Intelligent interface agents for a system to diagnose eye disorders

Yanguo Jing; Keith Brown; Nick Taylor

doi:10.1145/544862.544927

Intelligent interface agents for a system to diagnose eye disorders

Yanguo Jing, Keith Brown, Nick Taylor

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of the first international joint conference on Autonomous agents and multiagent systems
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	794-795
Number of pages	2
Volume	2
DOIs	https://doi.org/10.1145/544862.544927
Publication status	Published - 15 Jul 2002
Externally published	Yes
Event	First International Joint Conference on Autonomous Agents and Multi-Agent Systems - Bologna, Italy Duration: 15 Jul 2002 → 19 Jul 2002

Academic conference

Academic conference	First International Joint Conference on Autonomous Agents and Multi-Agent Systems
Abbreviated title	AAMAS02
Country/Territory	Italy
City	Bologna
Period	15/07/02 → 19/07/02

Keywords

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

Access to Document

10.1145/544862.544927Licence: Unspecified

Cite this

@inproceedings{1ce512c2d57e4f2b9b28b28a86bfbc30,

title = "Intelligent interface agents for a system to diagnose eye disorders",

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.",

keywords = "Architecture, Domain model, Eye disorders, Intelligent interface agent, Plan recognition, User model",

author = "Yanguo Jing and Keith Brown and Nick Taylor",

year = "2002",

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booktitle = "Proceedings of the first international joint conference on Autonomous agents and multiagent systems",

publisher = "Association for Computing Machinery",

address = "United States",

note = "First International Joint Conference on Autonomous Agents and Multi-Agent Systems, AAMAS02 ; Conference date: 15-07-2002 Through 19-07-2002",

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Jing, Y, Brown, K & Taylor, N 2002, Intelligent interface agents for a system to diagnose eye disorders. in Proceedings of the first international joint conference on Autonomous agents and multiagent systems. vol. 2, Association for Computing Machinery, New York, pp. 794-795, First International Joint Conference on Autonomous Agents and Multi-Agent Systems, Bologna, Italy, 15/07/02. https://doi.org/10.1145/544862.544927

Intelligent interface agents for a system to diagnose eye disorders. / Jing, Yanguo; Brown, Keith; Taylor, Nick.
Proceedings of the first international joint conference on Autonomous agents and multiagent systems. Vol. 2 New York: Association for Computing Machinery, 2002. p. 794-795.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Taylor, Nick

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AB - 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.

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KW - Domain model

KW - Eye disorders

KW - Intelligent interface agent

KW - Plan recognition

KW - User model

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M3 - Conference contribution

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EP - 795

BT - Proceedings of the first international joint conference on Autonomous agents and multiagent systems

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T2 - First International Joint Conference on Autonomous Agents and Multi-Agent Systems

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ER -

Intelligent interface agents for a system to diagnose eye disorders

Abstract

Academic conference

Keywords

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