Bibliography

(eng): Prescriptive Bayesian decision making has reached its maturity and is supported by efficient, theoretically well-founded algorithms. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent is such imperfect decision making that it should be accepted as an inherent feature of real decision makers living within interacting societies. Such societies have been investigated from an economic and game-theoretic perspective but little work has been done from the perspective of computer science, machine learning, information theory and neuroscience. The workshop Decision Making with Multiple Imperfect Decision Makers, held after the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010) was a step in bringing such alternative viewpoints to bear on the topic of understanding societies of imperfect decision makers.