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Artykuły w czasopismach na temat "Cognitive modelling technique"
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Jaya Riana, I. Komang, I. Ketut Dharsana i Luh Putu Sri Lestari. "Cognitive Counseling with Modelling Krisna and Bisma to Improve Self Achievement". Bisma The Journal of Counseling 1, nr 1 (30.06.2017): 11. http://dx.doi.org/10.23887/128242017.
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This study aims to Determine the Influence of Cognitive Behavioral Counseling Theory With Lord Krishna Basu Modeling Technique To Improve Self Achievement Through Lesson Study In X-1 Students In Sma Negeri 1 Sukasada. This type of research is quasi-experimental research design with "Nonequivalent Posttest Only Control Group Design". Sampling in this research is done by purposive sampling technique. The sample of this study amounted to 21 students. Data collection method used was self-question questionnaire, Analyzed by t-test analysis technique. The result of this research is get t = 3.323 with 0.003 significance so Ho rejected and Ha accepted. Then it can be concluded that there is influence of cognitive counseling behaviora basu god Krishna modeling technique through self lesson study to improve student achievement of class X-1 in SMA Negeri 1 Sukasada.
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Kravtsova, Y. V. "Metaphoric Modelling in Modern Linguistics". Scientific Journal of National Pedagogical Dragomanov University. Series 9. Current Trends in Language Development, nr 18 (18.03.2019): 95–106. http://dx.doi.org/10.31392/npu-nc.series9.2018.18.08.
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In modern science modelling is one of the main methods of scientific research. Metaphor began to be considered as a simulated object only from the end of the last century. In Eastern Slavic linguistics two approaches to modelling of metaphorisation have emerged – semantic and cognitive. Based on the analysis of linguistic studies in the sphere of metaphorical modelling, various ways of parametrising metaphors as a semantic and cognitive model have been characterized, their common parameters have been established, disputable questions have been highlighted. The author has developed a new semantic-cognitive approach to the study of metaphor and modelling of metaphorisation. According to it, metaphor is considered as a mental and verbal construct created in the process of human metaphorogenic activity. However, the study of cognitive mechanisms, including metaphorisation, is possible only based on the research of the results of their realisation in language (speech). Through the study of the semantics of the metaphorical nominations of a language and the construction of corresponding metaphorical models, the semantic-cognitive approach allows to establish the models of national metaphorical thinking characteristic of any historical period. The main points of this approach are briefly outlined, a parametric description of the metaphor as a semantic-cognitive model is represented, a rationale for the introduced notions of metaphorical mega-model and sub-model, semantic-cognitive formant is provided. The proposed technique is intended both for corpus research of metaphors and for the study of separate facts of a metaphorical nomination.
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Cipta Ananda, Komang Adi, I. Ketut Dharsana i Ni Ketut Suarni. "Cognitive Behavioral Counseling with Modelling Pan Balang Tamak to Improve Persuasive". Bisma The Journal of Counseling 1, nr 2 (30.12.2017): 1. http://dx.doi.org/10.23887/128162017.
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This study aimed to determine the effect of cognitive behavioral counseling by modeling techniques Pan balang greedy to increased interest persuasive students through lesson study VIII.4 grade students of SMP Negeri 2 Singaraja. This research is the study design "quasi-experimental (Quasi Experiment)" Design nonequivalent pretest-posttest control group design. The sampling technique used is random sampling and random class as an intact group of subjects of this study were 38 people VIII.4 grade students of SMP Negeri 2 Singaraja. The process of taking data in this study using the method of observation, interviews, diaries and questionnaires Interests linkert scale pattern persuasive and descriptive analysis and statistical analysis used the formula for the t-test. Empirical findings in this study stated that there are significant cognitive-behavioral counseling by modeling techniques Pan balang greedy to increased interest persuasive students through lesson study VIII.4 grade students of SMP Negeri 2 Singaraja. This is evidenced by the t value of 3,516 sig.0,01 with 0:01 <0.05. with a significance level (p) <0.05 indicating that counseling services will be more effective if counselees in the implementation of the service is facilitated by modeling techniques Balang Greed Pan models. Based on this statement we can say that the cognitive-behavioral counseling by modeling techniques Balang Greed Pan right models applied in schools.
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Asmah, Ayu, i Romia Hari Susanti,. "PENGARUH PENGGUNAAN TEKNIK COGNITIVE MODELLING TERHADAP KEMAMPUAN BERBICARA ANAK DIDIK GUGUS PAUD 8 KECAMATAN GADANG KOTA MALANG". Jurnal Warna : Pendidikan dan Pembelajaran Anak Usia Dini 5, nr 2 (28.08.2020): 69–76. http://dx.doi.org/10.24903/jw.v5i2.526.
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Speaking is an ability to produce articulation sounds to express or to tell ideas, thought, and feeling. In a case of children speech disorder, it is a complicated problem faced by the children and their parents. The aim of this research is to study effect of the use of Cognitive Modelling Technique to children speaking ability of Early Childhood Education Group 8 in Gadang Sub-District Malang. The research method of this study is Quasi Experimental Design by using Pre-test pattern and Post-test Group. The used of Cognitive Modelling Technique is effective to improve children speaking ability of Early Childhood Education Group 8 in Gadang Sub- District Malang. It is based on hypothesis test result which shows probability below 0.05 (0.0025 <0.05), the result means that Ho is rejected
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Rusmansyah, Rusmansyah, i Almubarak Almubarak. "Students' Cognitive Analysis using Rasch Modeling as an Assessment for Planning of Strategies in Chemistry Learning". JKPK (Jurnal Kimia dan Pendidikan Kimia) 5, nr 3 (31.12.2020): 222. http://dx.doi.org/10.20961/jkpk.v5i3.40936.
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<p>Rasch modelling based on assessment can help teachers analyze the students' cognitive knowledge level and development. However,<strong> </strong>teachers are considered unsuccessful in teaching where the achievement of indicators in learning science, such as chemistry, is not holistically actualized. This study aimed to analyze High School students' knowledge in Banjarmasin City, especially on students' knowledge (cognitive aspect), using the Rasch modelling data analysis technique and exploring how chemical learning strategies are planned based on the symptoms of the data obtained. The data collection technique used a dichotomous format test technique (multiple choices). The research method used was descriptive with a quantitative approach to examine Rasch's various data, which was then interpreted qualitatively to describe the issues raised. The study results show that person reliability (students) based on Rasch modelling analysis is +0.79, and <em>item reliability </em>is<em> </em>+0.98, where the value indicates that the consistency of the participant response pattern is "sufficient." Then, the <em>mean person measure </em>is<em> </em>-0.07, while the mean item is 0.00. It means that the participants' "mean value" is below the "mean value" of the item that the students' ability is below the item's ability. The Rasch data's recapitulation value showed that the response patterns of various data symptoms and those data were interpreted. It showed students' knowledge of atomic structure material was still considered low based on the Rasch model criteria. This is a reference for making appropriate chemical learning strategy plans to improve their knowledge. In conclusion, Rasch modelling-based assessment is effectively used in analyzing students' (cognitive) ability on atomic structure material. These results produce a strategic plan like what in chemistry learning such as the importance of conducting further diagnoses using misconception tests, identifying students' learning styles, constructing students' knowledge through the concept of chemical representation, and developing appropriate learning media according to their needs (students).</p>
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Savchenko, Yelisaveta. "Cognitive Approach to the Notion of Enumeration". Izvestia of Smolensk State University, nr 1(57) (3.07.2022): 115–22. http://dx.doi.org/10.35785/2072-9464-2022-57-1-115-122.
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The article focuses on the development of the cognitive approach to stylistic
devices and views the stylistic device of enumeration as a cognitive phenomenon. The
necessity of the research conducted is determined by insufficient cognitive knowledge
of the stylistic device of enumeration, as well as by the increasing interest in the ap-
plication of cognitive methods of analysis aroused nowadays. Discourse analysis of
the given examples is complemented by a brief overview of basic ideas of such prom-
inent linguists as M. Minsky, R. Wodak, G. Fauconnier, M. Turner, O.K. Iriskhanova
and others. As the principal method of analysis, we apply cognitive modelling includ-
ing the method of conceptual integration and the method of frame-structures, as well
as discourse, critical and linguaculturological analyses.
The paper aims at demonstrating the effectiveness of cognitive theories as an interpretation tool of enumeration analysis. Literary examples taken from authentic novels are subjected to careful examination with the aid of cognitive modelling technique. The study has established and cited a wide range of advantages of cognitive analysis. Thus, it allows us 1) to identify the recipient’srole in the discourse, 2) to
take into account extralinguistic factors, 3) to analyse cognitive processes and func-
tions of human brain, 4) to decode the author’s intentions.
The author draws a conclusion that the effectiveness of the application of cognitive research methods has been confirmed by the fact that the above-mentioned methods lead to the comprehensive and complete understanding of the phenomenon
of enumeration.
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Domegan, Christine, Patricia McHugh, Brian Joseph Biroscak, Carol Bryant i Tanja Calis. "Non-linear causal modelling in social marketing for wicked problems". Journal of Social Marketing 7, nr 3 (10.07.2017): 305–29. http://dx.doi.org/10.1108/jsocm-02-2017-0007.
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PurposeThe purpose of this paper is to show how non-linear causal modelling knowledge, already accumulated by other disciplines, is central to unravelling wicked problem scoping and definition in social marketing. Design/methodology/approachThe paper is an illustrative case study approach, highlighting three real-world exemplars of causal modelling for wicked problem definition. FindingsThe findings show how the traditional linear research methods of social marketing are not sensitive enough to the dynamics and complexities of wicked problems. A shift to non-linear causal modelling techniques and methods, using interaction as the unit of analysis, provides insight and understanding into the chains of causal dependencies underlying social marketing problems. Research limitations/implicationsThis research extends the application of systems thinking in social marketing through the illustration of three non-linear causal modelling techniques, namely, collective intelligence, fuzzy cognitive mapping and system dynamics modelling. Each technique has the capacity to visualise structural and behavioural properties of complex systems and identify the central interactions driving behaviour. Practical implicationsNon-linear causal modelling methods provide a robust platform for practical manifestations of collaborative-based strategic projects in social marketing, when used with participatory research, suitable for micro, meso, macro or systems wide interventions. Originality/valueThe paper identifies non-linear causality as central to wicked problem scoping identification, documentation and analysis in social marketing. This paper advances multi-causal knowledge in the social marketing paradigm by using fuzzy, collective and interpretative methods as a bridge between linear and non-linear causality in wicked problem research.
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Shapko, Olga. "Modelling of Teaching for Pre-School Children with Mental Retardation". Journal of Digital Art & Humanities 2, nr 1 (26.06.2021): 29–38. http://dx.doi.org/10.33847/2712-8148.2.1_3.
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The article discusses the experience of using models in remedial work with children with mental retardation of preschool age in kindergarten conditions. Examples of outlines of lessons with this category of preschool children 6-7 years old are offered. The reactions of children to the introduction of models are illustrated. The aim of the article is to show that models are an effective technique for children with mental retardation to perceive cognitive material, because they stimulate children to independent voluntary purposeful activity. This is facilitated by the model algorithm, which includes generalized images that are familiar to children and do not cause them difficulties. We have taken into account that for children with mental retardation the operation "comparison" is one of the difficult ones, but through it the relations between objects and phenomena of the external world are learned. Comparison therefore plays an important role in cognition Comparison helps to generalise and systematise knowledge. The process of comparison is a necessary condition for generalisation. The model can help children with mental retardation to find similarities between objects, which for them is rather more difficult than finding differences.
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Baig, Muhammad Zeeshan, i Manolya Kavakli. "Connectivity Analysis Using Functional Brain Networks to Evaluate Cognitive Activity during 3D Modelling". Brain Sciences 9, nr 2 (24.01.2019): 24. http://dx.doi.org/10.3390/brainsci9020024.
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Modelling 3D objects in CAD software requires special skills which require a novice user to undergo a series of training exercises to obtain. To minimize the training time for a novice user, the user-dependent factors must be studied. we have presented a comparative analysis of novice/expert information flow patterns. We have used Normalized Transfer Entropy (NTE) and Electroencephalogram (EEG) to investigate the differences. The experiment was divided into three cognitive states i.e., rest, drawing, and manipulation. We applied classification algorithms on NTE matrices and graph theory measures to see the effectiveness of NTE. The results revealed that the experts show approximately the same cognitive activation in drawing and manipulation states, whereas for novices the brain activation is more in manipulation state than drawing state. The hemisphere- and lobe-wise analysis showed that expert users have developed an ability to control the information flow in various brain regions. On the other hand, novice users have shown a continuous increase in information flow activity in almost all regions when doing drawing and manipulation tasks. A classification accuracy of more than 90% was achieved with a simple K-nearest neighbors (k-NN) to classify novice and expert users. The results showed that the proposed technique can be used to develop adaptive 3D modelling systems.
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Qianran, Xu, Wu Jiazhen, Yang Menglang i Zhu Hong. "Research on the Impact of Consumers’ Purchasing Decision in E-commerce Live-steaming——Based on Cognitive and Perceptive Perspective". Journal of Finance Research 5, nr 2 (2.12.2021): 12. http://dx.doi.org/10.26549/jfr.v5i2.6904.
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In the live-streaming area, high-tech social media has transformed our interactions and social activities through a brand new marketing approach. The research identifies the underlying drivers of purchasing decision from cognitive and perceptive perspective, and confirms the decision-making mechanism from individual view. Our study is based on S-O-R Theory, Social Presence Theory and Technology Acceptance Model, and we add Perceived Trust. A scale of 24 items which reflecting 6 construct was set up. Then a pre-test was designed to test the validity of scale and a formal experience was conducted to 311 customers. Data are analyzed applying the structural equation modelling (SEM) technique with SPSS and Amos. The results indicate that cognition and perception both positively influence Perceived Ease of Use. But only cognition can significantly affect Perceived Use, necessitating expertise of anchors and dissemination of high quality content. Besides, the affecting path of PU, PEOU and PT was verified, providing guidance for platform designing, anchor training and product selecting.
Rozprawy doktorskie na temat "Cognitive modelling technique"
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Crawford, Alistair, i n/a. "Bad Behaviour: The Prevention of Usability Problems Using GSE Models". Griffith University. School of Information and Communication Technology, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20061108.154141.
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The aim of Human Computer Interaction or HCI is to both understand and improve the quality of the users' experience with the systems and technology they interact with. Recent HCI research requirements have stated a need for a unified predictive approach to system design that consolidates system engineering, cognitive modelling, and design principles into a single 'total system approach.' At present, few methods seek to integrate all three of these aspects into a single method and of those that do many are extensions to existing engineering techniques. This thesis, however proposes a new behaviour based approach designed to identify usability problems early in the design process before testing the system with actual users. In order to address the research requirements, this model uses a new design notation called Genetic Software Engineering (GSE) in conjunction with aspects of a cognitive modelling technique called NGOMSL (Natural GOMS Language) as the basis for this approach. GSE's behaviour tree notation, and NGOMSL's goal orientated format are integrated using a set of simple conversion rules defined in this study. Several well established design principles, believed to contribute to the eventual usability of a product, are then modelled in GSE. This thesis addresses the design of simple interfaces and the design of complex ubiquitous technology. The new GSE approach is used to model and predict usability problems in an extensive range of tasks from programming a VCR to making a video recording on a modern mobile phone. The validity of these findings is tested against actual user tests on the same tasks and devices to demonstrate the effectiveness of the GSE approach. Ultimately, the aim of the study is to demonstrate the effectiveness of the new cognitive and engineering based approach at predicting usability problems based on tangible representations of established design principles. This both fulfils the MCI research requirements for a 'total system approach' and establishes a new and novel approach to user interface and system design.
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Crawford, Alistair. "Bad Behaviour: The Prevention of Usability Problems Using GSE Models". Thesis, Griffith University, 2006. http://hdl.handle.net/10072/366051.
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The aim of Human Computer Interaction or HCI is to both understand and improve the quality of the users' experience with the systems and technology they interact with. Recent HCI research requirements have stated a need for a unified predictive approach to system design that consolidates system engineering, cognitive modelling, and design principles into a single 'total system approach.' At present, few methods seek to integrate all three of these aspects into a single method and of those that do many are extensions to existing engineering techniques. This thesis, however proposes a new behaviour based approach designed to identify usability problems early in the design process before testing the system with actual users. In order to address the research requirements, this model uses a new design notation called Genetic Software Engineering (GSE) in conjunction with aspects of a cognitive modelling technique called NGOMSL (Natural GOMS Language) as the basis for this approach. GSE's behaviour tree notation, and NGOMSL's goal orientated format are integrated using a set of simple conversion rules defined in this study. Several well established design principles, believed to contribute to the eventual usability of a product, are then modelled in GSE. This thesis addresses the design of simple interfaces and the design of complex ubiquitous technology. The new GSE approach is used to model and predict usability problems in an extensive range of tasks from programming a VCR to making a video recording on a modern mobile phone. The validity of these findings is tested against actual user tests on the same tasks and devices to demonstrate the effectiveness of the GSE approach. Ultimately, the aim of the study is to demonstrate the effectiveness of the new cognitive and engineering based approach at predicting usability problems based on tangible representations of established design principles. This both fulfils the MCI research requirements for a 'total system approach' and establishes a new and novel approach to user interface and system design.Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information and Communication Technology
Full Text
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Serna, Audrey. "Observation et modélisation des processus exécutifs et de leur dégradation lors du vieillissement cognitif dans la réalisation des activités de la vie quotidienne". Thèse, Université de Sherbrooke, 2008. http://savoirs.usherbrooke.ca/handle/11143/5105.
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Résumé : Pour assister efficacement les personnes en perte d'autonomie dans le contexte des habitats intelligents, il est essentiel d'identifier les difficultés auxquelles ces personnes sont confrontées dans leur quotidien. L'objectif de ce travail est d'observer les processus exécutifs durant les activités de la vie quotidienne, ainsi que leur dysfonctionnement lors du vieillissement cognitif (normal ou lié à la maladie d'Alzheimer), puis d'élaborer un modèle théorique et informatique capable de simuler les comportements observés. Une phase d'observation et de qualification des processus de contrôle exécutif (capacités de régulation de l'action, de correction et d'adaptation lors de situations imprévues) a d'abord été réalisée, dornnant lieu à la spécification d'un modèle théorique fondé sur le modèle de contrôle attentionnel de l'action de Norman et Shallice. Le modèle théorique a ensuite été implémenté informatiquement et permet de simuler une activité quotidienne spécifique. // Abstract : In order to assist patients who are loosing their autonomy, smart homes and cognitive assistance systems have to be based on a good knowledge of people's disorders and on the difficulties they are likely to encounter in daily life. The specific objective of this PhD is to observe executive processes involved in the completion of daily activities and their impairment during ageing and dementia of the Alzheimer's type, and then to design both theoretical and computational models which are able to generate the observed behaviours. An observation and a qualification phase, allowing to observe executive control processes (action regulation, correction and adaptation when unexpected situations occur) have been first realized, leading to the specification of a theoretical model based on the Norman and Shallice model. This theoretical model has then been implemented to obtain a computational model, which allows the simulation of a specific activity of daily living.
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Raza, Habib M. "Automating computational cognitive modelling techniques to improve the information architecture of large websites". Thesis, Teesside University, 2013. http://hdl.handle.net/10149/301638.
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In two studies using computational cognitive modelling techniques, two large websites were analysed and then their information architecture was improved. In each study, a psychological experiment was designed and executed comparing the improved version of the website with the original version. The findings demonstrate that users' information-retrieval performance of sites with improved information architecture is superior.
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McLucas, Alan Charles Civil Engineering Australian Defence Force Academy UNSW. "An investigation into the integration of qualitative and quantitative techniques for addressing systemic complexity in the context of organisational strategic decision-making". Awarded by:University of New South Wales - Australian Defence Force Academy. School of Civil Engineering, 2001. http://handle.unsw.edu.au/1959.4/38744.
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System dynamics modelling has been used for around 40 years to address complex, systemic, dynamic problems, those often described as wicked. But, system dynamics modelling is not an exact science and arguments about the most suitable techniques to use in which circumstances, continues. The nature of these wicked problems is investigated through a series of case studies where poor situational awareness among stakeholders was identified. This was found to be an underlying cause for management failure, suggesting need for better ways of recognising and managing wicked problem situations. Human cognition is considered both as a limitation and enabler to decision-making in wicked problem environments. Naturalistic and deliberate decision-making are reviewed. The thesis identifies the need for integration of qualitative and quantitative techniques. Case study results and a review of the literature led to identification of a set of principles of method to be applied in an integrated framework, the aim being to develop an improved way of addressing wicked problems. These principles were applied to a series of cases in an action research setting. However, organisational and political barriers were encountered. This limited the exploitation and investigation of cases to varying degrees. In response to a need identified in the literature review and the case studies, a tool is designed to facilitate analysis of multi-factorial, non-linear causality. This unique tool and its use to assist in problem conceptualisation, and as an aid to testing alternate strategies, are demonstrated. Further investigation is needed in relation to the veracity of combining causal influences using this tool and system dynamics, broadly. System dynamics modelling was found to have utility needed to support analysis of wicked problems. However, failure in a particular modelling project occurred when it was found necessary to rely on human judgement in estimating values to be input into the models. This was found to be problematic and unacceptably risky for sponsors of the modelling effort. Finally, this work has also identified that further study is required into: the use of human judgement in decision-making and the validity of system dynamics models that rely on the quantification of human judgement.
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Krebs, Peter Rudolf School of History & Philosophy of Science UNSW. "Artificial neural nets: a critical analysis of their effectiveness as empirical technique for cognitive modelling". 2007. http://handle.unsw.edu.au/1959.4/40475.
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This thesis is concerned with the computational modelling and simulation of physiological structures and cognitive functions of brains through the use of artificial neural nets. While the structures of these models are loosely related to neurons and physiological structures observed in brains, the extent to which we can accept claims about how neurons and brains really function based on such models depends largely on judgments about the fitness of (virtual) computer experiments as empirical evidence. The thesis examines the computational foundations of neural models, neural nets, and some computational models of higher cognitive functions in terms of their ability to provide empirical support for theories within the framework of Parallel Distributed Processing (PDP). Models of higher cognitive functions in this framework are often presented in forms that hybridise top-down (e.g. employing terminology from Psychology or Linguistics) and bottom-up (neurons and neural circuits) approaches to cognition. In this thesis I argue that the use of terminology from either approach can blind us to the highly theory-laden nature of the models, and that this tends to produce overly optimistic evaluations of the empirical value of computer experiments on these models. I argue, further, that some classes of computational models and simulations based on methodologies that hybridise top-down and bottom-up approaches are ill-designed. Consequently, many of the theoretical claims based on these models cannot be supported by experiments with such models. As a result, I question the effectiveness of computer experiments with artificial neural nets as an empirical technique for cognitive modelling.
Książki na temat "Cognitive modelling technique"
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Shaikh, Mohd Faraz. Machine Learning in Detecting Auditory Sequences in Magnetoencephalography Data : Research Project in Computational Modelling and Simulation. Technische Universität Dresden, 2021. http://dx.doi.org/10.25368/2022.411.
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Does your brain replay your recent life experiences while you are resting? An open question in neuroscience is which events does our brain replay and is there any correlation between the replay and duration of the event? In this study I tried to investigate this question by using Magnetoencephalography data from an active listening experiment. Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to study the brain activity and understand brain dynamics in perception and cognitive tasks particularly in the fields of speech and hearing. It records the magnetic field generated in our brains to detect the brain activity. I build a machine learning pipeline which uses part of the experiment data to learn the sound patterns and then predicts the presence of sound in the later part of the recordings in which the participants were made to sit idle and no sound was fed. The aim of the study of test replay of learned sound sequences in the post listening period. I have used classification scheme to identify patterns if MEG responses to different sound sequences in the post task period. The study concluded that the sound sequences can be identified and distinguished above theoretical chance level and hence proved the validity of our classifier. Further, the classifier could predict the sound sequences in the post-listening period with very high probability but in order to validate the model results on post listening period, more evidence is needed.
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Williamson, John H., Antti Oulasvirta, Per Ola Kristensson i Nikola Banovic, red. Bayesian Methods for Interaction and Design. Cambridge University Press, 2022. http://dx.doi.org/10.1017/9781108874830.
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Intended for researchers and practitioners in interaction design, this book shows how Bayesian models can be brought to bear on problems of interface design and user modelling. It introduces and motivates Bayesian modelling and illustrates how powerful these ideas can be in thinking about human-computer interaction, especially in representing and manipulating uncertainty. Bayesian methods are increasingly practical as computational tools to implement them become more widely available, and offer a principled foundation to reason about interaction design. The book opens with a self-contained tutorial on Bayesian concepts and their practical implementation, tailored for the background and needs of interaction designers. The contributed chapters cover the use of Bayesian probabilistic modelling in a diverse set of applications, including improving pointing-based interfaces; efficient text entry using modern language models; advanced interface design using cutting-edge techniques in Bayesian optimisation; and Bayesian approaches to modelling the cognitive processes of users.
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Bi, Xiaojun, Andrew Howes, Per Ola Kristensson, Antti Oulasvirta i John Williamson. Introduction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.003.0001.
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This chapter introduces the field of computational interaction, and explains its long tradition of research on human interaction with technology that applies to human factors engineering, cognitive modelling, artificial intelligence and machine learning, design optimization, formal methods, and control theory. It discusses how the book as a whole is part of an argument that, embedded in an iterative design process, computational interaction design has the potential to complement human strengths and provide a means to generate inspiring and elegant designs without refuting the part played by the complicated, and uncertain behaviour of humans. The chapters in this book manifest intellectual progress in the study of computational principles of interaction, demonstrated in diverse and challenging applications areas such as input methods, interaction techniques, graphical user interfaces, information retrieval, information visualization, and graphic design.
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Gaskell, M. Gareth, red. The Oxford Handbook of Psycholinguistics. Oxford University Press, 2007. http://dx.doi.org/10.1093/oxfordhb/9780198568971.001.0001.
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This book examines the young science of psycholinguistics, which attempts to uncover the mechanisms and representations underlying human language. This interdisciplinary field has seen massive developments over the past decade, with a broad expansion of the research base, and the incorporation of new experimental techniques such as brain imaging and computational modelling. The result is that real progress is being made in the understanding of the key components of language in the mind. This book brings together the views of seventy-five leading researchers to provide a review of the current state of the art in psycholinguistics. The contributors are eminent in a wide range of fields, including psychology, linguistics, human memory, cognitive neuroscience, bilingualism, genetics, development, and neuropsychology. Their contributions are organised into six themed sections, covering word recognition, the mental lexicon, comprehension and discourse, language production, language development, and perspectives on psycholinguistics.
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Oulasvirta, Antti, Per Ola Kristensson, Xiaojun Bi i Andrew Howes, red. Computational Interaction. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198799603.001.0001.
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This book presents computational interaction as an approach to explaining and enhancing the interaction between humans and information technology. Computational interaction applies abstraction, automation, and analysis to inform our understanding of the structure of interaction and also to inform the design of the software that drives new and exciting human-computer interfaces. The methods of computational interaction allow, for example, designers to identify user interfaces that are optimal against some objective criteria. They also allow software engineers to build interactive systems that adapt their behaviour to better suit individual capacities and preferences. Embedded in an iterative design process, computational interaction has the potential to complement human strengths and provide methods for generating inspiring and elegant designs. Computational interaction does not exclude the messy and complicated behaviour of humans, rather it embraces it by, for example, using models that are sensitive to uncertainty and that capture subtle variations between individual users. It also promotes the idea that there are many aspects of interaction that can be augmented by algorithms. This book introduces computational interaction design to the reader by exploring a wide range of computational interaction techniques, strategies and methods. It explains how techniques such as optimisation, economic modelling, machine learning, control theory, formal methods, cognitive models and statistical language processing can be used to model interaction and design more expressive, efficient and versatile interaction.
Części książek na temat "Cognitive modelling technique"
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Dimitriou, Ioannis. "Modeling and Analysis of a Relay-Assisted Cooperative Cognitive Network". W Analytical and Stochastic Modelling Techniques and Applications, 47–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61428-1_4.
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Dragieva, Velika, i Tuan Phung-Duc. "Queueing Analysis of Cognitive Radio Networks with Finite Number of Secondary Users". W Analytical and Stochastic Modelling Techniques and Applications, 18–32. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62885-7_2.
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Dai, Haihong, John G. Hughes i David A. Bell. "An Hierarchical Structure for Modelling Real-Time Domains using Object-Oriented Techniques". W AI and Cognitive Science ’92, 16–30. London: Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-3207-3_3.
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Swieczkowska, Patrycja, Rafal Rzepka i Kenji Araki. "Analyzing Motivating Texts for Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems". W Biologically Inspired Cognitive Architectures 2018, 355–60. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99316-4_47.
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Asgher, Umer, Jose Arzola Ruiz, Yasar Ayaz, Muhammad Sajid, Khurram Khalil i Sara Ali. "Multi-level Optimization of Reactive Power Compensation in Industrial Nets with Heuristic Modelling Techniques". W Advances in Neuroergonomics and Cognitive Engineering, 429–38. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51041-1_57.
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Amato, Maria E., Florence Djedaïni-Pilard, Giuseppe C. Pappalardo i Bruno Perly. "Molecular modelling and high-field NMR techniques for interactions of cognition-activator drugs with cyclodextrins". W Trends in QSAR and Molecular Modelling 92, 273–75. Dordrecht: Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-011-1472-1_43.
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Cutellic, Pierre. "Growing Shapes with a Generalised Model from Neural Correlates of Visual Discrimination". W Proceedings of the 2020 DigitalFUTURES, 68–78. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_7.
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AbstractThis paper focuses on the application of visual Event-Related Potentials (ERP) in better generalisations for design and architectural modelling. It makes use of previously built techniques and trained models on EEG signals of a singular individual and observes the robustness of advanced classification models to initiate the development of presentation and classification techniques for enriched visual environments by developing an iterative and generative design process of growing shapes. The pursued interest is to observe if visual ERP as correlates of visual discrimination can hold in structurally similar, but semantically different, experiments and support the discrimination of meaningful design solutions. Following bayesian terms, we will coin this endeavour a Design Belief and elaborate a method to explore and exploit such features decoded from human visual cognition.
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Barde, Snehlata, i Veena Kaimal. "Speech recognition technique for identification of raga". W Cognitive Informatics, Computer Modelling, and Cognitive Science, 101–17. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-819445-4.00005-9.
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Moffa, Adriano H., Donel Martin i Colleen Loo. "New Developments in the Treatment of Depression with tDCS". W The Oxford Handbook of Transcranial Stimulation, Second Edition, C37.S1—C37.S27. Wyd. 2. Oxford University Press, 2022. http://dx.doi.org/10.1093/oxfordhb/9780198832256.013.37.
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Abstract Major depressive disorder (MDD) is a common, debilitating and refractory mental disorder. The limited efficacy of pharmacotherapy has caused a growing interest in new forms of interventions like transcranial direct current stimulation (tDCS). Although tDCS is one of the most studied forms of noninvasive brain stimulation (NIBS) in the treatment of depression, results from trials are mixed and modest. This heterogeneity in efficacy outcomes is possibly due to the use of different treatment protocols and clinical characteristics of the sample. This chapter gathers the current state of the evidence on tDCS in depression treatment as a monotherapy and in combination with pharmacotherapy or cognitive interventions. It also covers the effects on cognition outcomes in depressed patients and the safety aspects of the technique. Future directions are considered, particularly home-based tDCS, the use of biomarkers to guide treatment and computational modelling to individualise stimulation parameters.
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Dilliwar, Vikas, i Mridu Sahu. "Study of modern brain-imaging and -signaling techniques for brain–computer interface". W Cognitive Informatics, Computer Modelling, and Cognitive Science, 179–95. Elsevier, 2020. http://dx.doi.org/10.1016/b978-0-12-819445-4.00009-6.
Pełny tekst źródłaStreszczenia konferencji na temat "Cognitive modelling technique"
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Duan, Jiafei, Arijit Dasgupta, Jason Fischer i Cheston Tan. "A Survey on Machine Learning Approaches for Modelling Intuitive Physics". W Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/763.
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Research in cognitive science has provided extensive evidence of human cognitive ability in performing physical reasoning of objects from noisy perceptual inputs. Such a cognitive ability is commonly known as intuitive physics. With advancements in deep learning, there is an increasing interest in building intelligent systems that are capable of performing physical reasoning from a given scene for the purpose of building better AI systems. As a result, many contemporary approaches in modelling intuitive physics for machine cognition have been inspired by literature from cognitive science. Despite the wide range of work in physical reasoning for machine cognition, there is a scarcity of reviews that organize and group these deep learning approaches. Especially at the intersection of intuitive physics and artificial intelligence, there is a need to make sense of the diverse range of ideas and approaches. Therefore, this paper presents a comprehensive survey of recent advances and techniques in intuitive physics-inspired deep learning approaches for physical reasoning. The survey will first categorize existing deep learning approaches into three facets of physical reasoning before organizing them into three general technical approaches and propose six categorical tasks of the field. Finally, we highlight the challenges of the current field and present some future research directions.
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Stacey, Martin, P. John Clarkson i Claudia Eckert. "Signposting: An AI Approach to Supporting Human Decision Making in Design". W ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/cie-14617.
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Abstract Artificial intelligence provides powerful techniques for formalising the art of engineering problem solving: for modelling products, describing task structures, and representing problem solving expertise as inference knowledge and control knowledge. Signposting systems extend the scope of these methods beyond automatic design by using them to provide both information and guidance for decision-making by human designers. This paper outlines the application of AI methods according to cognitive engineering considerations, to the development of knowledge management tools for engineering design. These tools go beyond conventional knowledge management and decision support approaches by supplying both inference knowledge and strategic problem solving knowledge to the user, as well as information about the state of the design. By focusing on tasks and on the dependencies between design parameters, signposting systems support contingent and flexible organisation of activities. Such tools can support product modelling, design process planning and capturing expert design knowledge, in a form that can be used directly to guide the organisation of design activities and the performance of individual tasks. A key element of this approach is the incremental acquisition of product models, task structures and problem solving knowledge by defining variant cases.