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Hedda R. Schmidtke

November 11, 2016
by hedda@uoregon.edu
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Research Opportunities

Cognitive systems at the reasoning-perception interface

Human reasoning uses analogies, metaphors, and analogous representations to greatly expand our horizons: we “grasp” a concept, or “see” how a complex phenomenon works. While many animals have amazing problem solving skills, human cognition is unique in its ability for higher reasoning, yet there is an explanatory gap between logic/mathematics and the associative structures we know underly human and animal cognition. Thanks to recent discoveries, we have a better understanding of this interface, which opens new pathways for both foundational and applied projects.

Other Projects

Multi-granular modeling

  • Forest granularities
    • Multi-granular model of forest ecosystems
    • Classification of forest types based on multi-granular model
  • Multi-granular aspects of global value chains
    • Multi-granular model of the high-tech sector
    • Micro-macro interactions

Mapping the global internet

  • Map visualization of timing and error problems of the global internet

August 6, 2015
by hedda@uoregon.edu
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New Journal First Articles

The new Journal of Reliable Intelligent Environments has published its first issue and welcomes submissions in all areas related to making technologies such as Smart Spaces, Ubiquitous Computing, and Geosensor Networks predictable, secure, privacy preserving, and safe and easy to use.

  • Covers intelligent environments of any scale, ranging from smart materials and wearable networks in clothes, to smart buildings and systems of geographic scale, such as smart cities and geosensor networks
  • Encourages and disseminates all types of techniques, methods and tools which can make Intelligent Environments safer to use, more widely accepted and trusted, more resilient to hardware and software problems
  • Examines every stage from equipment selection to modeling, scalability, testing and verification to large scale integration and deployment.

This journal focuses on theoretical developments and lessons learned in the deployment of Intelligent Environments. The coverage is broad, open and flexible, embracing all types of techniques which can increase confidence in Intelligent Environments systems.

Disclaimer

This site is maintained by the author for personal and professional communications as authorized by the University of Oregon’s computer use policies. Unless otherwise indicated, the content and opinions expressed on this web site do not necessarily reflect the views of nor are they endorsed by the University of Oregon or the Oregon University System.

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