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Higher-Order Task Models [chapter]

Anke Dittmar, Peter Forbrig
2003 Lecture Notes in Computer Science  
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

Severin Berger, Christian K. Machens
2020 Neural Information Processing Systems  
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

Paul Kwame Butakor
2016 African Research Review  
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

R. I. Davis, A. Burns
2007 28th IEEE International Real-Time Systems Symposium (RTSS 2007)  
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

Michael Lamport Commons, Robin Gane-McCalla, Cory David Barker, Eva Yujia Li
2014 Behavioral Development Bulletin  
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

Michael Lamport Commons
2007 Behavioral Development Bulletin  
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]

Prema Nedungadi, T. K. Smruthy
2015 Advances in Intelligent Systems and Computing  
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

Paul J. Silvia
2008 Personality and Individual Differences  
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

Ahmed Ebied, Eli Kinney-Lang, Loukianos Spyrou, Javier Escudero
2019 IEEE Access  
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?

Nofrion N, Rahmanelli Rahmanelli, Yurni Suasti, Khairani Khairani, Bayu Wijayanto, Bigharta Bekti Susetyo, Rery Novio, Surtani Surtani
2019 Sumatra Journal of Disaster, Geography and Geography Education  
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

Xian Qian, Yang Liu
2021 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
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

Ahmed Ebied, Eli Kinney-Lang, Javier Escudero
2019 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER)  
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

Nash Unsworth, Randall W. Engle
2007 Psychological bulletin  
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]

Dongsheng Chen, Zhiqi Huang, Yuexian Zou
2021 arXiv   pre-print
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

Nash Unsworth, Thomas S. Redick, Richard P. Heitz, James M. Broadway, Randall W. Engle
2009 Memory  
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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