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Learning Agents with Evolving Hypothesis Classes

Date

Authors

Sunehag, Peter

Hutter, Marcus

Publisher

Springer-Verlag Berlin Heidelberg

Abstract

It has recently been shown that a Bayesian agent with a universal hypothesis class resolves most induction problems discussed in the philosophy of science. These ideal agents are, however, neither practical nor a good model for how real science works. We

Keywords

Keywords: Bayesian Agents; Cognitive science; Learning agents; Philosophy of science; Sampling process; Cognitive systems; Intelligent agents; Ontology

URI

http://hdl.handle.net/1885/65759

Collections

ANU Research Publications

Source

Learning Agents with Evolving Hypothesis Classes

Type

Conference paper

DOI

10.1007/978-3-642-39521-5_16

Restricted until

2037-12-31

Downloads

File

Description

01_Sunehag_Learning_Agents_with_Evolving_2013.pdf (167.33 KB)

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