Industrialised, Integrated, Intelligent sustainable Construction - I3con
Industrialised, Integrated, Intelligent sustainable Construction - I3con
Industrialised, Integrated, Intelligent sustainable Construction - I3con
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