Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine learning and behavioral economics for personalized choice
  architecture   Behavioral economics changed the way we think about market participants and
revolutionized policy-making by introducing the concept of choice architecture.
However, even though effective on the level of a population, interventions from
behavioral economics, nudges, are often characterized by weak generalisation as
they struggle on the level of individuals. Recent developments in data science,
artificial intelligence (AI) and machine learning (ML) have shown ability to
alleviate some of the problems of weak generalisation by providing tools and
methods that result in models with stronger predictive power. This paper aims
to describe how ML and AI can work with behavioral economics to support and
augment decision-making and inform policy decisions by designing personalized
interventions, assuming that enough personalized traits and psychological
variables can be sampled.

9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
32
The categories of this paper are: atom-ph
33
The categories of this paper are: plasm-ph
8
The categories of this paper are: hep-ex
5
The categories of this paper are: gr-qc
31
The categories of this paper are: ao-sci
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an