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Delves into the string game, showcasing the limitations of exhaustive testing and the importance of heuristics in problem-solving.
Explores cognitive biases, emotions, and language evolution, covering memory failures, decision-making heuristics, and the origins of language.
Explores optimization, simulation, data analysis, and the importance of considering more than just the mean in engineering systems.
Delves into challenges of learning from probabilistic models, covering computational complexity, data reconstruction, and statistical gaps.
Explores transformations into single-objective functions, lexicographic rules, and constrained optimization in optimization and simulation.
