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Higher-Order Task Models
[chapter]
2003
Lecture Notes in Computer Science
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As a consequence, higher-order actions are possible. The suggested approach is an answer to the need for more dynamic task models. ...
Based on a revision of the common task understanding in model-based approaches a formal meta model is proposed which allows more expressive task descriptions. ...
Higher-order task models support context sensitive task descriptions as well as refined specifications of cooperative tasks. ...
doi:10.1007/978-3-540-39929-2_13
fatcat:qwr3wbxsuzd2bdhdsm326qkgui
Compact task representations as a normative model for higher-order brain activity
2020
Neural Information Processing Systems
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Higher-order brain areas such as the frontal cortices are considered essential for the flexible solution of tasks. However, the precise computational role of these areas is still debated. ...
Indeed, even for the simplest of tasks, we cannot really explain how the measured brain activity, which evolves over time in complicated ways, relates to the task structure. ...
Discussion In this article we have proposed a new, normative framework for modeling and understanding higher-order brain activity. ...
dblp:conf/nips/BergerM20
fatcat:brovtxu7x5gslic6vyla2kxbra
The role of formative feedback in promoting higher order thinking skills in classrooms: a theoretical model
2016
African Research Review
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The purpose of this paper is to propose a theoretical feedback model that can promote higher order thinking. ...
However, very few studies have been conducted to examine the role feedback plays in promoting higher order thinking. ...
Figure 1 . 1 A feedback model to promote higher order thinking skills. ...
doi:10.4314/afrrev.v10i5.11
fatcat:2g4sewzfknectoau24t47oeage
Robust Priority Assignment for Fixed Priority Real-Time Systems
2007
28th IEEE International Real-Time Systems Symposium (RTSS 2007)
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The paper describes a Robust Priority Assignment algorithm that can find the robust priority ordering for a wide range of fixed priority system models and additional interference functions. ...
as interrupts, operating system overheads, exception handling, cycle stealing, and task execution time overruns. ...
response time of a task is dependent on the set of higher priority tasks, but not on the relative priority ordering of those tasks. ...
doi:10.1109/rtss.2007.11
dblp:conf/rtss/DavisB07
fatcat:pdbfadp4dzdt3a66fftugvurqq
The model of hierarchical complexity as a measurement system
2014
Behavioral Development Bulletin
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of orders of hierarchical complexity of tasks. ...
In this paper, the components of the model will be described: actions and tasks, measurement and operations, and the axioms, followed by an articulation of emerging properties from axioms, and then a description ...
This paper substantializes axioms and definitions of the model, which provides theoretical foundation for utilizing the model to measure the task order of actions. ■ Definition 3 . 3 A higher order hierarchically ...
doi:10.1037/h0100583
fatcat:svidsv2vlfarde6gszam4bjkoa
Introduction to the model of hierarchical complexity
2007
Behavioral Development Bulletin
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The participant's performance on a task of a given complexity represents the stage of developmental complexity. ...
The Model of Hierarchical Complexity presents a framework for scoring reasoning stages in any domain as well as in any cross cultural setting. ...
Higher order actions defined in terms of lower order actions. This forces the hierarchical nature of the relations and makes the higher order tasks include the lower ones 2. ...
doi:10.1037/h0100493
fatcat:v6m6kei7obdvpfcw7bm54c4lja
Enhanced Higher Order Orthogonal Iteration Algorithm for Student Performance Prediction
[chapter]
2015
Advances in Intelligent Systems and Computing
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Such systems may be modeled using a three-mode tensor where the three entities are user, skill, and task. ...
Recommendation systems have been implemented using Dimensionality reduction techniques like Higher Order Singular Value Decomposition (HOSVD) combined with Kernel smoothing techniques to bring out good ...
Higher Order Orthogonal Iteration-Base Model 2 Higher Order Orthogonal Iteration is an iterative algorithm to compute better low-rank approximation to tensors than HOSVD. ...
doi:10.1007/978-81-322-2517-1_61
fatcat:outesy6tgbfz7mvy6rnu2mldwi
Another look at creativity and intelligence: Exploring higher-order models and probable confounds
2008
Personality and Individual Differences
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Creativity was modestly related to the three lower-order cognitive factors, but it was substantially related (β = .43) to a higher-order intelligence factor composed of the lower-order factors. ...
Most studies have assessed creativity and intelligence with observed scores, not as latent variables, and few studies have examined higher-order latent intelligence factors. ...
The higher-order model is shown in Fig. 1 . ...
doi:10.1016/j.paid.2007.10.027
fatcat:sfumj4amvfaj7mmgbsjzz46gcq
Muscle Activity Analysis using Higher-Order Tensor Decomposition: Application to Muscle Synergy Extraction
2019
IEEE Access
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We expect that this study will pave the way for the development of novel muscle activity analysis methods based on higher-order techniques. ...
Higher-order tensor decompositions have hardly been used in muscle activity analysis despite multichannel electromyography (EMG) datasets naturally occurring as multi-way structures. ...
The first step to create a higher-order synergy model is to prepare the data in higher order tensor form. ...
doi:10.1109/access.2019.2902122
fatcat:5hqusdig7fhsrerliri6p6szje
EXO OLO TASK Learning Model: What Should Students do in the Class?
2019
Sumatra Journal of Disaster, Geography and Geography Education
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The advantages of this learning model are: 1) can develop creativity, critical thinking, communication and collaboration and higher-order thinking skills of students as the core of 21st century learning ...
This model has four syntaxes, namely, 1) strengthening concepts, 2) EXO TASK, 3) OLO TASK, 4) Reflection. ...
Result and Discussion EXO -OLO TASK Learning Model is based on collaborative nuance of contructivistic learning theory on Geography learning which aims to develop students' higher order thinking skills ...
doi:10.24036/sjdgge.v3i1.191
fatcat:4zkye5qulzfodhdtinssewemqa
Sequence Labeling with Non-Negative Weighted Higher Order Features
2021
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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In this paper, we propose a new exact decoding algorithm under the assumption that weights of all higher order features are non-negative. ...
In sequence labeling, using higher order features leads to high inference complexity. A lot of studies have been conducted to address this problem. ...
Recently, sparse higher order models are proposed, such as Sparse Higher Order CRFs (SHO-CRFs) (Qian et al. 2009) . ...
doi:10.1609/aaai.v26i1.8280
fatcat:qpy6vh6ayfejthx5kagf6iqifa
Consistency of Muscle Synergies Extracted via Higher-Order Tensor Decomposition Towards Myoelectric Control
2019
2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)
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2020 pre-print arXiv:2007.01944v1 fatcat:ds4hl3xmkrecnhtyd2iejkqxlq
In addition, NMF methods were viable only with a task dimension of 2 degrees of freedoms(DoFs). Here, the potential use of a higher-order tensor model for myoelectric control is explored. ...
Synergies extracted from 3rd-order tensor of 1 and 3 DoFs were compared. ...
Therefore, the muscle activity naturally fits into a higher-order tensor model. ...
doi:10.1109/ner.2019.8717076
dblp:conf/ner/EbiedKE19
fatcat:elz3n543y5amxihqpcjot2b32m
On the division of short-term and working memory: An examination of simple and complex span and their relation to higher order abilities
2007
Psychological bulletin
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Research has suggested that short-term memory and working memory (as measured by simple and complex span tasks, respectively) are separate constructs that are differentially related to higher order cognitive ...
Kane, Hambrick, & Conway, 2005, p. 66) Thus, the existing evidence, though scanty, is consistent with the hypotheses that WM and STM are distinct but related and that WM plays a greater role than STM in higher-order ...
other three models suggested that the WM residual variance was not related to higher order cognition. ...
doi:10.1037/0033-2909.133.6.1038
pmid:17967093
fatcat:ogau3e3yrnhzlhi77xxxv3pt7a
HAN: Higher-order Attention Network for Spoken Language Understanding
[article]
2021
arXiv
pre-print
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task. ...
Previous works mainly focus on jointly modeling the relationship between the two subtasks with attention-based models, while ignoring the exploration of attention order. ...
This further verifies the generalization of the effectiveness of the higher-order attention on the SLU task. ...
arXiv:2108.11916v1
fatcat:dtxfcy3dtjfqrn4633fyj4275y
Complex working memory span tasks and higher-order cognition: A latent-variable analysis of the relationship between processing and storage
2009
Memory
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Complex span tasks, assumed by many to measure an individual's working memory capacity, are predictive of several aspects of higher-order cognition. ...
However, the underlying cause of the relationships between "processing-and-storage" tasks and cognitive abilities is still hotly debated nearly 30 years after the tasks were first introduced. ...
tasks are effective in predicting higher-order cognitive abilities. ...
doi:10.1080/09658210902998047
pmid:19536691
fatcat:jp2yoq6fzvfq3deldr4k5qceju
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