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Delves into the string game, showcasing the limitations of exhaustive testing and the importance of heuristics in problem-solving.
Explores optimization in energy system modeling, covering decision variables, objective functions, and different strategies with their pros and cons.
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.
