Cognitive Systems Research最新文献

{"title":"Neuromodulatory developmental learning of the mobile robots corresponding to the unexpected obstacles","authors":"Hongyan Zhao ,&nbsp;Dongshu Wang ,&nbsp;Lei Liu","doi":"10.1016/j.cogsys.2024.101296","DOIUrl":"10.1016/j.cogsys.2024.101296","url":null,"abstract":"<div><div>With the gradual expansion of robot applications, the operating environment is becoming more and more complex, and various uncertainty may be encountered. Investigating how to efficiently respond to various uncertainty in the environment has become an important challenge in the field of robotics research. For the autonomous obstacle avoidance of mobile robots in case of sudden appeared obstacles, a dynamic obstacle avoidance algorithm with a motivated developmental network that simulates the visual attention mechanism is proposed. Simulating the response mechanism of biological vision, a depth camera is used to achieve the detection and recognition of obstacles. To enhance the behavioral regulation of mobile robots, the response mechanism of the human brain attention network is simulated, and an attention model containing the ventral attention network and dorsal attention network is proposed, then a motivated developmental network is designed to simulate this attention mechanism. Furthermore, the working mechanism of the neuromodulation system is simulated to better regulate the robot’s motion and improve its ability to quickly respond to dynamic obstacles suddenly appeared in the environment. A new collision risk is designed by considering the influence of the obstacle’s speed, direction, and distance to the mobile robot. Finally, the feasibility of the proposed method is verified by the experimental results in different physical environments.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441841","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}

{"title":"Context-dependent communication under environmental constraints","authors":"Krzysztof Główka,&nbsp;Julian Zubek,&nbsp;Joanna Rączaszek-Leonardi","doi":"10.1016/j.cogsys.2024.101293","DOIUrl":"10.1016/j.cogsys.2024.101293","url":null,"abstract":"<div><div>There is significant evidence that real-world communication cannot be reduced to sending signals with context-independent meaning. In this work, based on a variant of the classical Lewis (1969) signalling model, we explore the conditions for the emergence of context-dependent communication in an agent-based situated model. In particular, we demonstrate that pressure to minimise the vocabulary size is sufficient for such emergence. At the same time, we study the environmental conditions and cognitive capabilities that enable contextual disambiguation of symbol meanings. We show that (a) regularities in the context are not necessary for context-dependent communication and that (b) environmental constraints on the receiver’s referent choice can be unilaterally exploited by the sender, without disambiguation capabilities on the receiver’s end. Consistent with common assumptions, the sender’s awareness of the context appears to be required for contextual communication. Our results further demonstrate the crucial role of the environment in the seemingly multilayered phenomenon of context-dependent communication — where language is influenced not only by the distribution of objects in the context, as indicated by previous studies, but also by the very presence of environmental constraints on referent choice. The computational model developed in this work is a demonstration of how signals may be ambiguous out of context, but still allow for near-perfect communication accuracy.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142525958","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}

{"title":"Enhancing cognitive abilities through the POE teaching strategy in a virtual learning environment","authors":"Ancheng Jiang ,&nbsp;Gaofeng Li","doi":"10.1016/j.cogsys.2024.101295","DOIUrl":"10.1016/j.cogsys.2024.101295","url":null,"abstract":"<div><div>With the introduction of information technology into education, the educational environment has undergone qualitative changes, that is, from a real learning environment to a digital learning environment. In a virtual learning environment (VLE), learners not only perceive themselves in new ways but also construct themselves in new ways. However, the POE (Prediction-Observation-Explanation) teaching strategy includes prediction, observation, and explanation. At the entry point of the learning strategy, the effective interaction between teachers and students can promote the development of cognitive ability. Therefore, this paper analyzed the perceptual entropy and matching degree through the radar target tracking algorithm, aiming at analyzing the current situation of the classroom and the advantages of POE teaching strategies. The findings of the study indicate that the POE teaching strategy greatly enhances students’ cognitive ability by teaching through prediction, observation, and interpretation. The research offers a novel contribution to the field of POE teaching strategy under a virtual cultural learning environment by expanding the comprehensive benefits of its students’ cognitive ability cultivation, exploring its impact on students’ academic performance, and offering practical recommendations for its implementation in the learning environment. The research demonstrates that POE strategies have positive effects on students’ academic performance and attitudes toward physics. Under the radar target tracking algorithm, the model matching degree and simplified entropy of the POE teaching strategy were both increasing. The mean of the model fit was 0.61, which was 0.40 higher than that of the first day, and the mean of the simplified entropy was 0.38, which was 0.12 higher than that of the first day. Finally, the cognitive ability and cognitive regulation ability of students under the POE teaching strategy were higher than those of the traditional teaching strategy. Compared with the traditional teaching strategy, cognitive ability was 9% higher, and cognitive regulation ability was 6% higher.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142526107","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}

{"title":"Interpretable logical-probabilistic approximation of neural networks","authors":"Evgenii Vityaev ,&nbsp;Alexey Korolev","doi":"10.1016/j.cogsys.2024.101301","DOIUrl":"10.1016/j.cogsys.2024.101301","url":null,"abstract":"<div><div>The paper proposes the approximation of DNNs by replacing each neuron by the corresponding logical-probabilistic neuron. Logical-probabilistic neurons learn their behavior based on the responses of initial neurons on incoming signals and discover all logical-probabilistic causal relationships between the input and output. These logical-probabilistic causal relationships are, in a certain sense, most precise – it was proved in the previous works that they are theoretically (when probability is known) can predict without contradictions. The resulting logical-probabilistic neurons are interconnected by the same connections as the initial neurons after replacing their signals on true/false. The resulting logical-probabilistic neural network produces its own predictions that approximate the predictions of the original DNN. Thus, we obtain an interpretable approximation of DNN, which also allows tracing of DNN by tracing its excitations through the causal relationships. This approximation of DNN is a Distillation method such as Model Translation, which train alternative smaller interpretable models that mimics the total input/output behavior of DNN. It is also locally interpretable and explains every particular prediction. It explains the sequences of logical probabilistic causal relationships that infer that prediction and also show all features that took part in this prediction with the statistical estimation of their significance. Experimental results on approximation accuracy of all intermedia neurons, output neurons and softmax output of DNN are presented, as well as the accuracy of obtained logical-probabilistic neural network. From the practical point of view, interpretable transformation of neural networks is very important for the hybrid artificial intelligent systems, where neural networks are integrated with the symbolic methods of AI. As a practical application we consider smart city.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427175","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}

{"title":"Bilateral Turing Test: Assessing machine consciousness simulations","authors":"Ge Wang,&nbsp;Xianhong Li,&nbsp;Shenghua Xie","doi":"10.1016/j.cogsys.2024.101299","DOIUrl":"10.1016/j.cogsys.2024.101299","url":null,"abstract":"<div><div>Recent advancements in Artificial Intelligence (AI) have brought discussions on machine consciousness back to the forefront. However, methodologies for assessing machine consciousness simulations remain highly constrained and lack consensus. This study introduces the Bilateral Turing Test, a thought experiment to assess machine consciousness simulations based on a functionalist perspective, focusing on external behavior and cognitive characteristics associated with consciousness. The test involves both machines and humans participating as judges in an enhanced Turing Test, and compares the external behavior of machine-simulated consciousness with the behavior of human consciousness. We derive the experimental principles via three theoretical propositions reflecting the human–machine cognitive relationship and elucidate the basic conditions and procedures of the thought experiment. A systematic measure is employed to evaluate emulation against human benchmarks, and we establish a statistical threshold for successful consciousness simulations. Our study provides a comprehensive framework for redefining machine consciousness simulations and enhancing interdisciplinary conversations across computer science, neuroscience, and philosophy. This framework also advances bottom-up approaches for assessing machine consciousness simulations and provides pivotal insights into human–machine interaction dynamics.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427174","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}

{"title":"An adaptive dynamical system model for development of schizophrenia: Epigenetics and false memories","authors":"Ilma Jaganjac ,&nbsp;Sophie C.F. Hendrikse ,&nbsp;Jan Treur","doi":"10.1016/j.cogsys.2024.101288","DOIUrl":"10.1016/j.cogsys.2024.101288","url":null,"abstract":"<div><div>This paper introduces a fifth-order adaptive dynamical system model represented as a self-modelling network model to understand the role of epigenetic factors in developing schizophrenia, particularly about the occurrence of false memories. Schizophrenia, affecting a significant portion of the global population, presents complex challenges due to its symptoms across cognitive, emotional, and social domains. Central to this paper is the exploration of epigenetic influences on the development of schizophrenia, with a focus on how these epigenetic factors contribute to the generation of false memories, a notable symptom of the disorder. The model assumes that early adverse experiences significantly affect hippocampal development, which is crucial for memory processes. By employing a fifth-order adaptive dynamical system model represented as a self-modelling network, this paper examines the intricate dynamics between genetic predispositions, environmental factors, and epigenetic modifications in schizophrenia. The model’s sophistication allows for a nuanced understanding of the gene-environment interactions, particularly highlighting the role of early-life trauma in shaping lifelong cognitive outcomes. This approach offers a comprehensive framework for analyzing the multifaceted nature of schizophrenia, contributing to a deeper understanding of its etiology and progression.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142441840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of semantic inconsistencies of motor actions: From language to praxis","authors":"Rubén Torres Agustín ,&nbsp;Zareth Bonilla González ,&nbsp;Mario A. Rodríguez Camacho ,&nbsp;Sebastián Almonte ,&nbsp;Wendy Fabiola Lara Galindo ,&nbsp;Francisco Abelardo Robles Aguirre","doi":"10.1016/j.cogsys.2024.101292","DOIUrl":"10.1016/j.cogsys.2024.101292","url":null,"abstract":"<div><div>Semantics of actions includes three types of knowledge: a) of the function of objects and tools, b) of the actions independently of the tools, and c) of the organization of simple actions in sequences. These types of knowledge might be structured as thematic roles into the semantics of actions. To test these hypothesis, 125 illustrations, divided into five conditions: i) Congruent (C), ii) Agent Inconsistent (AI), iii) Instrument Inconsistent (II), iv) Patient Inconsistent (PI), and v) Location Inconsistent (LI), were presented to 23 volunteers (50 % women), aged 20–25, who were asked to respond whether the image was congruent or incongruent. Electrical brain activity was recorded through 20 channels to obtain the event-related potentials (ERP) associated. Lower reaction times for II and PI than C, and a greater number of incorrect trials for C were found. A N300/N400 effect appeared for AI and LI conditions with respect to C. Finally, II and LI conditions present a deflected P600 in reference to C. These findings suggest semantic of actions is sensitive to thematic role manipulations and constitute evidence in favor of a semantic processing shared between visually observed praxis and words.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427173","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}

{"title":"What you need to know about a learning robot: Identifying the enabling architecture of complex systems","authors":"Helen Beierling ,&nbsp;Phillip Richter ,&nbsp;Mara Brandt ,&nbsp;Lutz Terfloth ,&nbsp;Carsten Schulte ,&nbsp;Heiko Wersing ,&nbsp;Anna-Lisa Vollmer","doi":"10.1016/j.cogsys.2024.101286","DOIUrl":"10.1016/j.cogsys.2024.101286","url":null,"abstract":"<div><div>Nowadays we deal with robots and AI more and more in our everyday life. However, their behavior is not always apparent to most lay users, especially in error situations. This can lead to misconceptions about the behavior of the technologies being used. This in turn can lead to misuse and rejection by users. Explanation, for example through transparency, can address these misconceptions. However, explaining the entire software or hardware would be confusing and overwhelming for users. Therefore, this paper focuses on the ‘enabling’ architecture. It describes those aspects of a robotic system that may need to be explained to enable someone to use the technology effectively. Furthermore, this paper deals with the ‘explanandum’, i.e. the corresponding misunderstandings or missing concepts of the enabling architecture that need to be clarified. Thus, we have developed and are presenting an approach to determine the ‘enabling’ architecture and the resulting ‘explanandum’ of complex technologies.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mathematical formulation of learner cognition for personalised learning experiences","authors":"Jeena A. Thankachan,&nbsp;Bama Srinivasan","doi":"10.1016/j.cogsys.2024.101283","DOIUrl":"10.1016/j.cogsys.2024.101283","url":null,"abstract":"<div><div>The paper focuses on the assessment of cognitive skills within Virtual Learning Environments (VLEs). In response to the global shift to remote learning amid the COVID-19 pandemic, VLEs, which include learning management systems (LMS) and online collaboration platforms, gained prominence. The proposed work leverages an established Cattell–Horn–Carroll (CHC) theory to propose eight metrics, which collectively form a part of Cognitive Evaluation Metrics (CEM). The proposed metrics introduce a novel computational approach for multimode evaluation of learners’ cognitive abilities for each learning task within a learning environment. The paper details the formalism for the evaluation of the metrics and makes a contribution towards the potential of the proposed methodology to evaluate cognitive abilities. Additionally, the work implements CEM integration into the learner module of a Game-Based Learning (GBL) environment. Analysis of simulations in the GBL environment, along with statistical analysis, provides insights into the normal distribution of cognitive metrics. This reveals diverse ranges in various abilities such as long or short term memory, working memory, reasoning, attention, and processing speed. The paper also explores the impact of virtual assistants, which highlights their limited relevance to enhance cognitive abilities but serve as valuable on-demand support resources.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142320388","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}

{"title":"Identification of the emotional component of inner pronunciation: EEG-ERP study","authors":"Ivanov Viacheslav,&nbsp;Vartanov Alexander","doi":"10.1016/j.cogsys.2024.101287","DOIUrl":"10.1016/j.cogsys.2024.101287","url":null,"abstract":"<div><div>The article discusses the problems of identifying the emotional component of inner pronunciation using psychophysiological methods. In the course of preliminary analysis, P200, N400 and LPC were identified, associated with various parameters of prosody regulation during inner pronunciation. An experimental study of inner pronunciation using event-related potentials from EEG was conducted to isolate these components. In addition, a new method of localizing sources of activity using EEG “virtually implanted electrode” was applied in order to study possible sources of the isolated components. The results show the connection of EEG components with various characteristics of prosody (P200 − the beginning of prosody encoding, N400 − the valence of the emotion, LPC − the intensity of the emotion). Based on the results, the participation of various brain structures in the generation of each of the components was also analyzed.</div></div>","PeriodicalId":55242,"journal":{"name":"Cognitive Systems Research","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142323734","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}