Topics in Cognitive Science最新文献_第7页

A Cultural Evolutionary Model for the Law of Abbreviation. 缩略语规律的文化进化模型。

IF 2.9 2区心理学

Topics in Cognitive Science Pub Date : 2024-12-24 DOI: 10.1111/tops.12782

Olivier Morin, Alexey Koshevoy

{"title":"A Cultural Evolutionary Model for the Law of Abbreviation.","authors":"Olivier Morin, Alexey Koshevoy","doi":"10.1111/tops.12782","DOIUrl":"https://doi.org/10.1111/tops.12782","url":null,"abstract":"Efficiency principles are increasingly called upon to study features of human language and communication. Zipf's law of abbreviation is widely seen as a classic instance of a linguistic pattern brought about by language users' search for efficient communication. The \"law\"-a recurrent correlation between the frequency of words and their brevity-is a near-universal principle of communication, having been found in all of the hundreds of human languages where it has been tested, and a few nonhuman communication systems as well. The standard explanation for the law of abbreviation derives from pressures for efficiency: speakers minimize their cumulative effort by using shorter words for frequent occurrences. This explanation, we argue here, fails to explain why long words exist at all. It also fails to explain why the law of abbreviation, despite being robust, is systematically weakened by many short and rare words. We propose an alternative account of the law of abbreviation, based on a simple cultural evolutionary model. Our model does not require any pressure for efficiency. Instead, it derives the law of abbreviation from a general pressure for brevity applying to all words regardless of their frequency. This model makes two accurate predictions that the standard model misses: the correlation between frequency and brevity is consistently weak, and it is characterized by heteroskedasticity, with many short and rare words. We argue on this basis that efficiency considerations are neither necessary nor sufficient to explain the law.","PeriodicalId":47822,"journal":{"name":"Topics in Cognitive Science","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142886290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Processing Fluency and Predictive Processing: How the Predictive Mind Becomes Aware of its Cognitive Limitations. 处理流畅性与预测处理：预测性思维如何意识到自己的认知局限》。

IF 2.9 2区心理学

Topics in Cognitive Science Pub Date : 2024-11-25 DOI: 10.1111/tops.12776

Philippe Servajean, Wanja Wiese

{"title":"Processing Fluency and Predictive Processing: How the Predictive Mind Becomes Aware of its Cognitive Limitations.","authors":"Philippe Servajean, Wanja Wiese","doi":"10.1111/tops.12776","DOIUrl":"https://doi.org/10.1111/tops.12776","url":null,"abstract":"Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning. However, to provide a comprehensive account of learning, one must also explain how the brain learns the structure of its generative model. This second kind of learning is known as structure learning. Structure learning would involve true structural changes in generative models. The purpose of the current paper is to describe the processes involved upstream of these structural changes. To do this, we first highlight the remarkable compatibility between predictive processing and the processing fluency theory. More precisely, we argue that predictive processing is able to account for all the main theoretical constructs associated with the notion of processing fluency (i.e., the fluency heuristic, naïve theory, the discrepancy-attribution hypothesis, absolute fluency, expected fluency, and relative fluency). We then use this predictive processing account of processing fluency to show how the brain could infer whether it needs a structural change for learning the causal regularities at play in the environment. Finally, we speculate on how this inference might indirectly trigger structural changes when necessary.","PeriodicalId":47822,"journal":{"name":"Topics in Cognitive Science","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142717548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Metaphors and the Invention of Writing. 隐喻与写作的发明。

IF 2.9 2区心理学

Topics in Cognitive Science Pub Date : 2024-11-25 DOI: 10.1111/tops.12768

Ludovica Ottaviano, Kathryn Kelley, Mattia Cartolano, Silvia Ferrara

引用次数: 0

Language Production and Prediction in a Parallel Activation Model. 并行激活模型中的语言生成和预测

IF 2.9 2区心理学

Topics in Cognitive Science Pub Date : 2024-11-22 DOI: 10.1111/tops.12775

Martin J Pickering, Kristof Strijkers

引用次数: 0

Simultaneous Hypotheses in Cognitive Agents: Commentary on Paxton, Necaise et al., and the Dynamical Hypothesis in Cognitive Science. 认知代理中的同步假说：评帕克斯顿、内凯斯等人和认知科学中的动态假说》。