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Logical connectives in natural language: a cultural evolutionary approach

机译:自然语言中的逻辑连接词:一种文化进化方法

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摘要

This thesis attempts to explain the particular selection of the 16 logically possible truth-functional connectives that is found in human language. Only a few of these connectives, such as (AND) and (OR) are expressed using single-morpheme lexicalisations in natural language. Others, such as (NAND) and (IFF) are expressed compositionally, by combining words for other connectives or adding extra phrases specific to language.ududVarious kinds of explanations have been put forward for this observation. Mentalist-cognitive explanations appeal to properties and limitations of the logical reasoning mechanisms of human minds. On the other hand, communicative explanations state that connectives differ in the extent to which they can be pragmatically appropriate or communicatively useful.ududNone of the previous accounts fully answers the research question. Some of the accounts are functionalistic: they propose a cause for language’s particular set of connectives and stop there. What these accounts fail to provide is a clear mechanism that links the proposed causes to language form. The evolutionary accounts propose that cultural evolution be that mechanism. However, these accounts use a representation of language structure that is too impoverished to answer the research question.ududWhat is needed is a model of cultural evolution that addresses language surface structure in sufficient detail. Such an approach is the Iterated Learning Model of the emergence of compositionality by Kirby. This model demonstrates how, as a consequence of the transmission of language across generations of learners, frequent meanings evolve to be represented as irregular holistic phrases, whereas infrequent meanings get compositional representations. The main part of this thesis is devoted to applying this model to the problem of the connectives.ududTwo routes to a frequency distribution of connectives were pursued. The mentalist-cognitive approach remained unsubstantiated as psychological theories of reasoning difficulty were shown to make false predictions about which connectives should be present in language and also unable to provide frequency data in general. More fruitfully, a communicative approach was pursued using a simplified model of human communication. This model consisted of agents aiming to discriminate sets of topic objects from background objects. For this purpose the agents used descriptions involving perceptual properties of the objects, conjoined by the connectives. An exploratory analysis was done of the variables influencing the frequencies of the connectives in this simulation.ududAnalysis of the simulation results revealed a hierarchy among the 16 connectives with respect to a property of specificity, familiar from Gricean pragmatics. It was shown that in a number of situations that are, within the limited bounds of the reality of the simulation, the ones most reminiscent of human communicative situations, (AND) and (OR) are the connectives most frequently used by the agents, because they are the ones that conform best to Grice’s Maxim of Quantity. More research is needed on the external validity of the communication model used, however.ududA concrete application of Kirby’s model proved a bridge too far, as the model simulates the emergence of a different kind of combinatoriality than is found with connectives. Changes need to be made to the learning mechanisms implemented in this model in order to apply it to the case at hand.ududDespite the lack of the desired conformation by a computer simulation, connective frequency looks like a strong candidate for an explanation of language’s set of single-morpheme logical connectives. In particular, Zipf’s principle of least effort is likely to favour a system in which the most frequently needed connectives are realised as single morphemes from which all others are derived. The communication simulation in this thesis suggests that those most frequent connectives may well be (AND) and (OR) or (XOR), because of their usefulness in the communicative situations that humans tend to find themselves in.
机译:本文试图解释在人类语言中发现的16种在逻辑上可能的真函数连接词的特殊选择。仅使用自然语言中的单词素词汇化来表达这些连接词中的少数几个,例如(AND)和(OR)。其他语言,例如(NAND)和(IFF),是通过组合其他连接词的单词或添加特定于语言的短语来组成的。 ud ud为此观察提出了多种解释。心理学家认知的解释吸引了人类思维逻辑推理机制的特性和局限性。另一方面,交际性解释指出,连接词在实用上适当或在交际上有用的程度有所不同。 ud ud先前的叙述都没有完全回答研究问题。有些说法是实用主义的:它们为语言的特殊连接词提出了原因,并在此止步。这些说明无法提供的是一种将提议的原因与语言形式相关联的明确机制。进化论认为,文化进化就是这种机制。但是,这些描述使用的语言结构表示形式过于贫困,无法回答研究问题。 ud ud需要的是一种文化进化模型,可以足够详细地解决语言表面结构。这种方法是Kirby提出的组合性的迭代学习模型。该模型演示了由于语言在跨代学习者中的传播,如何将频繁的意义演变为不规则的整体短语,而将不频繁的意义变为组成表达。本文的主要部分致力于将该模型应用于连接词的问题。 ud ud寻求两条通往连接词频率分布的途径。心理学家的认知方法仍然没有得到证实,原因是推理困难的心理学理论被证明对应该在语言中出现哪些连接词做出了错误的预测,并且通常也无法提供频率数据。更富有成效的是,人们使用简化的人类交流模型追求一种交流方法。该模型由旨在区分主题对象集和背景对象集的代理组成。为此,代理使用了涉及对象的感知属性的描述,这些描述由连接词联合而成。对影响该连接词频率的变量进行了探索性分析。结果表明,在许多情况下,在模拟现实的有限范围内,最让人联想到人类交流情况的(AND)和(OR)是代理最常使用的连接词,因为它们是最符合Grice的数量准则的。 ud ud柯比(Kirby)模型的具体应用证明了一座桥梁,因为该模型模拟了与连接词不同的组合性,因此,需要进一步研究。为了对该模型中实现的学习机制进行更改,以便将其应用于当前情况。 ud ud尽管没有通过计算机仿真获得所需的构象,但结缔频率似乎很可能是解释该现象的一个强有力的候选者语言的单词素逻辑连接词集。特别是Zipf的“省力原则”很可能会支持这样一种系统,在该系统中,最需要的连接词被实现为单个词素,所有其他词素都从该词素导出。本文中的交流模拟表明,那些最频繁的连接词很可能是(AND)和(OR)或(XOR),因为它们在人类倾向于发现自己的交流环境中很有用。

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    van Wijk Maarten;

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  • 年度 2006
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  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
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