Abstract
The Trojan Horse experiment is now on his third (of possible ten) phase. It’s an ongoing research connecting two researchers and two different knowledge fields – Architecture and Design. This research project was planed by both researchers, crossing academic fields and using the design concept of the Trojan Horse to develop a common project. In this early stage (we’re reporting the third test) the investigation is still inquiring the system, searching for positive tests and accessing their consistency, relating them with the results attained in the previous phases (one and two) with cumulative replicability. The ultimate goal is to improve the level of evidence without distorting the simulation results; this is done by extending the method initially designed by increasing the repetition factor by the value of one, tunning procedures and verifying the outcomes, while minimizing noise introduced by the diverse requirements from different compliances. Computer analysis will also be tested in it’s competence in stopping - or at least mitigating - human failures. Early results point to the need for tools that can better comply with the challenges posed by a voracious scientific production environment that stress the need to have more rigorous and attentive analysis. Results until now seem to point that evaluation and enquiry still requires some level of human dialog with the system - and/or a big investment in AI - in order to secure high-end intelligent systems (and not only digitalized human procedures). Future work will provide possible answers to this problem – a hypothesis is given for the fifth phase.
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Notes
- 1.
“Me see a néon, Moon above, I searched for years, I found no love, I’m sure that love, Will never be, A product of Plasticity”.
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Falcão, G., Beirão, J. (2021). Building a Trojan Horse: Third Phase in the Experiment/Research with City Information Modeling (CIM) and the Design Ethics. In: Arezes, P.M., Boring, R.L. (eds) Advances in Safety Management and Human Performance. AHFE 2021. Lecture Notes in Networks and Systems, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-80288-2_4
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