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Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
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The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
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Complex numbers, represented in Cartesian coordinates, can also be visualized as vectors. These vectors can be expressed in polar form, emphasizing their magnitude and angle. When a complex number is input into a function, the output is another complex number, highlighting the function's zero point from which the vector representation can originate.
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Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
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Towards a Multi-level Exploration of Human and Computational Re-representation in Unified Cognitive Frameworks.

Ana-Maria Olteţeanu1, Mikkel Schöttner1, Arpit Bahety1

  • 1Creative Cognitive Systems, Human-Centered Computing, Institute of Computer Science, Freie Universität Berlin, Berlin, Germany.

Frontiers in Psychology
|May 23, 2019
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Summary

This study introduces a multi-level cognitive approach to understanding re-representation, crucial for human and computational creativity. Findings reveal significant correlations between different re-representation tasks, enhancing cognitive modeling.

Keywords:
cognitive systemscomputational modelingcreative problem-solvingcreativityre-representation

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Area of Science:

  • Cognitive Science
  • Artificial Intelligence
  • Psychology

Background:

  • Re-representation is key to human creative problem-solving.
  • Computational cognitive systems require effective re-representation modeling.
  • Existing research lacks a unified approach to studying re-representation.

Purpose of the Study:

  • To propose a unified multi-level cognitive approach to investigate re-representation.
  • To explore sensory-based, concept-based, and problem template-based re-representations.
  • To computationally model cognitive systems for creative problem-solving.

Main Methods:

  • Developed a unified multi-level cognitive framework.
  • Designed and deployed a study to investigate tasks reflecting re-representation.
  • Replicated two previous studies from the literature.

Main Results:

  • Discovered significant correlations between various re-representation tasks.
  • Observed a new strong and significant relationship between the Pattern Meanings Test and the Alternative Uses Test.
  • Validated the proposed multi-level cognitive approach.

Conclusions:

  • The multi-level cognitive approach provides a robust framework for studying re-representation.
  • Understanding re-representation is vital for advancing both human and artificial creativity.
  • Further computational modeling can be built upon these findings.