On the Evolution of Imitative Behavior
We analyze the evolution of behavioral rules for learning how to play a two-armed bandit. Individuals have no information about the underlying pay-off distributions and have limited memory about their own past experience. Instead they must rely on information obtained trough observing the performance of other individuals. Evolution is modelled using the replicator dynamic with the revision behaviors as replicators. We find that evolution favors a special class of imitative rules. These so-called strictly improving rules, that also play an important role in a bounded rational selection approach (Schlag ), are found to be neutrally stable when facing any two-armed bandit.
|Date of creation:||Jul 1996|
|Date of revision:|
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- Schlag, Karl H., 1998.
"Why Imitate, and If So, How?, : A Boundedly Rational Approach to Multi-armed Bandits,"
Journal of Economic Theory,
Elsevier, vol. 78(1), pages 130-156, January.
- Karl H. Schlag, 1995. "Why Imitate, and if so, How? A Bounded Rational Approach to Multi-Armed Bandits," Discussion Paper Serie B 361, University of Bonn, Germany, revised Mar 1996.
- Schlag, Karl H., 1994. "Why Imitate, and if so, How? Exploring a Model of Social Evolution," Discussion Paper Serie B 296, University of Bonn, Germany.
- Karl H. Schlag, . "Why Imitate, and if so, How? A Bounded Rational Approach to Multi- Armed Bandits," ELSE working papers 028, ESRC Centre on Economics Learning and Social Evolution.
- E. Dekel & S. Scotchmer, 2010.
"On the Evolution of Optimizing Behavior,"
Levine's Working Paper Archive
434, David K. Levine.
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