Nowak, M. A., & Krakauer, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA, 96, 8028-8033. Home/Search Document Not in Database Summary Related Articles Check |
This paper is cited in the following contexts:
On the Relevance of Language Evolution Models for Cognitive.. - Zuidema, Westermann (2001) (Correct)
....that was outlined above and first derive what would be the optimal lexicon , i.e. the lexicon that leads to the highest communicative success in the population. To do so, we need a measure for communicative success. Such a measure is presented next; a similar formalism was used in (Hurford, 1989; Nowak Krakauer, 1999; De Jong, 2000, and other papers) The next step then is to evaluate numerically if the collective dynamics can lead to such an optimal situation. We denote with S i ( f jm) the probability that an agent i uses form f to express meaning m. Similarily, R i (mj f ) is the probability that ....
NOWAK, M. A. & KRAKAUER, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA 96, 8028--8033.
Social Patterns Restrict Evolving Grammars (stageverslag) - Zuidema (1999) (Correct)
....papers reports on the model presented by Hashimoto Ikegami (1996) that studies evolution of rewriting grammars. Batali (1994) studied a system of agents with simple recurrent neural networks, in which evolution leads to innate biases that enable agents to efficiently learn recursive languages. Nowak Krakauer (1999) formulated a mathematical model, that shows that compositionality can help overcome an error limit on 2 successful communication, and thus should be expected to be selectively advantageous. 1.3 genetic transmission Proponents of the genetic transmission scenario, view evolution of language as ....
NOWAK, M. A. & KRAKAUER, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA 96, 8028-- 8033.
Social Patterns Guide Evolving Grammars - Zuidema, Hogeweg (2000) (Correct)
....expressiveness with the limitations in human learning and memory. This aspect is, in the traditional view, what makes syntax selectively advantageous, and caused the transition from an extensive non syntactical protolanguage to a more efficient, syntactical language system (Pinker Bloom, 1990; Nowak Krakauer, 1999). We study this transition in a computational model of an evolving population of communicating agents. The main advantages of computational and mathematical models such as (Hurford, 1989; Steels, 1997; Hashimoto Ikegami, 1996; Nowak Krakauer, 1999) are that they are relatively precise and ....
....language system (Pinker Bloom, 1990; Nowak Krakauer, 1999) We study this transition in a computational model of an evolving population of communicating agents. The main advantages of computational and mathematical models such as (Hurford, 1989; Steels, 1997; Hashimoto Ikegami, 1996; Nowak Krakauer, 1999), are that they are relatively precise and productive, in the sense that they generate new concepts and hypotheses. The main contribution so far is that they have shown the plausibility of 1 Present address: Sony CSL, 6, Rue Amyot, 75005, Paris, France; webpage: www binf.bio.uu.nl jelle ....
NOWAK, M. A. & KRAKAUER, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA 96.
Selective Advantages of Syntactic Language - a Model Study - Zuidema, Hogeweg (2000) (1 citation) (Correct)
....parts of language are innate, some are learned view. Computational modeling Recent work that studied such interactions in computational models has produced a wealth of new hypotheses and insights (Hurford, 1989; Hashimoto Ikegami, 1996; Batali, 1997; Steels, 1997; De Boer, 1999; Kirby, 2000; Nowak Krakauer, 1999; Hurford, 2000) Such models are relatively precise implementations of the underlying set of assumptions, and allow one to evaluate the internal coherence of such a set. Moreover, they are productive, in the sense that they often show unexpected behaviors that help to generate new hypotheses and ....
....(the in nite I language ) is transmitted culturally (via a nite E language ) from one agent to another. This transmission bottleneck works as a lter, in which syntactic elements of language typically out compete non syntactic elements, because the former are inherently used more often. Nowak Krakauer (1999) studied a game theoretic model of language evolution and identify a di erent mechanism that can account for the emergence of syntax. Using the matrix representations of Hurford (1989) they infer a linguistic error limit . Given that an individual makes mistakes in distinguishing sounds with a ....
Nowak, M. A. & Krakauer, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA 96, 8028-8033.
The Evolutionary Dynamics of Grammar Acquisition - Komarova, Niyogi, Nowak (2001) (1 citation) Self-citation (Nowak) (Correct)
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NOWAK,M.A.&KRAKAUER, D. C. (1999). The evolution of language. Proc. Natl Acad. Sci ;.S.A. 96, 8028}8033.
Natural Selection of the Critical Period for Language.. - Komarova, Nowak Self-citation (Nowak) (Correct)
....during life history in terms of survival probability or reproductive success. Individuals who communicate successfully leave more ospring (thus the factors f in equations (1) and (2) who in turn learn their language. This puts the problem of grammar acquisition in an evolutionary context (Nowak Krakauer 1999; Nowak et al. 1999, 2000) Finally, the quantity in equations (1) and (2) is the average tness of the population. It is the average probability that a sentence said by one person is understood by another person (or the grammatical coherence) weighted by the individuals reproductive rate: n ....
....in terms of survival probability or reproductive success. Individuals who communicate successfully leave more ospring (thus the factors f in equations (1) and (2) who in turn learn their language. This puts the problem of grammar acquisition in an evolutionary context (Nowak Krakauer 1999; Nowak et al. 1999, 2000) Finally, the quantity in equations (1) and (2) is the average tness of the population. It is the average probability that a sentence said by one person is understood by another person (or the grammatical coherence) weighted by the individuals reproductive rate: n j1 (r(b 1 )f ....
Nowak, M. A. & Krakauer, D. C. 1999 The evolution of language. Proc. Natl Acad. Sci. USA 96, 8028^8033.
On The Emergence Of Compositionality - Joachim De Beule (2006) (Correct)
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Nowak, M. A., & Krakauer, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA, 96, 8028-8033.
A cross-situational strategy for damping homonymy in The.. - Joachim De Beule (Correct)
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Nowak, M. A. and Krakauer, D. C. (1999). The evolution of language. Proc. Nat. Acad. Sci. USA, 96:8028--8033.
A Distributed Learning Algorithm for Communication Development - de Jong, Steels (Correct)
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Martin A. Nowak and David C. Krakauer, "The Evolution of Language, " in Proceedings of the National Academy of Sciences of the United States of America, 96 (1999) 8028--8033.
Evolution of Conventional Meaning and Conversational Principles - van Rooy (Correct)
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Nowak, M. and D. Krakauer (1999), `The evolution of language', Proc. Natl. Acad. Sci. U.S.A., 96: 8028-8033.
Signalling games select Horn strategies - van Rooy (Correct)
No context found.
Novak, M. and D. Krakauer (1999), `The evolution of language', Proc. Natl. Acad. Sci. USA, 96: 8028-8033.
The Evolution of Speech: A Comparative Review - Fitch (2000) (2 citations) (Correct)
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Nowak, M.A. and Krakauer, D.C. (1999) The evolution of language. Proc. Natl. Acad. Sci. U. S. A. 96, 8028--8033
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