System dynamics models are typically created using multiple streams of information including quantitative data, written records, and information contained in mental models of both individuals and groups. While qualitative sources of information are widely recognized as important in all stages of the model building process, little systematic research has been completed how best to elicit and map this knowledge. In this paper, we survey the existing literature on mapping and eliciting knowledge for system dynamics modeling and also explore this literature in the broader fields of cognitive psychology and small group processes. Special attention is paid to new software advances to support these processes.

This is the whole item.

Date created

• 1989

Type

• Document

Processing Activity

• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

License

• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
  Contact Us for questions or additional rights.

ITEM CONTEXT

Part of

a656a490ae4bb95659d385b98804153f

Scope and Contents

Part of

23d738ba88f8333bc39725f9cb5bd0b8

Scope and Contents

Part of

229aea09844305a482784be9fca550ff

Scope and Contents

Collection

System Dynamic Society Records

Scope and Contents

Collecting area

• This collection is part of the University Archives