Population Protocols that Correspond to Symmetric Games

Computer Science – Computer Science and Game Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

Population protocols have been introduced by Angluin et {al.} as a model of networks consisting of very limited mobile agents that interact in pairs but with no control over their own movement. A collection of anonymous agents, modeled by finite automata, interact pairwise according to some rules that update their states. The model has been considered as a computational model in several papers. Input values are initially distributed among the agents, and the agents must eventually converge to the the correct output. Predicates on the initial configurations that can be computed by such protocols have been characterized under various hypotheses. In an orthogonal way, several distributed systems have been termed in literature as being realizations of games in the sense of game theory. In this paper, we investigate under which conditions population protocols, or more generally pairwise interaction rules, can be considered as the result of a symmetric game. We prove that not all rules can be considered as symmetric games.% We prove that some basic protocols can be realized using symmetric games. As a side effect of our study, we also prove that any population protocol can be simulated by a symmetric one (but not necessarily a game).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Population Protocols that Correspond to Symmetric Games does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Population Protocols that Correspond to Symmetric Games, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Population Protocols that Correspond to Symmetric Games will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-111133

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.