A Case-driven Methodology for the Interdisciplinary Development and Examination of Mental Architectures

This paper provides a theoretical specification of a case-driven methodology to develop and examine mental architectures1. The challenges of regular interdisciplinary collaboration are tackled by combining casuistry, use-case driven software engineering, and simulation in a novel way. A shared representation of the problem space by exemplary cases supports requirements analysis. By providing such common platform that enables perspectives for different disciplines, the case-driven methodology is able to support interdisciplinary knowledge translation. For re- quirement and model specification use-case inspired methods are used. To validate and examine mental architectures agent-based simulation is proposed, enabling us to test the specified as- sumptions and the model's plausibility.