Intelligent interface agents for a system to diagnose eye disorders

Yanguo Jing, Keith Brown, Nick Taylor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We have applied a Model based Intelligent Interface Agent (MI2A) architecture to an eye disorder diagnosis system. This architecture enables the intelligent interface agents to reason on user actions and to provide assistance on the target application. The interface agents share a common ontology, which is presented in terms of tasks and actions. This paper focuses on how this architecture is applied the eye disorder diagnosis system.

Original languageEnglish
Title of host publicationProceedings of the 1st International Joint Conference on Autonomous Agents and Multiagent Systems
Subtitle of host publicationpart 2
Pages794-795
Number of pages2
DOIs
Publication statusPublished - 2002
EventFirst International Joint Conference on Autonomous Agents and Multiagent Systems - Bologna, Italy
Duration: 15 Jul 200219 Jul 2002

Conference

ConferenceFirst International Joint Conference on Autonomous Agents and Multiagent Systems
CountryItaly
CityBologna
Period15/07/0219/07/02

Keywords

  • Architecture
  • Domain model
  • Eye disorders
  • Intelligent interface agent
  • Plan recognition
  • User model

Fingerprint Dive into the research topics of 'Intelligent interface agents for a system to diagnose eye disorders'. Together they form a unique fingerprint.

Cite this