Editorial: Why Coordination Models and Languages in AI?

Andrea Omicini, George A. Papadopoulos

Applied Artificial Intelligence: An International Journal 15(1), pages 1–10
January 2001

The pervasive spreading of Information Technology, along with the continuously growing and almost ubiquitous request for intelligence in systems, is giving new life to the AI research. At the same time, this introduces new issues in the AI field, like the engineering of intelligent systems, which calls for manageable abstractions, methodologies, and technologies effectively supporting engineers in the design, development, and deployment of intelligent systems.

Interaction seems to be the most relevant feature of today complex systems, so that new models and technologies are emerging that focus on interaction as an independent dimension in the modelling and engineering of hardware and software systems. In particular, research on Coordination Models and Languages has provided computer scientists and engineers with abstractions and tools to model and shape the space of component interaction in multi-component systems.

In this article, we discuss the impact of coordination models and languages on the process of engineering intelligent systems, particularly when they are built and organised as multi-agent systems. We first speculate on this topic in general, then introduce some specific coordination issues in the context of intelligent systems, which are subsequently developed and discussed in the four articles constituting the remainder of this Special Issue.

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Andrea Omicini, George A. Papadopoulos

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Andrea Omicini, George A. Papadopoulos

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editorial / introduction / preface

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January 2001

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Applied Artificial Intelligence: An International Journal

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Special Issue: Coordination Models and Languages in AI

Partita IVA: 01131710376 — Copyright © 2008–2023 APICe@DISI – PRIVACY