Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Abstract representations of events arise from mental errors in learning
  and memory   Humans are adept at uncovering abstract associations in the world around
them, yet the underlying mechanisms remain poorly understood. Intuitively,
learning the higher-order structure of statistical relationships should involve
complex mental processes. Here we propose an alternative perspective: that
higher-order associations instead arise from natural errors in learning and
memory. Combining ideas from information theory and reinforcement learning, we
derive a maximum entropy (or minimum complexity) model of people's internal
representations of the transitions between stimuli. Importantly, our model (i)
affords a concise analytic form, (ii) qualitatively explains the effects of
transition network structure on human expectations, and (iii) quantitatively
predicts human reaction times in probabilistic sequential motor tasks.
Together, these results suggest that mental errors influence our abstract
representations of the world in significant and predictable ways, with direct
implications for the study and design of optimally learnable information
sources.

12
The categories of this paper are: nucl-th
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
32
The categories of this paper are: atom-ph
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
37
The categories of this paper are: supr-con
22
The categories of this paper are: chao-dyn
13
The categories of this paper are: quant-ph
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th