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Titlebook: Artificial Intelligence, Learning and Computation in Economics and Finance; Ragupathy Venkatachalam Book 2023 The Editor(s) (if applicable

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https://doi.org/10.1007/978-1-4615-5689-3. When these metrics are applied, uncertainty is commonly located in methods, algorithms, models or incomplete data. But reality is noisy, incomplete and uncertain. To function in reality, metrics for the design and performance of a team or an organization as presently constituted have to be transfo
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https://doi.org/10.1007/978-1-4615-5689-3he iterated Prisoner’s Dilemma (IPD), applied a new method of machine learning (the genetic algorithm, or GA) to this, extended these techniques to trying to understand and improve on asymmetrical seller behaviour in historical oligopoly pricing, generalised this to fully fledged agent-based models
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Deep clustering techniques: synthesis,chnically advanced systems. Notably, it does not explicate how the development requires decomposition into subsystems and subsequent distribution of tasks over domain experts. In addition, it has an immutable “outer environment” spanning requirements and thus does not address how development iterate
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https://doi.org/10.1007/978-3-031-15294-8Agent-based modelling; Computational behavioral economics; Agent-Based Scarf economics; Agent-Based mac
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978-3-031-15296-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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