DISTRIBUTED ARTIFICIAL-INTELLIGENCE AND OBJECT-ORIENTED MODELING OF AFISHERY

We have developed an object-oriented framework based on Distributed Ar tificial Intelligence principles for the modelling of man-resource int eraction. We study the case of the Niger inland delta fishery and try to contribute to the knowledge synthesis of a multidisciplinary resear ch team. In this paper, we present an implementation of an Object Orie nted Modelling simulation of the ''fishing-up process,'' comparing var ious object interaction hypotheses. We then discuss the problem of val idation and the advantages of Object Oriented Modelling for the manage ment of natural resources.