INVESTIGADORES
MATEOS DIAZ Cristian Maximiliano
artículos
Título:
MoviLog: A Platform for Prolog-Based Strong Mobile Agents on the WWW
Autor/es:
ALEJANDRO ZUNINO; MARCELO CAMPO; CRISTIAN MATEOS
Revista:
INTELIGENCIA ARTIFICIAL. IBERO-AMERICAN JOURNAL OF ARTIFICIAL INTELLIGENCE
Editorial:
AEPIA
Referencias:
Año: 2003 vol. 4 p. 83 - 92
ISSN:
1137-3601
Resumen:
Despite the wide availability of Java-based mobile agent platforms, mobile agent development is still recognized for being challenging and difficult. This is mainly caused by agents? location awareness, which implies that developers have to provide code for taking decisions about mobility, in addition to code implementing traditional stationary behavior. In this article we describe MoviLog, a mobile agent platform for building Prolog-based mobile agents called Brainlets. MoviLog implements a novel mobility mechanism, reactive mobility by failure (RMF), that is able to automatically migrate Brainlets based on its resource needs. MoviLog has been implemented as an extension of JavaLog, a multi-paradigm languagethat integrates Java and Prolog. The article also reports on experimental results on the usage of MoviLog and comparisons with other platforms.
