Takashi Hashimoto and Takashi Ikegami Institute of Physics, College of Arts...  Home/Search
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Abstract: Evolution of symbolic language and grammar is studied in a network model. Language is expressed by words, i.e. strings of symbols, which are generated by agents with their own symbolic grammar system. Agents communicate with each other by deriving and accepting words in terms of their own grammar. They are ranked according to their communicative effectiveness: an agent which can derive less frequent and less acceptable words and accept words in less computational time will have higher scores.... (Update)
Context of citations to this paper: More
...compositional indexical recursive Fig. 1. Results from a model of the evolution of language in a population of agents, based on [8]. Agents language capabilities are represented with context free grammars. Agents get scores for successfully communicating with each other....
...to acquire its parents language with the required delity q. 3 3 A life models We argue that computational models that we [9] and others [2] have studied t the general format of equation 1 well, but di er signi cantly in the particular choices for the representation of...
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BibTeX entry: (Update)
Hashimoto, T. and Ikegami, T., (1996), Emergence of net-grammar in communicating agents, BioSystems, 38,1--14 http://citeseer.ist.psu.edu/hashimoto96emergence.html More
@misc{ hashimoto96emergence,
author = "T. Hashimoto and T. Ikegami",
title = "Emergence of net-grammar in communicating agents",
text = "Hashimoto, T. and Ikegami, T., (1996), Emergence of net-grammar in communicating
agents, BioSystems, 38,1--14",
year = "1996",
url = "citeseer.ist.psu.edu/hashimoto96emergence.html" }
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