Human Resource Scheduling in Performing a Sequence of Discrete Responses

Abstract

The proposal had three original objectives: (1) extension of central bottleneck models as the basis for computational models of sequence behavior, (2) emergent properties in scheduling behavioral sequences; and (3) optimising performance in sequence behavior. The objectives have broadened to include reinforcement learning in sampling spatially distributed probabilistic information sources. Not only is variability in the spatial distribution of information a central feature of many military environments (e.g., radar operations), its study will also serve as the foundation for generalizing results with linear scan paths characteristic of reading to fully 2-dimensional scans characteristic of knowledge intensive tasks, such as radar operations.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2007
Accession Number
ADA473629

Entities

People

  • Harold Pashler
  • Roger W. Remington
  • Shu-chieh Wu

Organizations

  • University of Queensland

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Elevation
  • Environment
  • Eye
  • Eye Movements
  • Human Resources
  • Information Processing
  • Learning
  • Personnel Management
  • Psychology
  • Reinforcement Learning
  • Sampling
  • Scheduling (Production)
  • Sequences
  • Spatial Distribution
  • Two Dimensional
  • Universities

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Radar Systems Engineering.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms