Traditionally, models of complexity used in psychology have been based on probabilistic
and algorithmic paradigms. While these models have inspired a great deal of research, they …

Traditionally, theories of complexity used in psychology have been based on geometric,
probabilistic, and algorithmic paradigms. While these have been useful in highlighting the …

Given that complexity is critical for psychological processing, it is somewhat surprising that
the field was dominated for a long time by probabilistic methods that focus on the …

Readers of TopiCS are invited to join a debate about the utility of ideas and methods of
complexity science. The topics of debate include empirical instances of qualitative change in …

In this chapter, we explain why psychological complexity is (or should be) of interest to the
designers of human computer systems. We then distinguish between intrinsic complexity …

It has been shown that computational hardness of cognitive tasks affects people's effort and
ability to solve problems reliably. However, prior empirical studies lack generality. They …

Bridging Psychology and Mathematics: Can the Brain Understand the Brain? | PLOS Biology
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This research investigates the import and utility of computational complexity theory in
cognitive psychology. A common conception in cognitive psychology is that a cognitive …

In life, we often face unavoidable complexities in terms of our ability to understand or
influence outcomes. Some questions which arise due to these complexities are: Why can't …

We present a statistical account of human randomness judgments that uses the idea of
algorithmic complexity. We show that an existing measure of the randomness of a sequence …