Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Quantitative Predictions in Quantum Decision Theory   Quantum Decision Theory, advanced earlier by the authors, and illustrated for
lotteries with gains, is generalized to the games containing lotteries with
gains as well as losses. The mathematical structure of the approach is based on
the theory of quantum measurements, which makes this approach relevant both for
the description of decision making of humans and the creation of artificial
quantum intelligence. General rules are formulated allowing for the explicit
calculation of quantum probabilities representing the fraction of decision
makers preferring the considered prospects. This provides a method to
quantitatively predict decision-maker choices, including the cases of games
with high uncertainty for which the classical expected utility theory fails.
The approach is applied to experimental results obtained on a set of lottery
gambles with gains and losses. Our predictions, involving no fitting
parameters, are in very good agreement with experimental data. The use of
quantum decision making in game theory is described. A principal scheme of
creating quantum artificial intelligence is suggested.

23
The categories of this paper are: solv-int
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
8
The categories of this paper are: hep-ex
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an