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  5. Mobile intelligence: enabling a new class of context-aware services
 
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Mobile intelligence: enabling a new class of context-aware services

Author(s)
O'Hare, G. M. P. (Greg M. P.)  
O'Grady, Michael J.  
Collier, Rem  
Keegan, Stephen  
Uri
http://hdl.handle.net/10197/4458
Date Issued
2004-07-19
Date Available
2013-07-22T13:33:12Z
Abstract
Agent-Oriented Programming (AOP) offers an alternative and radical
approach to the development of information systems in various domains.
However, one domain that AOP has only minimally affected, at least up until
now, is that of mobile computing. Until recently, the use of strong intentional
agents in such a domain has been considered impractical, and, indeed,
computationally intractable. In this paper, Agent Factory, a system for the
fabrication of strong intelligent agents is introduced. In particular, its strategies
for realising such agents in the computationally-constrained world of mobile
computing are outlined. Finally, two archetypical mobile computing
applications, realised through Agent Factory, are described. The first, EasiShop,
a ubiquitous commerce (uCommerce) application, enables shoppers to seek out
good deals while wandering an arbitrary shopping mall or high street. The
second, Gulliver’s Genie, is a mobile context-sensitive tourist guide that
focuses on the delivery of personalised multimedia content in a just-in-time
basis.
Sponsorship
Science Foundation Ireland
Irish Research Council for Science, Engineering and Technology
Type of Material
Conference Publication
Subjects

Agent-oriented progra...

Agent-oriented applic...

Systems architecture

Language
English
Status of Item
Peer reviewed
Conference Details
Agent Oriented Information Systems Workshop at the Third International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS04), Columbia University, New York, 19th - 23rd July 2004
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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P207-O'Hare,O'Grady,Collier,Keegan-04.pdf

Size

3.36 MB

Format

Adobe PDF

Checksum (MD5)

9ea12e625acd98b6819a600ad85ea139

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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