Modelling Agents as Observable Sources


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Mirko Viroli, Andrea Omicini, Alessandro Ricci

Journal of Universal Computer Science 8(4), pages 423-451
April 2002

<div>Observation is a fundamental interaction pattern in today's computer-based systems.
Adopting observation as the main modelling criterion, computer-based systems can be represented as composed by three class of entities: <i>observers, observables</i> (or <i>sources</i>), and <i>coordinators</i>, that is, the entities managing the observer/source interaction.</div>

<div>Also, <i>agents</i> and agent <i>societies</i> are fundamental abstractions in modelling today's complex systems.
When exploiting observation in the context of agent-based systems, the most natural interpretation for agents is to see them as either observers or coordinators.
However, their situatedness and autonomy, their peculiar perception and representation of the environment, and their typical ability to infer new knowledge &mdash; in short, their <i>individual viewpoint</i> over the world &mdash;, make agents suitable for an interpretation as observable sources.</div>

<div>Accordingly, this paper discusses the implications of using observation to model agent systems, and focuses on the interpretation of agents as observables.
A formal framework is developed where multiagent systems are modelled as the composition of agents interacting by observing each other and by mutually affecting their observable behaviour.</div>

(keywords) coordination patterns, formal models, multi-agent systems

Journals & Series

Tags:

Publication

— authors

— status

published

— sort

article in journal

— publication date

April 2002

— journal

Journal of Universal Computer Science

— volume

8

— issue

4

— pages

423-451

URLs

original page  |  original PDF

identifiers

— DOI

10.3217/jucs-008-04-0423

— Scopus

2-s2.0-0010220748

— WoS / ISI

000177112700003

— print ISSN

0948-695x

— online ISSN

0948-6968

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