title: Seeking Synthesis: The Integrative Problem in Understanding Language and Its Evolution.
abstract: We discuss two problems for a general scientific understanding of language, sequences and synergies: how language is an intricately sequenced behavior and how language is manifested as a multidimensionally structured behavior. Though both are central in our understanding, we observe that the former tends to be studied more than the latter. We consider very general conditions that hold in human brain evolution and its computational implications, and identify multimodal and multiscale organization as two key characteristics of emerging cognitive function in our species. This suggests that human brains, and cognitive function specifically, became more adept at integrating diverse information sources and operating at multiple levels for linguistic performance. We argue that framing language evolution, learning, and use in terms of synergies suggests new research questions, and it may be a fruitful direction for new developments in theory and modeling of language as an integrated system.
authors.affiliation: Cognitive & Information Sciences, University of California, Merced.
authors.forename: Rick
authors.initials: R
authors.lastname: Dale
authors.affiliation: Cognitive & Information Sciences, University of California, Merced.
authors.forename: Christopher T
authors.initials: CT
authors.lastname: Kello
authors.affiliation: Department of Anthropology, Indiana University.
authors.forename: P Thomas
authors.initials: PT
authors.lastname: Schoenemann
mesh_terms: D005075:Biological Evolution; D001921:Brain / Q000502:physiology*; D003071:Cognition; D032882:Comprehension / Q000502:physiology*; D006801:Humans; D007802:Language; D007858:Learning / Q000502:physiology*; D008037:Linguistics
keywords: Brain evolution; Dynamics; Language evolution; Multimodal; Neural networks