Pregled bibliografske jedinice broj: 1014314
A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams
A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams // Proceedings of the Design Society: International Conference on Engineering Design / Wartzack, Sandro ; Schleich, Benjamin ; Guerreiro Gonçalves, Milene ; Eisenbart, Boris (ur.).
Cambridge: Cambridge University Press, 2019. str. 11-20 doi:10.1017/dsi.2019.4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1014314 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A Computational Study of the Effect of Experience on Problem/Solution Space Exploration in Teams
Autori
Perišić, Marija Majda ; Martinec, Tomislav ; Štorga, Mario ; Gero, John S
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Design Society: International Conference on Engineering Design
/ Wartzack, Sandro ; Schleich, Benjamin ; Guerreiro Gonçalves, Milene ; Eisenbart, Boris - Cambridge : Cambridge University Press, 2019, 11-20
Skup
22nd International Conference in Engineering Design ICED19
Mjesto i datum
Delft, Nizozemska, 05.08.2019. - 08.08.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Teamwork, Simulation, Human behaviour in design, Agent-based modelling, Coevolution
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Strojarstvo, Interdisciplinarne tehničke znanosti
POVEZANOST RADA
Projekti:
HRZZ-IP-2018-01-7269 - Timska adaptabilnost u razvoju inovativnih proizvoda (TAIDE) (Štorga, Mario, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Fakultet strojarstva i brodogradnje, Zagreb
