A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams (CROSBI ID 679400)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Perišić, Marija Majda ; Martinec, Tomislav ; Štorga, Mario ; Gero, John S
engleski
A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams
This paper presents the results of computational experiments aimed at studying the effect of experience on design teams’ exploration of problem-solution space. An agent-based model of a design team was developed and its capability to match theoretically-based predictions is tested. Hypotheses that (1) experienced teams need less time to find a solution and that (2) in comparison to the inexperienced teams, experienced teams spend more time exploring the solution-space than the problem-space, were tested. The results provided support for both of the hypotheses, demonstrating the impact of learning and experience on the exploration patterns in problem and solution space, and verifying the system's capability to produce the reliable results.
Teamwork, Simulation, Human behaviour in design, Agent-based modelling, Coevolution
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Podaci o prilogu
11-20.
2019.
objavljeno
10.1017/dsi.2019.4
Podaci o matičnoj publikaciji
Proceedings of the Design Society: International Conference on Engineering Design
Wartzack, Sandro ; Schleich, Benjamin ; Guerreiro Gonçalves, Milene ; Eisenbart, Boris
Cambridge: Cambridge University Press
2220-4342
Podaci o skupu
22nd International Conference in Engineering Design ICED19
predavanje
05.08.2019-08.08.2019
Delft, Nizozemska