Showing 1 - 10 of 10
New ways of doing things often get started through the actions of a few innovators, then diffuse rapidly as more and more people come into contact with prior adopters in their social network. Much of the literature focuses on the speed of diffusion as a function of the network topology. In...
Persistent link: https://www.econbiz.de/10012539020
Persistent link: https://www.econbiz.de/10012196187
New ways of doing things often get started through the actions of a few innovators, then diffuse rapidly as more and more people come into contact with prior adopters in their social network. Much of the literature focuses on the speed of diffusion as a function of the network topology. In...
Persistent link: https://www.econbiz.de/10014109888
Persistent link: https://www.econbiz.de/10012492553
Persistent link: https://www.econbiz.de/10011654550
We study a model of opinion exchange in social networks where a state of the world is realized and every agent receives a zero-mean noisy signal of the realized state. It is known from Golub and Jackson that under DeGroot \cite{degroot1974reaching} dynamics agents reach a consensus that is close...
Persistent link: https://www.econbiz.de/10013237188
Persistent link: https://www.econbiz.de/10012492561
We study the space-and-time automaton-complexity of the CYCLE-LENGTH problem. The input is a periodic stream of bits whose cycle length is bounded by a known number n. The output, a number between 1 and n, is the exact cycle length. We also study a related problem, CYCLE-DIVISOR. In the latter...
Persistent link: https://www.econbiz.de/10008493941
This work studies the value of two-person zero-sum repeated games in which at least one of the players is restricted to (mixtures of) bounded recall strategies. A (pure) k-recall strategy is a strategy that relies only on the last k periods of history. This work improves previous results...
Persistent link: https://www.econbiz.de/10005596300
Two agents independently choose mixed m-recall strategies that take actions in finite action spaces A1 and A2. The strategies induce a random play, a1,a2,..., where at assumes values in A1 X A2. An M-recall observer observes the play. The goal of the agents is to make the observer believe that...
Persistent link: https://www.econbiz.de/10009195413