This work focuses on explaining both grammatical universals of word order and quantitative word-order preferences in usage by means of a simple efficiency principle: dependency …
Memory limitations are known to constrain language comprehension and production, and have been argued to account for crosslinguistic word order regularities. However, a …
A stochastic process' statistical complexity stands out as a fundamental property: the minimum information required to synchronize one process generator to another. How much …
Even simply defined, finite-state generators produce stochastic processes that require tracking an uncountable infinity of probabilistic features for optimal prediction. For processes …
Predictive rate-distortion analysis suffers from the curse of dimensionality: clustering arbitrarily long pasts to retain information about arbitrarily long futures requires resources …
As we discuss, a stationary stochastic process is nonergodic when a random persistent topic can be detected in the infinite random text sampled from the process, whereas we call the …
We present two examples of finite-alphabet, infinite excess entropy processes generated by stationary hidden Markov models (HMMs) with countable state sets. The first, simpler …
Written language is complex. A written text can be considered an attempt to convey a meaningful message which ends up being constrained by language rules, context …
Z Peng, T Genewein, DA Braun - Frontiers in human neuroscience, 2014 - frontiersin.org
Complexity is a hallmark of intelligent behavior consisting both of regular patterns and random variation. To quantitatively assess the complexity and randomness of human …