Agents are self-contained software entities which act faithfully and autonomously on behalf of a body of knowledge. They can operate in a standalone capacity, or as part of a social group collaborating and coordinating activities with other software agents. To access their knowledge, agents are interfaced with using message passing communication. The principle behind medical communications is to provide a means for exchanging information and knowledge from one computerised location to another, whilst preserving its true meaning and understanding between the listener and sender. Agent communication is similar to medical communications, but must provide an additional framework element to allow agents to interact at a social and operational level. Social aspects relate to agents collaborating on shared objectives, and operational aspects relate to coordination of tasks between the loosely coupled agents working as part of a group. Medical communications focus on data exchanges specific to the medical domain, while agent communication was designed for a much broader audience. Therefore, it is essential to verify if agent communications can support standard medical data exchanges. This paper investigates current forms of agent based communications and demonstrates they can support medical communication, yet retain their social and interaction information exchange functionality.
[1]
Mikel Egaña Aranguren.
ONTOLOGY DESIGN PATTERNS FOR THE FORMALISATION OF BIOLOGICAL ONTOLOGIES
,
2005
.
[2]
Carole A. Goble,et al.
TAMBIS: Transparent Access to Multiple Bioinformatics Information Sources
,
1998,
ISMB.
[3]
Frank van Harmelen,et al.
Using C-OWL for the alignment and merging of medical ontologies
,
2004,
KR-MED.
[4]
Alan L. Rector,et al.
Ontological and Practical Issues in Using a Description Logic to Represent Medical Concept Systems: Experience from GALEN
,
2006,
Reasoning Web.
[5]
Michael Luck,et al.
Agent technology: Enabling next generation computing
,
2003
.
[6]
Anand S. Rao,et al.
BDI Agents: From Theory to Practice
,
1995,
ICMAS.
[7]
N. F. Noy,et al.
Ontology Development 101: A Guide to Creating Your First Ontology
,
2001
.
[8]
Aldo Gangemi,et al.
An Overview of the ONIONS Project: Applying Ontologies to the Integration of Medical Terminologies
,
1999,
Data Knowl. Eng..