Deploying intelligent systems on a global scale

Intelligent systems are rarely deployed in isolation. Furthermore, with the advent of the global Internet, corporate intranets, and the Web, the potential for interactions between intelligent systems has never been greater. However, new technologies such as Web services, the semantic Web, grid compu...

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Bibliographic Details
Published in:IEEE intelligent systems 2004-09, Vol.19 (5), p.71-73
Main Author: Willmott, S.
Format: Article
Language:English
Subjects:
Agentcities
Artificial intelligence
Computational grids
Grid computing
Harnesses
Information systems
Intelligent agent
Intelligent networks
Intelligent systems
Internet
Intranets
Isolation technology
Machine intelligence
Maintenance
Mathematical models
openNet
Peer to peer computing
Semantic Web
Semantics
Web services
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Summary:Intelligent systems are rarely deployed in isolation. Furthermore, with the advent of the global Internet, corporate intranets, and the Web, the potential for interactions between intelligent systems has never been greater. However, new technologies such as Web services, the semantic Web, grid computing, and peer-to-peer networks have made it easier than ever to create intelligent applications that span not only multiple machines but also multiple sites and organizations. So, one great challenge in intelligent systems research is to harness these technologies to verify and apply longstanding theories from distributed AI, agent systems, and other areas of networked intelligent systems research. Although we can generate knowledge from models, simulations, and small-scale trials, gaining a thorough understanding of intelligent systems requires increasingly large-scale deployments in challenging environments. Unfortunately, such experimentation is time consuming and costly-often requiring significant infrastructure development, maintenance, and low-level implementation before we can tackle more challenging and innovative elements. As the environments in which we employ intelligent systems continue to grow, so do the costs of deploying, testing, and verifying such systems.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2004.39