Inductive Learning in Small and Large Worlds.
The article focuses on development of the mathematical and philosophical foundations of inductive learning. Topics discussed include existence of Bayesian solutions for inductive learning in large worlds, possibility of sequence of states of nature to be a stationary Markov chain, and unavailability...
| Publicado en: | Philosophy & Phenomenological Research Vol. 95; no. 1; pp. 90 - 117 |
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| Formato: | Artículo |
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Wiley-Blackwell
Jul2017
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| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | The article focuses on development of the mathematical and philosophical foundations of inductive learning. Topics discussed include existence of Bayesian solutions for inductive learning in large worlds, possibility of sequence of states of nature to be a stationary Markov chain, and unavailability of conceptual resources to make inferences for reinforcement learning. |
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