Authors:
Manel Palau
1
;
Luigi Ceccaroni
1
;
Ignasi Gómez-Sebastià
2
;
Javier Vázquez-Salceda
2
and
Juan Carlos Nieves
2
Affiliations:
1
TMT Factory, Spain
;
2
Knowledge Engineering & Machine Learning Group, UPC, Spain
Keyword(s):
Multi-agent systems, Coordination and organisational theory, Context awareness, Personalised recommendation, Semantic Web services.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Collaboration and e-Services
;
Cooperation and Coordination
;
Distributed and Mobile Software Systems
;
e-Business
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge-Based Systems
;
Multi-Agent Systems
;
Semantic Web
;
SOA and Software Agents
;
Social Intelligence
;
Soft Computing
;
Software Engineering
;
Symbolic Systems
Abstract:
A multi-agent system design-methodology is used to address the highly dynamic, regulated, complex, distributed environment of interconnected services. A framework of three interconnected levels is applied to tackle this issue relying on coordination and organisational techniques, as well as on Web-services and new methodologies to design, deploy and maintain a distributed system. This paper presents results based on a real use case: interactive community displays with touristic information and services, dynamically personalised according to user context and preferences.