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Related Concept Videos

Combining Functions01:16

Combining Functions

Functions can be combined to form new mathematical models that describe interactions between variables. These combinations are fundamental in understanding relationships between changing quantities and are commonly encountered in scientific and engineering contexts. The combination methods—addition, subtraction, multiplication, division, and composition—each have unique implications for the resulting function’s domain and behavior.When combining functions through arithmetic operations, such...
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On the necessity of alignment: reply to Costello and Keane (2001).

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Related Experiment Video

Updated: Jun 4, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

When concepts combine.

E J Wisniewski1

  • 1Department of Psychology, Northwestern University, Swift Hall, 2029 Sheridan Rd., 60208-2710, Evanston, IL, edw@nwu.edu.

Psychonomic Bulletin & Review
|February 19, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a computational model for concept combination, revealing that comparison and construction processes are crucial for understanding how concepts merge and change. These processes are also key to interpreting nominal metaphors, challenging existing theories.

Related Experiment Videos

Last Updated: Jun 4, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Area of Science:

  • Cognitive Science
  • Computational Linguistics
  • Psychology

Background:

  • Current models of conceptual combination do not fully explain how people merge and alter concepts.
  • Existing theories of metaphor understanding often focus on only one aspect of conceptual processing.

Purpose of the Study:

  • To present a computational-level account of human conceptual combination.
  • To evaluate existing models of conceptual combination against this account.
  • To propose an algorithmic-level description of conceptual combination, incorporating new processes.

Main Methods:

  • Developing a computational framework for conceptual combination.
  • Analyzing the processes involved in concept merging and change.
  • Examining the role of comparison and construction in metaphor interpretation.

Main Results:

  • The proposed computational account highlights the necessity of comparison and construction processes.
  • These processes are essential for explaining how concepts combine and evolve.
  • Nominal metaphor interpretation also relies on both comparison and construction, contrary to current models.

Conclusions:

  • A more comprehensive model of conceptual combination requires integrating both comparison and construction.
  • Understanding nominal metaphors benefits from a dual-process approach (comparison and construction).
  • This work advances theories in cognitive science and computational linguistics regarding concept representation and processing.