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Pregled bibliografske jedinice broj: 1179902

Multi-agent system for simulation of team behaviour in product development


Perišić, Marija Majda
Multi-agent system for simulation of team behaviour in product development, 2020., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb


CROSBI ID: 1179902 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Multi-agent system for simulation of team behaviour in product development

Autori
Perišić, Marija Majda

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, doktorska disertacija

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
16.06

Godina
2020

Stranica
237

Mentor
Podobnik, Vedran ; Štorga, Mario

Ključne riječi
Agent-based modelling and simulations ; product development teams ; emergent team properties ; team learning ; team adaptation

Sažetak
Teams play a crucial role in many product development activities. However, teams - as complex socio-technical systems - are challenging to study in a real-world setting. Computational models and simulations offer easily controllable and cost-effective tools for supporting team studies. Computational models prove especially valuable in studies on the sufficient conditions for the emergence of various team properties and behaviours. As a consequence, the computational models offer a possible explanation of the observed phenomena and provide means for theory- testing and hypothesis generation. To support cognitive studies on product development teams, this dissertation develops a multi-agent system capable of representing various aspects of product development teams. Building on the existing theories, empirical studies and current teamwork models, this work derives a detail theoretical model of a designer, its cognition, its tasks, and interactions with others. The thesis then implements the theoretical model in a multi-agent system directed at studies of the emergence of team properties and behaviours – in particular, team learning and adaptation. Extensive testing of the derived computational model concludes the goal of obtaining a multi-purpose research tool for studies of product development teams and confirms the appropriateness of the chosen simulation technique – agent-based modelling - for the intended research goal.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
IP-2018-01-7269 - Timska adaptabilnost u razvoju inovativnih proizvoda (TAIDE) (Štorga, Mario, HRZZ - 2018-01) ( CroRIS)
IP-2013-11-6430 - Modeli i metode upravljanja inovacijama u razvoju kompleksnih inženjerskih sustava (MInMED) (Štorga, Mario, HRZZ - 2013-11) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Mario Štorga (mentor)

Avatar Url Marija Majda Perišić (autor)

Avatar Url Vedran Podobnik (mentor)


Citiraj ovu publikaciju:

Perišić, Marija Majda
Multi-agent system for simulation of team behaviour in product development, 2020., doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb
Perišić, M. (2020) 'Multi-agent system for simulation of team behaviour in product development', doktorska disertacija, Fakultet elektrotehnike i računarstva, Zagreb.
@phdthesis{phdthesis, author = {Peri\v{s}i\'{c}, Marija Majda}, year = {2020}, pages = {237}, keywords = {Agent-based modelling and simulations, product development teams, emergent team properties, team learning, team adaptation}, title = {Multi-agent system for simulation of team behaviour in product development}, keyword = {Agent-based modelling and simulations, product development teams, emergent team properties, team learning, team adaptation}, publisherplace = {Zagreb} }
@phdthesis{phdthesis, author = {Peri\v{s}i\'{c}, Marija Majda}, year = {2020}, pages = {237}, keywords = {Agent-based modelling and simulations, product development teams, emergent team properties, team learning, team adaptation}, title = {Multi-agent system for simulation of team behaviour in product development}, keyword = {Agent-based modelling and simulations, product development teams, emergent team properties, team learning, team adaptation}, publisherplace = {Zagreb} }




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