Situating A&A ReSpecT for Pervasive Environment Applications


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Matteo Casadei, Andrea Omicini

Lyndon J. B. Nixon, Manfred Bortenschlager, Elena Simperl, Robert Tolksdorf (eds.)
“17th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises. Workshop on Coordination Models and Applications (CoMA 2008)”, pages 76-81
23-25 June 2008

The challenge of intelligence in pervasive computing scenarios is a difficult and fascinating one. While MAS (multi-agent systems) provide for a principled approach to pervasive intelligent systems, large scale and physical distribution call for expressive coordination models and technologies promoting distribution of intelligence. Also, the issue of situatedness of intelligence mandates for effective agent models and technologies enabling the engineering of agent-based systems immersed within dynamic and articulated pervasive computing environments. Moving MAS coordination toward situatedness — from both a theoretical and a technological viewpoint — is then a fundamental step toward intelligent MAS in pervasive computing scenarios. 

In this paper we show how a language for MAS coordination — ReSpecT — can be extended according a meta-model providing a simple and solid grounding for MAS situatedness — A&A —, and present a simple case study where the extended A&A ReSpecT is used to coordinate an agent-oriented pervasive system for sensing and controlling environmental properties.

Publication

— authors

— editors

Lyndon J. B. Nixon, Manfred Bortenschlager, Elena Simperl, Robert Tolksdorf

— status

published

— sort

paper in proceedings

— publication date

23-25 June 2008

— volume

17th IEEE International Workshops on Enabling Technologies: Infrastructures for Collaborative Enterprises. Workshop on Coordination Models and Applications (CoMA 2008)

— pages

76-81

— address

IEEE WETICE 2008, Rome, Italy

URLs

original page

identifiers

— DOI

10.1109/WETICE.2008.31

— ACM

10.1109/WETICE.2008.31

— IEEE

4806895

— IRIS

11585/899636

— Scopus

2-s2.0-66749141476

— WoS / ISI

000268613900015

— print ISBN

978-0-7695-3315-5

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