Departmental Papers (ESE)

Abstract

This paper explores novel approaches under the design inquiry paradigm that promise to help organizations better understand and solve socio-technical dilemmas. Design inquiry is contrasted with scientific inquiry (Section 1). Section 2 presents a meso-scale model of models methodology for design inquiry that synthesizes systems science, agent modeling and simulation, knowledge management architectures, and domain theories and knowledge. The goal is to focus computational science on exploring underlying mechanisms (white box modeling) and to support reflective theorizing and discourse to explain social dilemmas and potential resolutions. Section 3 then describes an evolving agent modeling and simulation testbed while Section 4 offers two gameworld applications that implement this approach and that serve as an example of the new types of instruments useful for systems social science. The conclusions wrapup by reviewing lessons learned about 10 criteria that have guided this research.

Document Type

Journal Article

Date of this Version

1-25-2010

Publication Source

Intelligent Decision Technologies

Volume

4

Issue

1

Start Page

51

Last Page

74

DOI

10.3233/IDT-2010-0069

Copyright/Permission Statement

The final publication is available at IOS Press through http://dx.doi.org/10.3233/IDT-2010-0069

Keywords

Social systems, systems approach, socio-cognitive agents, design inquiry

Share

COinS
 

Date Posted: 24 July 2016

This document has been peer reviewed.