Michalis Drouvelis and Julian C. Jamison Abstract: The authors extend the standard public goods game in a variety of ways, in particular by allowing for endogenous preference over institutions and by studying the relationship between individual types, their preferences, and later behavior within the various institutional environments. They collect individual data on a variety of demographic fac...

We present a new learning algorithm that leverages oscillations in the strength of neural inhibition to train neural networks. Raising inhibition can be used to identify weak parts of target memories, which are then strengthened. Conversely, lowering inhibition can be used to identify competitors, which are then weakened. To update weights, we apply the Contrastive Hebbian Learning equation to ...

An adaptive threshold element is able to "learn" a strategy of play for the game blackjack (twenty-one) with a performance close to that of the Thorp optimal strategy although the adaptive system has no prior knowledge of the game and of the objective of play. After each winning game the decisions of the adaptive system are "rewarded." After each losing game the decisions are "punished." Reward...

Working papers are in draft form. This working paper is distributed for purposes of comment and discussion only. It may not be reproduced without permission of the copyright holder. Copies of working papers are available from the author. Acknowledgments We thank Nicholas P. Lovrich and the Division of Government Studies and Services at Washington State University for the opportunity to work wit...