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Digital Library

of the European Council for Modelling and Simulation

 

Title:

Analysis And Classification Of Task Knowledge Patterns

Authors:

Wai Shiang Cheah, Leon Sterling

Published in:

 

(2010).ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs. European Council for Modeling and Simulation. doi:10.7148/2010 

 

ISBN: 978-0-9564944-1-2

Doi: 10.7148/2010

 

24th European Conference on Modelling and Simulation,

Simulation Meets Global Challenges

Kuala Lumpur, June 1-4 2010

 

Citation format:

Wai Shiang, C., & Sterling, L. (2010). Analysis And Classification Of Task Knowledge Patterns. ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs (pp. 34-40). European Council for Modeling and Simulation. doi:10.7148/2010-0034-0040

DOI:

http://dx.doi.org/10.7148/2010-0034-0040

Abstract:

Patterns have recorded the experience of engineering software systems. Various patterns have been introduced and described in several domains. A particular class of patterns, task knowledge patterns that are important for agent oriented software development, is investigated in this paper. It has been reported that descriptions of task knowledge given in the pattern literature is not clearly structured, and some of the useful description is left implicit to the developer. This paper reports our investigation on task knowledge that has been shared across a wider spectrum of articles to showcase such scenario. We present a new way to analyse and classify task knowledge patterns. Furthermore, we demonstrate how the experience of different dvelopment groups is described very differently based on the classification result. The investigation shows the need to present task descriptions in a structured manner. The analysis and classification techniques demonstrated are applicable for agent-based simulation.

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