12.02.2013 Views

Industrialised, Integrated, Intelligent sustainable Construction - I3con

Industrialised, Integrated, Intelligent sustainable Construction - I3con

Industrialised, Integrated, Intelligent sustainable Construction - I3con

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

SUSTAINABLE CONSTRUCTION HANDBOOK 2<br />

Figure 3. Gaming logic for Prisoner’s Dillema model<br />

Figure 3 illustrates prisoner’s dillema logic. It typifies players at the two ends of data exchange in a<br />

typical integrated system. Players represent active data generators and users in construction project<br />

development processes. This include professional handlers of construction and facilities management<br />

processes, clients and project policy influencers – especially in project packaging. The Prisoner’s<br />

Dillema model described in Figure 3 above has been used frequently in different scenarios in<br />

construction processes. (Saxby 2004) explored its aplication in construction procurement, while<br />

(Gruneberg and Hughes 2006) used it to mirror collaboration in construction consortia relationships.<br />

In theory, it is applicable when players must adopt definitive position on collaboration in the face of<br />

risks and uncertainties. The application of this in the design and BIM industries is that when all<br />

parties (intra-relationships between project development and management consultants and the<br />

capacity to extend this extrinsically to clients) cooperate to facilitate collaboration in integrated<br />

systems, all parties benefit in improved service delivery and systemic savings or benefits of BIM.<br />

However, when a party refuses to cooperate whether due to technical or economic reasons, this party<br />

benefits more in the short run than the party that is committed to the pricinples of collaboration. When<br />

both party remain committed to self interest against collaboration, both party benefit according to<br />

quality of their commitment and the focus of industry standard.<br />

Pareto-Optima<br />

Pareto-optima is popularly conceptualised on the result of the early works of an Italian economist and<br />

sociologist, Vilfredo Pareto (1848 - 1923). It is often used in gaming scenarios to demonstrate<br />

effective allocation of resources. (Bass and Ndekugri 2003) have exemplified this model breaking<br />

even in dispute negotiation. In practice, both parties are well-off when they cooperate maximally. It<br />

may appear as if one of the parties (the party that contributes least to the common course at first)<br />

benefits more more in the short run, however in the long run, that party will emerge as the most<br />

valuable contributor, even though the system is stable and balanced as all players benefit evenly.<br />

Moreover, there is no way a party will be better off in the common course without the other party<br />

being worse-off. This is because, on the one hand, the party that cooperates benefits more, while the<br />

party that defects is worse of. When they both defect, they are both worse-off. On the other hand, if<br />

things fall apart in the course of cooperation, the party that would have benefitted if the cooperation<br />

had worked out well will be worse off.<br />

102<br />

Player B<br />

Cooperate<br />

Defect<br />

±<br />

‐<br />

‐<br />

Player A<br />

Cooperate Defect<br />

±<br />

±<br />

+<br />

+<br />

+<br />

+<br />

+<br />

+<br />

‐<br />

‐<br />

+<br />

+<br />

Legends<br />

± Both parties benefit<br />

+ The party benefits<br />

‐ The party losses

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!