Intelligent agent framework for modelling the evolution of small and medium sized enterprises

Karen Blackmore; Terence Bossomaier; Denise Jarratt; Keith Nesbitt

Intelligent agent framework for modelling the evolution of small and medium sized enterprises

Karen Blackmore, Terence Bossomaier, Denise Jarratt, Keith Nesbitt

Research output: Book chapter/Published conference paper › Conference paper › peer-review

31 Downloads (Pure)

Abstract

Small and medium sized enterprises constitute a major component of the Australian economy. In fact in 2000- 2001 they accounted for up to 91% of all businesses and provided 80% of all private sector employment [1]. Therefore many service industries are interested in the growth and potential of the small and medium business sector. However, modelling these enterprises is difficult because of their small size, and individual natures. One largely untried approach is to use agent-based modelling. Agent frameworks have become a powerful tool for modelling complex, interacting systems. This is a result of an agent-based systems capacity to handle nonlinear systems, their inherent flexibility and their ability to learn and adapt as the model evolves.

Original language	English
Title of host publication	Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003)
Editors	Brian C Lovell, Duncan A Campbell, Clinton B Fookes, Anthony J Maeder
Place of Publication	Queensland
Publisher	Queensland University of Technology
Pages	345-350
Number of pages	6
ISBN (Electronic)	1741070392
Publication status	Published - 2003
Event	Australian and New Zealand Intelligent Information Systems Conference - Sydney, Australia, Australia Duration: 10 Dec 2003 → 12 Dec 2003

Conference

Conference	Australian and New Zealand Intelligent Information Systems Conference
Country/Territory	Australia
Period	10/12/03 → 12/12/03

Access to Document

Intelligent agent framework for modelling the evolution of small and medium sized enterprisesAccepted author manuscript, 130 KB

Cite this

Blackmore, K., Bossomaier, T., Jarratt, D., & Nesbitt, K. (2003). Intelligent agent framework for modelling the evolution of small and medium sized enterprises. In B. C. Lovell, D. A. Campbell, C. B. Fookes, & A. J. Maeder (Eds.), Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003) (pp. 345-350). Queensland University of Technology.

Blackmore, Karen ; Bossomaier, Terence ; Jarratt, Denise et al. / Intelligent agent framework for modelling the evolution of small and medium sized enterprises. Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003). editor / Brian C Lovell ; Duncan A Campbell ; Clinton B Fookes ; Anthony J Maeder. Queensland : Queensland University of Technology, 2003. pp. 345-350

@inproceedings{6ccf8602fd1f494488a6266d463dcb27,

title = "Intelligent agent framework for modelling the evolution of small and medium sized enterprises",

abstract = "Small and medium sized enterprises constitute a major component of the Australian economy. In fact in 2000- 2001 they accounted for up to 91% of all businesses and provided 80% of all private sector employment [1]. Therefore many service industries are interested in the growth and potential of the small and medium business sector. However, modelling these enterprises is difficult because of their small size, and individual natures. One largely untried approach is to use agent-based modelling. Agent frameworks have become a powerful tool for modelling complex, interacting systems. This is a result of an agent-based systems capacity to handle nonlinear systems, their inherent flexibility and their ability to learn and adapt as the model evolves.",

keywords = "Open access version available",

author = "Karen Blackmore and Terence Bossomaier and Denise Jarratt and Keith Nesbitt",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = Queensland: Queensland University of Technology, 2003. editor/s (773b) = Lovell, Brian C ; Campbell, Duncan A ; Fookes, Clinton B ; Maeder, Anthony J ; Event dates (773o) = 10-12 December 2003; Parent title (773t) = Australian and New Zealand Intelligent Information Systems Conference.; Australian and New Zealand Intelligent Information Systems Conference ; Conference date: 10-12-2003 Through 12-12-2003",

year = "2003",

language = "English",

pages = "345--350",

editor = "Lovell, {Brian C} and Campbell, {Duncan A} and Fookes, {Clinton B} and Maeder, {Anthony J}",

booktitle = "Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003)",

publisher = "Queensland University of Technology",

address = "Australia",

}

Blackmore, K, Bossomaier, T, Jarratt, D & Nesbitt, K 2003, Intelligent agent framework for modelling the evolution of small and medium sized enterprises. in BC Lovell, DA Campbell, CB Fookes & AJ Maeder (eds), Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003). Queensland University of Technology, Queensland, pp. 345-350, Australian and New Zealand Intelligent Information Systems Conference, Australia, 10/12/03.

Intelligent agent framework for modelling the evolution of small and medium sized enterprises. / Blackmore, Karen; Bossomaier, Terence; Jarratt, Denise et al.
Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003). ed. / Brian C Lovell; Duncan A Campbell; Clinton B Fookes; Anthony J Maeder. Queensland: Queensland University of Technology, 2003. p. 345-350.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Intelligent agent framework for modelling the evolution of small and medium sized enterprises

AU - Blackmore, Karen

AU - Bossomaier, Terence

AU - Jarratt, Denise

AU - Nesbitt, Keith

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Queensland: Queensland University of Technology, 2003. editor/s (773b) = Lovell, Brian C ; Campbell, Duncan A ; Fookes, Clinton B ; Maeder, Anthony J ; Event dates (773o) = 10-12 December 2003; Parent title (773t) = Australian and New Zealand Intelligent Information Systems Conference.

PY - 2003

Y1 - 2003

N2 - Small and medium sized enterprises constitute a major component of the Australian economy. In fact in 2000- 2001 they accounted for up to 91% of all businesses and provided 80% of all private sector employment [1]. Therefore many service industries are interested in the growth and potential of the small and medium business sector. However, modelling these enterprises is difficult because of their small size, and individual natures. One largely untried approach is to use agent-based modelling. Agent frameworks have become a powerful tool for modelling complex, interacting systems. This is a result of an agent-based systems capacity to handle nonlinear systems, their inherent flexibility and their ability to learn and adapt as the model evolves.

AB - Small and medium sized enterprises constitute a major component of the Australian economy. In fact in 2000- 2001 they accounted for up to 91% of all businesses and provided 80% of all private sector employment [1]. Therefore many service industries are interested in the growth and potential of the small and medium business sector. However, modelling these enterprises is difficult because of their small size, and individual natures. One largely untried approach is to use agent-based modelling. Agent frameworks have become a powerful tool for modelling complex, interacting systems. This is a result of an agent-based systems capacity to handle nonlinear systems, their inherent flexibility and their ability to learn and adapt as the model evolves.

KW - Open access version available

M3 - Conference paper

SP - 345

EP - 350

BT - Eighth Australian and New Zealand intelligent information systems conference(ANZIIS 2003)

A2 - Lovell, Brian C

A2 - Campbell, Duncan A

A2 - Fookes, Clinton B

A2 - Maeder, Anthony J

PB - Queensland University of Technology

CY - Queensland

T2 - Australian and New Zealand Intelligent Information Systems Conference

Y2 - 10 December 2003 through 12 December 2003

ER -

Intelligent agent framework for modelling the evolution of small and medium sized enterprises

Abstract

Conference

Access to Document

Fingerprint

Cite this