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Related Experiment Videos

Problem solving as model refinement: towards a constructivist epistemology.

George F Luger1, Joseph Lewis, Carl Stern

  • 1Department of Computer Science, University of New Mexico, Albuquerque, N. Mex. 87131, USA. luger@cs.unm.edu

Brain, Behavior and Evolution
|July 5, 2002
PubMed
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Artificial intelligence research explores complex problem-solving domains, mimicking human expert performance in areas like robot navigation and particle accelerator control. This work highlights how computational models can illuminate intellectual performance and support constructivist learning.

Area of Science:

  • Artificial Intelligence
  • Cognitive Science
  • Robotics
  • Control Systems

Background:

  • The Artificial Intelligence research group at the University of New Mexico investigates complex problem-solving domains.
  • Research spans from low-level robot exploration and mapping to sophisticated control algorithms for particle beam accelerators.
  • Computational approaches in AI often mirror human expert performance in similar complex tasks.

Purpose of the Study:

  • To describe three distinct task domains investigated by the AI research group.
  • To present the software algorithms developed for achieving competent performance in these domains.
  • To explore the relationship between software models of domains and intellectual performance.

Main Methods:

Related Experiment Videos

  • Development of sophisticated software algorithms for complex problem-solving.
  • Implementation of AI approaches to mimic human expert strategies in exploration and control.
  • Utilizing exploratory problem-solving and model refinement algorithms.

    • Main Results:

    • Successful development of computer-based problem solvers demonstrating competent performance.
    • AI-driven robot successfully explored and mapped its environment.
    • Sophisticated control algorithms achieved optimal use of particle beam accelerators.

    Conclusions:

    • Software models of a domain can provide insights into intellectual performance within that context.
    • Exploratory problem-solving and model refinement algorithms support a constructivist epistemology.
    • AI research offers valuable parallels to human expert cognition and learning.