To read this content please select one of the options below:

Theory of deferred action: Agent‐based simulation model for designing complex adaptive systems

Nandish V. Patel (Brunel Business School, Brunel University, Uxbridge, UK)
Tillal Eldabi (Brunel Business School, Brunel University, Uxbridge, UK)
Tariq M. Khan (Brunel Business School, Brunel University, Uxbridge, UK)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 27 July 2010

1041

Abstract

Purpose

The purpose of this paper is to address the problem of designing artificial complex adaptive systems, like information systems and organisations, by developing a proof‐of‐concept conceptual proto‐agent model.

Design/methodology/approach

The paper develops an exploratory proto‐agent model and evaluates its suitability for implementation as agent‐based simulation.

Findings

The paper focuses on understanding the effect of emergence when designing artificial complex adaptive systems and produces a proto‐agent model that identified agents and their behavioural rules for modelling.

Practical implications

In deferred action, agents act in emergent organisation to achieve predetermined goals. Since emergence cannot be predicted, information systems and organisation design approaches that cater for emergent organisation are required.

Originality/value

The deferred action construct is a synthesis of planned approaches and contingency approaches to design information systems. It recognises the effect of emergence on information systems.

Keywords

Citation

Patel, N.V., Eldabi, T. and Khan, T.M. (2010), "Theory of deferred action: Agent‐based simulation model for designing complex adaptive systems", Journal of Enterprise Information Management, Vol. 23 No. 4, pp. 521-537. https://doi.org/10.1108/17410391011061799

Publisher

:

Emerald Group Publishing Limited

Copyright © 2010, Emerald Group Publishing Limited

Related articles