Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Decision Principles to justify Carnap's Updating Method and to Suggest
  Corrections of Probability Judgments (Invited Talks)   This paper uses decision-theoretic principles to obtain new insights into the
assessment and updating of probabilities. First, a new foundation of
Bayesianism is given. It does not require infinite atomless uncertainties as
did Savage s classical result, AND can therefore be applied TO ANY finite
Bayesian network.It neither requires linear utility AS did de Finetti s
classical result, AND r ntherefore allows FOR the empirically AND normatively
desirable risk r naversion.Finally, BY identifying AND fixing utility IN an
elementary r nmanner, our result can readily be applied TO identify methods OF
r nprobability updating.Thus, a decision - theoretic foundation IS given r nto
the computationally efficient method OF inductive reasoning r ndeveloped BY
Rudolf Carnap.Finally, recent empirical findings ON r nprobability assessments
are discussed.It leads TO suggestions FOR r ncorrecting biases IN probability
assessments, AND FOR an alternative r nto the Dempster - Shafer belief
functions that avoids the reduction TO r ndegeneracy after multiple updatings.r
n

12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
7
The categories of this paper are: hep-th
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The categories of this paper are: q-bio
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The categories of this paper are: q-fin
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The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
5
The categories of this paper are: gr-qc
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The categories of this paper are: acc-phys
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The categories of this paper are: supr-con
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The categories of this paper are: chao-dyn
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The categories of this paper are: dg-ga
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The categories of this paper are: atom-ph
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex