• Corpus ID: 16029347

Mutual Exclusivity: Communicative Success Despite Conceptual Divergence

@inproceedings{Smith2005MutualEC,
  title={Mutual Exclusivity: Communicative Success Despite Conceptual Divergence},
  author={Andrew D. M. Smith},
  year={2005}
}
Traditional explanatory accounts of the evolution of language frequently appeal to a “conventional neo-Darwinian process” (Pinker & Bloom 1990: 707), assuming that humans have evolved an innate, genetically-encoded language acquisition device, which specifies a formal coding of Universal Grammar (Chomsky 1965), and which evolved incrementally through a series of steps via natural selection (Jackendoff 2002). An alternative approach focuses instead on the evolution of linguistic structures… 

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References

SHOWING 1-10 OF 38 REFERENCES
Natural language and natural selection
TLDR
There is every reason to believe that a specialization for grammar evolved by a conventional neo-Darwinian process, as well as other arguments and data.
Linguistic Evolution through Language Acquisition: Formal and Computational Models.
TLDR
This book is really two books, which do not communicate with each other once one gets past the editor’s introduction in chapter 1, and which use computer simulation to demonstrate that agents with no innate syntactic structure can interact to create and preserve both the lexicon and syntax of languages over many generations.
Linguistic Evolution Through Language Acquisition: Learning, bottlenecks and the evolution of recursive syntax
TLDR
This chapter formally investigates the interaction of these two unique properties of human language: the way it is learned and its syntactic structure.
Innite Languages, Finite Minds Connectionism, Learning and Linguistic Structure
TLDR
It is suggested that certain kinds of finite state automata—i.e., recurrent neural networks—are likely to have sufficient computational power and the necessary generalization capability, to serve as models for the processing and acquisition of linguistic structure.
Compositional Syntax From Cultural Transmission
TLDR
It is shown that the poverty of the stimulus introduces a pressure for compositional language structure when the authors consider language evolution resulting from iterated observational learning, and a mathematical model is used to map the space of parameters that result in compositional syntax.
Evolving communication through the inference of meaning
TLDR
This thesis develops a solution to the signal redundancy paradox based on the inference of meaning and the disambiguation of potential referents through exposure in multiple contexts, and describes computational models of meaning creation in which agents independently develop individual conceptual structures based on their own experiences of the environment.
Logic and Conversation
As Grice’s enthusiasm for ordinary language philosophy became increasingly qualified during the 1950s, his interest was growing in the rather different styles of philosophy of language then current
Word and Object
TLDR
This edition offers a new preface by Quine's student and colleague Dagfinn Follesdal that describes the never-realized plans for a second edition of Word and Object, in which Quine would offer a more unified treatment of the public nature of meaning, modalities, and propositional attitudes.
Foundations of Language: Brain, Meaning, Grammar, Evolution
Foundations of Language shows one of the most fundamental new thinkings in linguistics since Noam Chomskyis Aspects of the Theory of Syntax in 1965. Foundations of Language opens up vivid new
Intelligent Meaning Creation in a Clumpy World Helps Communication
TLDR
This article investigates the problem of how language learners decipher what words mean and demonstrates that an intelligent meaning creation strategy in a clumpy world leads to the highest level of meaning similarity between agents.
...
...