Cognitive Systems Research最新文献_第10页

WordIllusion: An adversarial text generation algorithm based on human cognitive system WordIllusion:基于人类认知系统的对抗性文本生成算法

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-10-30 DOI: 10.1016/j.cogsys.2023.101179

Haoran Fu , Chundong Wang , Jiaqi Sun , Yumeng Zhao , Hao Lin , Junqing Sun , Baixue Zhang

{"title":"WordIllusion: An adversarial text generation algorithm based on human cognitive system","authors":"Haoran Fu , Chundong Wang , Jiaqi Sun , Yumeng Zhao , Hao Lin , Junqing Sun , Baixue Zhang","doi":"10.1016/j.cogsys.2023.101179","DOIUrl":"https://doi.org/10.1016/j.cogsys.2023.101179","url":null,"abstract":"<div><p>Although natural language processing technology has shown strong performance in many tasks, it is very vulnerable to adversarial examples, i.e., sentences with some small perturbations can fool AI models. Current adversarial texts for English are usually generated by finding substitute words in adjacent spaces of keyword vectors. Unlike English, Chinese is more discrete and has a more complex font structure, which words that are closer in vector spaces may differ greatly in physical structure. Therefore, adversarial examples generated by current methods possess lower quality and can be easily perceived by human, or rather, they are not suitable for the human cognitive system. In this paper, we propose the “WordIllusion”, a new detectable black-box algorithm used for generating Chinese adversarial texts. In this method, we create a CKSF evaluation indicator to select the key words of sentences. And then, based on the shape bias of human cognitive system and the rectification understanding to create replacement spaces of key words. To verify the effectiveness of WordIllusion, we experiment with two types of text classification tasks by using six natural language processing models. The result indicates that our method is able to improve the accuracy rate efficiently, and the generated adversarial texts can be very misleading.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101179"},"PeriodicalIF":3.9,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91964485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Detection of auditory hallucinations from electroencephalographic brain–computer interface signals 从脑电图脑机接口信号检测幻听

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-10-13 DOI: 10.1016/j.cogsys.2023.101176

Beatriz García-Martínez , Patricia Fernández-Sotos , Jorge J. Ricarte , Eva M. Sánchez-Morla , Roberto Sánchez-Reolid , Roberto Rodriguez-Jimenez , Antonio Fernández-Caballero

{"title":"Detection of auditory hallucinations from electroencephalographic brain–computer interface signals","authors":"Beatriz García-Martínez , Patricia Fernández-Sotos , Jorge J. Ricarte , Eva M. Sánchez-Morla , Roberto Sánchez-Reolid , Roberto Rodriguez-Jimenez , Antonio Fernández-Caballero","doi":"10.1016/j.cogsys.2023.101176","DOIUrl":"https://doi.org/10.1016/j.cogsys.2023.101176","url":null,"abstract":"<div><p><span>Schizophrenia<span> is a chronic psychiatric disorder that is highly debilitating. One of the most frequent symptoms is the presence of auditory hallucinations (AH), which could be related to alterations in brain electrical activity measurable with </span></span>electroencephalography (EEG). Although many previous works have recorded EEG signals of schizophrenia patients with medical EEG devices, the study of AH has never been developed by means of portable EEG measuring instruments. Therefore, the aim of this study is to detect AH in schizophrenia patients with a wireless EEG device. For that purpose, the spectral power from EEG recordings of periods with and without AH has been evaluated in a group of nine schizophrenia patients. Results reported that the main activation during hallucinations was found in right frontal locations, whereas the left hemisphere presented a stronger activation in hallucination-free periods. Furthermore, a generalized decrease of spectral power in hallucination with respect to hallucination-free episodes has been observed. Hence, this work demonstrates the possibility of detecting AH episodes with a wearable EEG device. In addition, the results obtained were compatible with the default model network, reporting a greater activation during no hallucination periods compared to hallucination moments.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101176"},"PeriodicalIF":3.9,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49731001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Higher-order adaptive dynamical system modeling of the role of epigenetics in anxiety disorders 表观遗传学在焦虑症中作用的高阶自适应动力学系统建模

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-10-11 DOI: 10.1016/j.cogsys.2023.101177

Shivant Kathusing, Natalie Samhan, Jan Treur

引用次数: 0

The role of the cerebellum in fluid intelligence: An fMRI study 小脑在液体智能中的作用：功能磁共振成像研究

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-10-04 DOI: 10.1016/j.cogsys.2023.101178

Leibovici Anat , Raizman Reut , Itzhaki Nofar , Tik Niv , Sapir Maayan , Tsarfaty Galia , Livny Abigail

{"title":"The role of the cerebellum in fluid intelligence: An fMRI study","authors":"Leibovici Anat , Raizman Reut , Itzhaki Nofar , Tik Niv , Sapir Maayan , Tsarfaty Galia , Livny Abigail","doi":"10.1016/j.cogsys.2023.101178","DOIUrl":"https://doi.org/10.1016/j.cogsys.2023.101178","url":null,"abstract":"<div><p>Traditionally, neuroimaging studies of fluid intelligence have focused on brain activation in frontal-parietal regions. In the past decade there has been accumulating evidence regarding the involvement of the cerebellum in higher cognitive function. In the current study we aimed to further investigate the role of the cerebellum in processing of fluid intelligence. We therefore scanned thirty-nine healthy participants (13 females and 26 males), recruited from the general population. Participant performed a novel abstract reasoning functional Magnetic Resonance Imaging task, modeled after stimuli from the advanced Raven's Progressive Matrices test. Analyses of both brain function and network architecture focusing on hubness were performed. We demonstrate activation in frontal and parietal well-known regions, together with an extensive activation in several cerebellar sub-regions. Moreover, four cerebellar regions served as crucial hub regions. Therefore, we provide evidence of the role of the cerebellum in fluid intelligence both by means of task brain activation and graph theory topology. Future studies should further assess in-depth the cerebellar contribution to cognitive processing in different brain disorders involving neural network alterations, allowing a better understanding of cognitive deficits.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101178"},"PeriodicalIF":3.9,"publicationDate":"2023-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Computationally inspired cognitive modeling 计算启发的认知建模

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-21 DOI: 10.1016/j.cogsys.2023.101175

Viacheslav Wolfengagen , Larisa Ismailova , Sergey Kosikov

引用次数: 2

Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy ChatGPT是否具有语义理解？发生策略的统计问题

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-20 DOI: 10.1016/j.cogsys.2023.101174

Lisa Miracchi Titus

{"title":"Does ChatGPT have semantic understanding? A problem with the statistics-of-occurrence strategy","authors":"Lisa Miracchi Titus","doi":"10.1016/j.cogsys.2023.101174","DOIUrl":"https://doi.org/10.1016/j.cogsys.2023.101174","url":null,"abstract":"<div><p><span>Over the last decade, AI models of language and word meaning have been dominated by what we might call a </span><em>statistics-of-occurrence</em><span>, strategy: these models are deep neural net structures that have been trained on a large amount of unlabeled text with the aim of producing a model that exploits statistical information about word and phrase co-occurrence in order to generate behavior that is similar to what a human might produce, or representations that can be probed to exhibit behavior similar to what a human might produce (</span><em>meaning-semblant behavior</em><span>). Examples of what we can call Statistics-of-Occurrence Models (SOMs) include: Word2Vec (CBOW and Skip-Gram), BERT, GPT-3, and, most recently, ChatGPT. Increasingly, there have been suggestions that such systems have semantic understanding, or at least a proto-version of it. This paper argues against such claims. I argue that a necessary condition for a system to possess semantic understanding is that it function in ways that are causally explainable by appeal to its semantic properties. I then argue that SOMs do not plausibly satisfy this </span><em>Functioning Criterion</em>. Rather, the best explanation of their meaning-semblant behavior is what I call the <em>Statistical Hypothesis</em><span>: SOMs do not themselves function to represent or produce meaningful text; they just reflect the semantic information that exists in the aggregate given strong correlations between word placement and meaningful use. I consider and rebut three main responses to the claim that SOMs fail to meet the Functioning Criterion. The result, I hope, is increased clarity about </span><em>why</em> and <em>how</em> one should make claims about AI systems having semantic understanding.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101174"},"PeriodicalIF":3.9,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49730994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

EmoBot: Artificial emotion generation through an emotional chatbot during general-purpose conversations EmoBot:通过情感聊天机器人在通用对话中产生人工情感

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-09 DOI: 10.1016/j.cogsys.2023.101168

Md Ehtesham-Ul-Haque , Jacob D’Rozario , Rudaiba Adnin , Farhan Tanvir Utshaw , Fabiha Tasneem , Israt Jahan Shefa , A.B.M. Alim Al Islam

{"title":"EmoBot: Artificial emotion generation through an emotional chatbot during general-purpose conversations","authors":"Md Ehtesham-Ul-Haque , Jacob D’Rozario , Rudaiba Adnin , Farhan Tanvir Utshaw , Fabiha Tasneem , Israt Jahan Shefa , A.B.M. Alim Al Islam","doi":"10.1016/j.cogsys.2023.101168","DOIUrl":"10.1016/j.cogsys.2023.101168","url":null,"abstract":"<div><p><span>Emotion modeling has always been intriguing to researchers, where detecting emotion is highly focused and generating emotion is much less focused to date. Therefore, in this paper, we aim to exploring emotion generation, particularly for general-purpose conversations. Based on the Cognitive Appraisal Theory and focusing on audio and textual inputs, we propose a novel method to calculate informative variables to evaluate a particular emotion-generating event and six primary emotions. Incorporating such a method of artificial emotion generation, we implement an emotional chatbot, namely </span><em>EmoBot</em>. Accordingly, <em>EmoBot</em> analyzes continuous audio and textual inputs, calculates the informative variables to evaluate the current situation, generates appropriate emotions, and responds accordingly. An objective evaluation indicates that <em>EmoBot</em> could generate more accurate emotional and semantic responses than a traditional chatbot that does not consider emotion. Additionally, a subjective evaluation of <em>EmoBot</em> demonstrates the appreciation of users for <em>EmoBot</em> over a traditional chatbot that does not consider emotion.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101168"},"PeriodicalIF":3.9,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47432327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Human-inspired autonomous driving: A survey 受人类启发的自动驾驶：一项调查

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-07 DOI: 10.1016/j.cogsys.2023.101169

Alice Plebe , Henrik Svensson , Sara Mahmoud , Mauro Da Lio

引用次数: 1

Piagetian experiments to DevRobotics Piagetian实验到DevRobotics

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-07 DOI: 10.1016/j.cogsys.2023.101170

Letícia Berto , Leonardo Rossi , Eric Rohmer , Paula Costa , Ricardo Gudwin , Alexandre Simões , Esther Colombini

{"title":"Piagetian experiments to DevRobotics","authors":"Letícia Berto , Leonardo Rossi , Eric Rohmer , Paula Costa , Ricardo Gudwin , Alexandre Simões , Esther Colombini","doi":"10.1016/j.cogsys.2023.101170","DOIUrl":"10.1016/j.cogsys.2023.101170","url":null,"abstract":"<div><p><span>Integrating robots into our daily lives, once a distant dream, is gradually becoming a reality, surpassing our initial expectations. Today, we aspire for these robots to not only perform rudimentary tasks but to emulate human behavior<span>, and in some aspects, even exceed it. The realm of research dedicated to achieving human-like competencies in robots has given rise to the fields of Developmental and Cognitive Robotics. These domains find their foundation in cognitive architectures and insights from </span></span>human development. Despite the substantial progress in these fields, a conspicuous gap exists in the literature related to the evaluation of cognitive architectures and the advanced capabilities exhibited by robots. Recognizing this void, we aim at establishing a bridge between the insights gleaned from human developmental theories and the potential applications in robotics. Central to our investigation is the notion that learning follows a cumulative trajectory of escalating complexity. Consequently, our focus centers on the early stages of human development, particularly within the realm of children aged 0 to 2 years. Drawing inspiration from Piaget’s constructivist theory aligned with empirical studies in the Developmental Robotics domain, we unveil a framework that facilitates the classification of these studies. In light of this, we curate a series of progressive experiments, mirroring the motor and cognitive growth exhibited by children from birth to two years of age, to be conducted with robots. We also described a methodology for designing these experiments considering the robotics aspects.</p></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":"83 ","pages":"Article 101170"},"PeriodicalIF":3.9,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41788714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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

Interpersonal trust modelling through multi-agent Reinforcement Learning 基于多智能体强化学习的人际信任建模

IF 3.9 3区心理学

Cognitive Systems Research Pub Date : 2023-09-02 DOI: 10.1016/j.cogsys.2023.101157

Vincent Frey, Julian Martinez

引用次数: 0