Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key
problem in behavioral sciences is how the mind copes with uncertain information. Quantum …

Classical (Bayesian) probability (CP) theory has led to an influential research tradition for
modeling cognitive processes. Cognitive scientists have been trained to work with CP …

In the 1950s, John Reber convinced many Californians that the best way to solve the state's
water shortage problem was to dam up the San Francisco Bay. Against massive political …

Artificial Intelligence federates numerous scientific fields in the aim of developing machines
able to assist human operators performing complex treatments---most of which demand high …

Vector‐based models of word meaning have become increasingly popular in cognitive
science. The appeal of these models lies in their ability to represent meaning simply by …

Ming Li Paul Vitányi Fourth Edition Page 1 An Introduction to Kolmogorov Complexity and Its
Applications Ming Li Paul Vitányi Fourth Edition Texts in Computer Science Page 2 Texts in …

Music perception depends on internal psychological models derived through exposure to a
musical culture. It is hypothesized that this musical enculturation depends on two cognitive …

Short term memory is famously limited in capacity to Miller's (1956) magic number 7±2—or,
in many more recent studies, about 4±1 “chunks” of information. But the definition of “chunk” …

Much of perception, learning and high-level cognition involves finding patterns in data. But
there are always infinitely many patterns compatible with any finite amount of data. How …

The original edition of The Geometry of Musical Rhythm was the first book to provide a
systematic and accessible computational geometric analysis of the musical rhythms of the …