2014
DOI: 10.1098/rspb.2014.1370
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Animal vocal sequences: not the Markov chains we thought they were

Abstract: Many animals produce vocal sequences that appear complex. Most researchers assume that these sequences are well characterized as Markov chains (i.e. that the probability of a particular vocal element can be calculated from the history of only a finite number of preceding elements). However, this assumption has never been explicitly tested. Furthermore, it is unclear how language could evolve in a single step from a Markovian origin, as is frequently assumed, as no intermediate forms have been found between ani… Show more

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Cited by 98 publications
(112 citation statements)
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References 60 publications
(95 reference statements)
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“…Here we confirm that classical metrics like mean or coefficient of variation are not always sufficient 608 for the study of animal vocal interaction sequences (Kershenbaum et al, 2014). We show that shortterm memory model like Markov can explain vocal exchanges dynamics in a particular context (no 610 visual contact), but long-term memory dynamics should be studied in various contexts in the future.…”
supporting
confidence: 53%
“…Here we confirm that classical metrics like mean or coefficient of variation are not always sufficient 608 for the study of animal vocal interaction sequences (Kershenbaum et al, 2014). We show that shortterm memory model like Markov can explain vocal exchanges dynamics in a particular context (no 610 visual contact), but long-term memory dynamics should be studied in various contexts in the future.…”
supporting
confidence: 53%
“…The finding that gelada vocal sequences show the same negative relationship between the size of the whole construct and the size of its constituents, as is found in human language, suggests that equivalent principles of self-organization (24) underpin the vocal communication of our own species and another primate. Although there are elementary differences between the vocal faculties of humans and of other animals (38-40), exploring and comparing mathematical, structural properties of their communication systems can be informative (26,41). As language is inherently sequence-based and animals of many taxa, from bacteria (42) to great apes (43), combine individual signals into sequences, identifying basic patterns of sequence structure that are shared by human and nonhuman animal communication provides evidence for evolutionary preservation, or convergent evolution, of the processes underlying the emergence of such patterns (41).…”
Section: Discussionmentioning
confidence: 99%
“…Although there are elementary differences between the vocal faculties of humans and of other animals (38-40), exploring and comparing mathematical, structural properties of their communication systems can be informative (26,41). As language is inherently sequence-based and animals of many taxa, from bacteria (42) to great apes (43), combine individual signals into sequences, identifying basic patterns of sequence structure that are shared by human and nonhuman animal communication provides evidence for evolutionary preservation, or convergent evolution, of the processes underlying the emergence of such patterns (41). Importantly, adherence to Menzerath's law need not involve any cognitively demanding planning by the animals producing sequences of sound.…”
Section: Discussionmentioning
confidence: 99%
“…As we will see, the morphology mostly involves simple calls, but in at least one case (Campbell's -oo) we find a root-suffix structure, possibly with a compositional semantics. The syntax is in all clear cases simple and finitestate, and our findings will be extremely modest in this area (see Kershenbaum et al 2014aKershenbaum et al , 2014b for a far more ambitious program in animal syntax). With respect to meaning, nearly all cases of call concatenation can be analyzed without positing any non-trivial semantic operation -each call can be analyzed as a separate utterance.…”
Section: Introductionmentioning
confidence: 99%