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Modeling human reasoning. Enhancing human performance. Modeling human reasoning. Enhancing human performance. Modeling human reasoning. Enhancing human performance.
  • ABOUT
  • EXPERTISE
    • Autonomous Platforms
    • Cyberspace
    • Decision Support
    • Intelligent Systems
  • KNOWLEDGE CENTER
  • News & Events
  • CAREERS
    • Career Opportunities
    • Ann Arbor
    • Orlando
  • Contact

CROSS CUTTING

Home / CROSS CUTTING
Discovery of High-Level Behavior From Observation of Human Performance

Discovery of High-Level Behavior From Observation of Human Performance

CROSS CUTTING

This paper explores the issues faced in creating a system that can learn tactical human behavior merely by observing a human perform the behavior in a simulation. More specifically, this paper [...]

An Autonomic Architecture for Organically Reconfigurable Computing Systems

An Autonomic Architecture for Organically Reconfigurable Computing Systems

CROSS CUTTING

We introduce an autonomic hardware architecture for self adapting sustainable performance. This architecture utilizes a two-tiered approach to synergize lower-level organic computing elements and [...]

Comparing Modeling Idioms in ACT-R and Soar

Comparing Modeling Idioms in ACT-R and Soar

CROSS CUTTING

This paper examines some of the constraints on cognition assumed and imposed by the ACT-R and Soar cognitive architectures. In particular, we study how these constraints either encourage or [...]

An Abstract Language for Cognitive Modeling

An Abstract Language for Cognitive Modeling

CROSS CUTTING

Cognitive architectures provide a definition of an abstract machine to support programming of cognitive models and intelligent systems. The point of the abstract machine is to provide the most [...]

Evaluating Integrated, Knowledge-Rich Cognitive Systems

Evaluating Integrated, Knowledge-Rich Cognitive Systems

CROSS CUTTING

This paper argues the position that an essential approach to the advancement of the state of the art in cognitive systems is to focus on systems that deeply integrate knowledge representations, [...]

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