We analyze the Iterated Prisoner’s Dilemma and the performance of GRADUAL, the best behavior found so far. This behavior has the undesirable property of permanent memory, which would be detrimental for stability. As a solution to the permanent memory problem, we propose an adaptive tit-for-tat behavior that uses a self-regulated estimate of the opponent’s friendliness. On a second level, we dem...

In this paper we propose and study a theory of adaptive consumption behavior under income uncertainty and liquidity constraints. We assume that consumption is governed by a linear function of wealth, whose coefficients are revised each period by a procedure, which, although sophisticated, places few informational or computational demands on the consumer. We show that under a variety of settings...

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...