Abductive Reasoning Optimization Using Recurrent Neural Networks
Emad Andrews
Broschiertes Buch

Abductive Reasoning Optimization Using Recurrent Neural Networks

Theory, solution architecture and implementation techniques

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Reasoning under uncertainty is a unique capability of human beings. Reasoning under uncertainty in AI is concerned with automated reasoning using contradicting or inconsistent information. That requires using more expressive forms of logic like higher-order logic, or using numeric representations for uncertainty like Bayesian Networks (BN), or Cost-Based Abduction (CBA). Abduction is Inference to the best explanation which may result in many explanations. CBA is an important AI formalism for representing knowledge under uncertainty to enable us to choose among those explanations. In CBA, the d...