Abstract
Within knowledge and data engineering a new research paradigm is emerging based on
the Multi-Agent System (MAS) architectural framework, allowing human and software
agents to interoperate and thus cooperate within common application areas. In such
a framework, knowledgeable agents of heterogeneous nature, that possess diverse but
at least partially compatible or inter-translatable conceptual views, or ontologies,
modeling both their own expertise and the external environment, make somehow available
their information resources or problem-solving abilities for cooperative processes
addressing the construction of a new agent or the achievement of some common goal
through a correlated execution of tasks.
In this paper, we restrict our analysis to the case of an organization of cognitive
agents, illustrated with examples from a prototypical healthcare MAS, that is, a so-called
Distributed Healthcare Information System (D-HIS). The prototype makes use of an ontological
library written in the standard language Ontolingua. An ongoing application of the
methodology to the main problem of Clinical Practice Guidelines (GLs) computer-based
dissemination and enforcement is described.
Keywords
Agent - Ontology - Organization - Distributed Healthcare - Clinical Practice Guideline