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Abstract:
The question of measuring intelligence in artifacts and, in particular, evaluating architectures for it, requires not just an understanding of the very nature of intelligence quite elu- sive objective, indeed but an appropriate stance for evalua- tion. In this paper we argue that it is not just the case that architectures provide intelligence, but that they really pro- vide a substrate for intelligent behavior in the execution of a particular task. The measuring-intelligence-for-autonomy position becomes maximally relevant in the context of the in- creased uncertainty levels that the upcoming challenging ap- plications are posing to cognitive architectures. This fits our understanding of intelligence as the capability of maximizing information utility.