منابع مشابه
A Self-Organizing Spatial Vocabulary
Language is a shared set of conventions for mapping meanings to utterances. This paper explores self-organization as the primary mechanism for the formation of a vocabulary. It reports on a computational experiment in which a group of distributed agents develop ways to identify each other using names or spatial descriptions. It is also shown that the proposed mechanism copes with the acquisitio...
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Spatial hypertext systems use physical properties as color, dimensions, and position to represent relationships between documents. These systems allows the user to express a lot of different relationships between information but the structure should be build by hand by the user. This can be complex if a large number of information is involved. Self-organizing neural networks map can automatical...
متن کاملVocabulary Development in English and Chinese: A Comparative Study with Self-Organizing Neural Networks
In this paper we present a self-organizing neural network model to simulate the early vocabulary development in English and Chinese. We focus on how the different lexical composition patterns in the two languages can emerge, develop and change when the learner acquires an increasing number of words. Our results suggest that certain lexical characteristics in the linguistic input (e.g., word fre...
متن کاملSelf-Organizing Spatial Shapes in Mobile Particles: The TOTA Approach
We present a programming approach to let a multitude of simple mobile computational “particles” (i.e. sorts of tiny mobile robots) to self-organize their respective locations to assume a coherent global formation (i.e. shape). The problem has a variety of applications in mobile robotics, modular robots, sensor networks, and computational self-assembly. Here we show how the TOTA ("Tuples On The ...
متن کاملIterativeSOMSO: An Iterative Self-organizing Map for Spatial Outlier Detection
In this paper, we propose an iterative self-organizing map approach for spatial outlier detection (IterativeSOMSO). IterativeSOMSO method can address high dimensional problems for spatial attributes and accurately detect spatial outliers with irregular features. Detection of spatial outliers facilitates further discovery of spatial distribution and attribute information for data mining problems...
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ژورنال
عنوان ژورنال: Artificial Life
سال: 1995
ISSN: 1064-5462,1530-9185
DOI: 10.1162/artl.1995.2.3.319