Automatic generation of software agents for physical model from a description

Osama Zaki; Keith Brown; Dave Lane

Automatic generation of software agents for physical model from a description

Osama Zaki, Keith Brown, Dave Lane

Research output: Contribution to conference › Paper › peer-review

Abstract

Using agents approach as a modelling platform for physical systems, i.e. electrical circuit was instigated by [Zaki et al., 05]. In this paper, the usefulness of integrating with third-party simulation tools to extract physical model information is shown. The possibility of generating the model automatically from a description, i.e. plain text, is explored. Finally, different methods to generate the model automatically are discussed.

Original language	English
Pages	44-50
Number of pages	7
Publication status	Published - 2005
Event	2005 UK Workshop on Computational Intelligence - London, United Kingdom Duration: 5 Sept 2005 → 7 Sept 2005

Conference

Conference	2005 UK Workshop on Computational Intelligence
Abbreviated title	UKCI 2005
Country/Territory	United Kingdom
City	London
Period	5/09/05 → 7/09/05

ASJC Scopus subject areas

Artificial Intelligence
Applied Mathematics

Cite this

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title = "Automatic generation of software agents for physical model from a description",

abstract = "Using agents approach as a modelling platform for physical systems, i.e. electrical circuit was instigated by [Zaki et al., 05]. In this paper, the usefulness of integrating with third-party simulation tools to extract physical model information is shown. The possibility of generating the model automatically from a description, i.e. plain text, is explored. Finally, different methods to generate the model automatically are discussed.",

author = "Osama Zaki and Keith Brown and Dave Lane",

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AU - Brown, Keith

AU - Lane, Dave

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AB - Using agents approach as a modelling platform for physical systems, i.e. electrical circuit was instigated by [Zaki et al., 05]. In this paper, the usefulness of integrating with third-party simulation tools to extract physical model information is shown. The possibility of generating the model automatically from a description, i.e. plain text, is explored. Finally, different methods to generate the model automatically are discussed.

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M3 - Paper

AN - SCOPUS:84883291799

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T2 - 2005 UK Workshop on Computational Intelligence

Y2 - 5 September 2005 through 7 September 2005

ER -

Automatic generation of software agents for physical model from a description

Abstract

Conference

ASJC Scopus subject areas

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