Emergent Properties of Complex Systems evolve through interactions between components of a complex system. How do we define them using applying game theory for both competitive and non-competitive games ?
I feel imperfect information, non-zero sum meta-games are more suitable for CAS modelling. Another consideration would be if you'd model the system itself as a player among others.
Game Theory implies rationality, though. One of the pros of CAS is that it accomodates randomness. So it might be tricky to put them together in the first place.
Dear Gokul. I think that here is a conceptual problem. Emergent properties arise in the system from interactions agent-agent and agent-environment when the time pass . You can modelling a system in this way through simulation, but I do not see it possible to model the emergent properties themselves, these properties sprout, you model micro-specifications that allow macro-pattern. Therefore, Game Theory does not look like the tool for this purpose.
Best regards,
MCM
Incomplete Contract Theory (Nobel Prize 2016 in Economics) takes a view that as for unforeseen contingencies (which could be emergent), we cannot specify them ex ante, and so cannot design (and commit) elaborate arrangements (contracts, mechanisms) ex ante, including how to deal with them. Instead, ex post, that is, after emergency events actually occurred, those who have decision rights determine how to deal with them. So, it would be important who determines (who has the decision right) when emergency events occurred. For example, "Government" would determine various important things when (unforeseen) emergency disasters occurred. Incomplete Contract Theory can use both cooperative and non-cooperative games in its game theoretical modelling. This is just a quick response. Best wishes.
- Badges
- Science topic
- Similar topics
- Computer Communications (Networks)
- Simulators