Rival rewarded and randomly rewarded rival competitive learning

This paper introduces two new competitive learning paradigms, namely rival rewarded and randomly rewarded rival competitive learning. In both cases, the winner is rewarded as in the classical competitive learning. In the rival rewarded case, the nearest rival can be rewarded in a number of ways. In the second case, the rival is randomly rewarded or penalised by a number of ways. For both paradigms, it is shown experimentally that they behave similarly to the rival penalised competitive learning