the system of interest and, on the other, hand on an ontological modeling of the problem domain. This ontological modeling conceptualizes the phenomenon one seek to imitate and thus allows it understanding. The produced ontology is refined through the methodology activities down to organizational models.