GCG aviator: A decision support agent for career management

Alina Patelli*, Peter R. Lewis, Hai Wang, Ian Nabney, David Bennett, Ralph Lucas

*Corresponding author for this work

Research output: Chapter in Book/Published conference outputConference publication


Intelligent decision support agents work with heterogeneous information that is constantly changing. They are expected to process that information autonomously and produce results in a form that is easy to understand by a human user. Similarly, online career information is published by different authors in various formats and is subject to continuous editing. Online career advice seekers should be informed by an intuitive, easy to explore view of available career resources. We propose Aviator, a career guidance agent that collates relevant data from different sources, allows viewers to conveniently explore as well as edit that data and provides a means for personalising the users’ interaction with the system. We describe, justify and evaluate Aviator’s features to highlight their usefulness with providing efficient support for career decisions.

Original languageEnglish
Title of host publicationArtificial Life and Intelligent Agents - Second International Symposium, ALIA 2016, Revised Selected Papers
Number of pages5
ISBN (Print)9783319904177
Publication statusE-pub ahead of print - 19 Apr 2018
Event2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016 - Birmingham, United Kingdom
Duration: 14 Jun 201615 Jun 2016

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Conference2nd International Symposium on Artificial Life and Intelligent Agents, ALIA 2016
Country/TerritoryUnited Kingdom


  • Autonomic computing
  • Decision support
  • Ontologies


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