Multi-agent Systems Meet Aggregate Programming: Towards a Notion of Aggregate Plan


Mirko Viroli, Danilo Pianini, Alessandro Ricci, Pietro Brunetti, Angelo Croatti

Qingliang Chen, Paolo Torroni, Serena Villata, Jane Hsu, Andrea Omicini (eds.)
PRIMA 2015: Principles and Practice of Multi-Agent Systems, pages 49–64
Lecture Notes in Computer Science 9387
Springer International Publishing
2015

Recent works foster the idea of engineering distributed situated systems by taking an aggregate stance: design and development are better conducted by abstracting away from individuals' details, directly programming overall system behaviour instead. Concerns like interaction protocols, self-organisation, adaptation, and large-scaleness, are automatically hidden under the hood of the platform supporting aggregate programming. This paper aims at bridging the apparently significant gap between this idea and agent autonomy, paving the way towards an aggregate computing approach for multi-agent systems. Specifically, we introduce and analyse the idea of "aggregate plan": a collective plan to be played by a dynamic team of cooperating agents.

(keywords) Spatial Computing; Aggregate Programming; Computational Fields

Tags:

Publication

— authors

— editors

Qingliang Chen, Paolo Torroni, Serena Villata, Jane Hsu, Andrea Omicini

— status

published

— sort

paper in proceedings

— publication date

2015

— volume

PRIMA 2015: Principles and Practice of Multi-Agent Systems

— series

Lecture Notes in Computer Science

— volume

9387

— pages

49–64

URLs

original page

identifiers

— DOI

10.1007/978-3-319-25524-8_4

— DBLP

conf/prima/ViroliPRBC15

— IRIS

11585/521212

— Scopus

2-s2.0-84950323451

— WoS / ISI

000367782600004

— print ISBN

978-3-319-25523-1

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