Demonstration of task representations consisting of selected elements
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-4: Work Task and Information Task Taxonomies Work Task Types
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Concept of Set theory|Definition of set |Representation of Set |Discrete Mathematics
Canonical form Meaning
Prof. Yael Niv of Princeton University on brain and behavior
Allocentric Meaning
Group Representations
How to explain a chemical equation(class 10)?| Explain For Camical Equition| Camical Equition
COMMENTS
Learning task-state representations
Reinforcement learning relies on representation of tasks as sequences of states. Designing the correct state space for each task is critical in RL 26, 27, 28. First, different state ...
Dynamics of Hierarchical Task Representations
Task representations are critical for cognitive control and adaptive behavior. The hierarchical organization of task representations allows humans to maintain goals, integrate information across varying contexts, and select potential responses. In this study we characterized the structure and interactive dynamics of task representations that facilitate cognitive control. Human participants ...
What Is a Task and How Do You Know If You Have One or More?
The dominant description of task representations is the task set, a collection of SR associations, whose presence is inferred primarily through task-switch costs. However, we argue that this approach has serious limitations that are often ignored.
Transforming task representations to perform novel tasks
We begin by learning vector representations of tasks. To adapt to new tasks, we propose metamappings, higher-order tasks that transform basic task representations. We demonstrate the effectiveness of this framework across a wide variety of tasks and computational paradigms, ranging from regression to image classification and reinforcement learning.
Task representations in neural networks trained to perform many
This work provides a computational platform to investigate neural representations of many cognitive tasks. Prefrontal cortex can be flexibly engaged in many different tasks.
Learning task-state representations
Reinforcement learning relies on representation of tasks as sequences of states. Designing the correct state space for each task is critical in RL [ 26 - 28 ]. First, different state representations will lead to different optimal action policies, some of which may never lead to the desired goal.
People construct simplified mental representations to plan
Here we examine the consequences of this principle for how humans flexibly construct simplified task representations to plan. Fig. 1: Construal and planning. a, A satellite photo of Princeton, New ...
Dynamics of Hierarchical Task Representations
Task representations are critical for cognitive control and adaptive behavior. The hierarchical organization of task representations allows humans to maintain goals, integrate information across varying contexts, and select potential responses. In this study we characterized the structure and interactive dynamics of task representations that ...
The representational dynamics of task and object processing in ...
Combining MEG and fMRI data, we reveal a parallel rise in task-related signals throughout the cerebral cortex, with an increasing dominance of task over object representations from early to higher visual areas. Collectively, our results reveal the complex dynamics underlying task and object representations throughout human cortex.
Abstract task representations for inference and control
The basic and clinical scientific interest in behavioral flexibility, combined with recent advances in computational tools and increasingly explicit cognitive neuroscience theory, has brought forth a torrent of new research into the neural representations and circuits that support abstract task representations.
Measuring task structure with transitional response times: Task
The structure of task representations is widely studied with task-switching procedures in which the experimenter compares performance across predetermined categories of trial transitions (viz., switch costs). This approach has been productive, but relies on experimental assumptions about the relationships among stimulus-response mappings that define a set. Here, we develop a novel method of ...
Frontiers
What are task-sets: a single, integrated representation or a collection of multiple control representations? Dragan Rangelov 1* Thomas Töllner 1 Hermann J. Müller 1,2 Michael Zehetleitner 1
Task analysis
Task analysis often results in a hierarchical representation of what steps it takes to perform a task for which there is a goal and for which there is some lowest-level "action" or interaction among humans and/or machines: this is known as hierarchical task analysis.
PDF How Task Representations Guide Attention: Further Evidence for the
More pre-cisely, we assume that task representations that provide a general rule can reduce interference from stimulus features that are not part of the task representation by narrowing the focus of attention toward the response-discriminating stimulus features.
Abstract task representations for inference and control
What is an abstract task representation? Abstract task representations have been cited with different nomenclature and definitions in a wide range of research domains where knowledge that permits processes of generalization and inference can explain behavioral and neural data.
Task set and prefrontal cortex
A task set is a configuration of cognitive processes that is actively maintained for subsequent task performance. Single-unit and brain-imaging studies have identified the neural correlates for task sets in the prefrontal cortex.
Toward A Formal Definition of Task Representation
The issues raised by this paper are fundamental for evolving a practical representation for tasks within a decision support framework. These issues are not artifacts c) Inspection of the task Analysis. description according to specified criteria for consistency, non-redundency, etc.
Task representation in writing about literature
Abstract When asked to write, novices and experts alike define their tasks differently. This paper presents an extensive menu of strategies and goals for reading and writing about literature, and analyzes their various costs and benefits. It contrasts three kinds of non-interactive task definitions, either text- or reader-based, with three types of interactive task definitions that show how ...
(PDF) The Role of Task Representation in Completing an Integrated L2
PDF | On Jan 1, 2020, Pucheng Wang and others published The Role of Task Representation in Completing an Integrated L2 Writing Task: Evidence from Eye-Tracking and Stimulated Recall | Find, read ...
Shared Task Representation for Human-Robot Collaborative ...
In a more general sense, HRCN should include multitasking, human-robot joint-tasks, multifinal goals and actions, task allocation, team-role assignment, shared knowledge representation, mental models and agent preferences.
Full article: Task design for graphs: rethink multiple representations
ABSTRACT It is well known that students benefit from opportunities to interpret and create different representations (e.g., diagrams, graphs, tables, symbols) of mathematical ideas. Employing Marton's Variation theory as a lens, I argue for an expansion of the use of multiple representations in task design for graphs: Incorporate two different forms of the same type of graph to represent a ...
Logic and Theory of Representation
Underlying the theory of inferences, a primary task of logic is language analysis. Such a task can be understood as depending on a general theory of representation, taking as a starting point the idea that some entities ('representations') can present some entities ('contents'). We outline a theory of representation accounting for the ...
Learning Task-oriented Disentangled Representations for Unsupervised
The contributions of this paper are as follows: We propose to learn task-oriented representations for un-supervised domain adaptation. By breaking the concept of task-orientation into task-relevance and task-irrelevance, we disentangle the learned representations into task-relevant and task-irrelevant ones.
TagOOD: A Novel Approach to Out-of-Distribution Detection via Vision
Multimodal fusion, leveraging data like vision and language, is rapidly gaining traction. This enriched data representation improves performance across various tasks. Existing methods for out-of-distribution (OOD) detection, a critical area where AI models encounter unseen data in real-world scenarios, rely heavily on whole-image features. These image-level features can include irrelevant ...
IMAGES
VIDEO
COMMENTS
Reinforcement learning relies on representation of tasks as sequences of states. Designing the correct state space for each task is critical in RL 26, 27, 28. First, different state ...
Task representations are critical for cognitive control and adaptive behavior. The hierarchical organization of task representations allows humans to maintain goals, integrate information across varying contexts, and select potential responses. In this study we characterized the structure and interactive dynamics of task representations that facilitate cognitive control. Human participants ...
The dominant description of task representations is the task set, a collection of SR associations, whose presence is inferred primarily through task-switch costs. However, we argue that this approach has serious limitations that are often ignored.
We begin by learning vector representations of tasks. To adapt to new tasks, we propose metamappings, higher-order tasks that transform basic task representations. We demonstrate the effectiveness of this framework across a wide variety of tasks and computational paradigms, ranging from regression to image classification and reinforcement learning.
This work provides a computational platform to investigate neural representations of many cognitive tasks. Prefrontal cortex can be flexibly engaged in many different tasks.
Reinforcement learning relies on representation of tasks as sequences of states. Designing the correct state space for each task is critical in RL [ 26 - 28 ]. First, different state representations will lead to different optimal action policies, some of which may never lead to the desired goal.
Here we examine the consequences of this principle for how humans flexibly construct simplified task representations to plan. Fig. 1: Construal and planning. a, A satellite photo of Princeton, New ...
Task representations are critical for cognitive control and adaptive behavior. The hierarchical organization of task representations allows humans to maintain goals, integrate information across varying contexts, and select potential responses. In this study we characterized the structure and interactive dynamics of task representations that ...
Combining MEG and fMRI data, we reveal a parallel rise in task-related signals throughout the cerebral cortex, with an increasing dominance of task over object representations from early to higher visual areas. Collectively, our results reveal the complex dynamics underlying task and object representations throughout human cortex.
The basic and clinical scientific interest in behavioral flexibility, combined with recent advances in computational tools and increasingly explicit cognitive neuroscience theory, has brought forth a torrent of new research into the neural representations and circuits that support abstract task representations.
The structure of task representations is widely studied with task-switching procedures in which the experimenter compares performance across predetermined categories of trial transitions (viz., switch costs). This approach has been productive, but relies on experimental assumptions about the relationships among stimulus-response mappings that define a set. Here, we develop a novel method of ...
What are task-sets: a single, integrated representation or a collection of multiple control representations? Dragan Rangelov 1* Thomas Töllner 1 Hermann J. Müller 1,2 Michael Zehetleitner 1
Task analysis often results in a hierarchical representation of what steps it takes to perform a task for which there is a goal and for which there is some lowest-level "action" or interaction among humans and/or machines: this is known as hierarchical task analysis.
More pre-cisely, we assume that task representations that provide a general rule can reduce interference from stimulus features that are not part of the task representation by narrowing the focus of attention toward the response-discriminating stimulus features.
What is an abstract task representation? Abstract task representations have been cited with different nomenclature and definitions in a wide range of research domains where knowledge that permits processes of generalization and inference can explain behavioral and neural data.
A task set is a configuration of cognitive processes that is actively maintained for subsequent task performance. Single-unit and brain-imaging studies have identified the neural correlates for task sets in the prefrontal cortex.
The issues raised by this paper are fundamental for evolving a practical representation for tasks within a decision support framework. These issues are not artifacts c) Inspection of the task Analysis. description according to specified criteria for consistency, non-redundency, etc.
Abstract When asked to write, novices and experts alike define their tasks differently. This paper presents an extensive menu of strategies and goals for reading and writing about literature, and analyzes their various costs and benefits. It contrasts three kinds of non-interactive task definitions, either text- or reader-based, with three types of interactive task definitions that show how ...
PDF | On Jan 1, 2020, Pucheng Wang and others published The Role of Task Representation in Completing an Integrated L2 Writing Task: Evidence from Eye-Tracking and Stimulated Recall | Find, read ...
In a more general sense, HRCN should include multitasking, human-robot joint-tasks, multifinal goals and actions, task allocation, team-role assignment, shared knowledge representation, mental models and agent preferences.
ABSTRACT It is well known that students benefit from opportunities to interpret and create different representations (e.g., diagrams, graphs, tables, symbols) of mathematical ideas. Employing Marton's Variation theory as a lens, I argue for an expansion of the use of multiple representations in task design for graphs: Incorporate two different forms of the same type of graph to represent a ...
Underlying the theory of inferences, a primary task of logic is language analysis. Such a task can be understood as depending on a general theory of representation, taking as a starting point the idea that some entities ('representations') can present some entities ('contents'). We outline a theory of representation accounting for the ...
The contributions of this paper are as follows: We propose to learn task-oriented representations for un-supervised domain adaptation. By breaking the concept of task-orientation into task-relevance and task-irrelevance, we disentangle the learned representations into task-relevant and task-irrelevant ones.
Multimodal fusion, leveraging data like vision and language, is rapidly gaining traction. This enriched data representation improves performance across various tasks. Existing methods for out-of-distribution (OOD) detection, a critical area where AI models encounter unseen data in real-world scenarios, rely heavily on whole-image features. These image-level features can include irrelevant ...