Estimating quantities: comparing simple heuristics and machine learning algorithms
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II
Nudging the Trolley in the Supermarket: How to Deliver the Right Information to Shoppers
International Journal of Mobile Human Computer Interaction
Can simple social copying heuristics explain tag popularity in a collaborative tagging system?
Proceedings of the 5th Annual ACM Web Science Conference
Trust and ecological rationality in a computing context
ACM SIGCAS Computers and Society - Selected Papers from The Ninth International Conference on Computer Ethics: Philosophical Enquiry
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"More information is always better, and full information is best. More computation is always better, and optimization is best." More-is-better ideals such as these have long shaped our vision of rationality. Yet humans and other animals typically rely on simple heuristics to solve adaptive problems, focusing on one or a few important cues and ignoring the rest, and shortcutting computation rather than striving for as much as possible. In this book, we argue that in an uncertain world, more information and computation are not always better, and we ask when, and why, less can be more. The answers to these questions constitute the idea of ecological rationality: how we are able to achieve intelligence in the world by using simple heuristics matched to the environments we face, exploiting the structures inherent in our physical, biological, social, and cultural surroundings.