Human Cognitive Processing (vols. 1–51, 1998–2015)
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Human Cognitive Processing (vols. 1–51, 1998–2015)
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Collection Contents
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Analogy as Structure and Process
show More to view fulltext, buy and share links for: show Less to hide fulltext, buy and share links for:The concept of analogy is of central concern to modern cognitive scientists, whereas it has been largely neglected in linguistics in the past four decades. The goal of this thought-provoking book is (1) to introduce a cognitively and linguistically viable notion of analogy; and (2) to re-establish and build on traditional linguistic analogy-based research.
As a starting point, a general definition of analogy is offered that makes the distinction between analogy-as-structure and analogy-as-process.
Chapter 2 deals with analogy as used in traditional linguistics. It demonstrates how phonology, morphology, syntax, semantics, and diachronic linguistics make use of analogy and discusses linguistic domains in which analogy does or did not work. The appendix gives a description of a computer program, which performs such instances of analogy-based syntactic analysis as have long been claimed impossible.
Chapter 3 supports the ultimate (non-modular) ‘unity of the mind’ and discusses the existence of pervasive analogies between language and such cognitive domains as vision, music, and logic.
The final chapter presents evidence for the view that the cosmology of every culture is based on analogy.
At a more abstract level, the role of analogy in scientific change is scrutinized, resulting in a meta-analogy between myth and science.
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Analogical Modeling
show More to view fulltext, buy and share links for: show Less to hide fulltext, buy and share links for:Analogical Modeling (AM) is an exemplar-based general theory of description that uses both neighbors and non-neighbors (under certain well-defined conditions of homogeneity) to predict language behavior. This book provides a basic introduction to AM, compares the theory with nearest-neighbor approaches, and discusses the most recent advances in the theory, including psycholinguistic evidence, applications to specific languages, the problem of categorization, and how AM relates to alternative approaches of language description (such as instance families, neural nets, connectionism, and optimality theory). The book closes with a thorough examination of the problem of the exponential explosion, an inherent difficulty in AM (and in fact all theories of language description). Quantum computing (based on quantum mechanics with its inherent simultaneity and reversibility) provides a precise and natural solution to the exponential explosion in AM. Finally, an extensive appendix provides three tutorials for running the AM computer program (available online).
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