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Relations among functional systems in behavior analysis.

Travis Thompson1

  • 1Autism Program, Department of Pediatrics, MMC 486 Mayo, University of Minnesota School of Medicine, 420 Delaware, Minneapolis, MN 55455, USA. thomp199@umn.edu

Journal of the Experimental Analysis of Behavior
|June 20, 2007
PubMed
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Operant behavior is a biological system, not separate from biology. Behavior analysis can integrate biological and behavioral variables for a more complete understanding.

Area of Science:

  • Behavioral Biology
  • Systems Biology
  • Behavior Analysis

Background:

  • Traditional distinctions between biological and behavioral events are often misleading.
  • This separation can lead to counterproductive explanatory controversies in science.
  • Many biological phenomena, previously considered inaccessible, are becoming measurable.

Purpose of the Study:

  • To propose that an organism's operant behavior repertoire functions as a biological system.
  • To demonstrate that biological and behavioral events are not mutually exclusive.
  • To suggest a more integrated approach to understanding behavior and biological systems.

Main Methods:

  • Reviewing evidence from various scientific sources.
  • Analyzing the role of endogenous variables within a functional analysis of behavior.

Related Experiment Videos

  • Examining the potential for currently available and developing technologies to measure biological variables.
  • Main Results:

    • Operant behavior can be conceptualized as a biological system analogous to nervous or immune systems.
    • Endogenous variables can be publicly measured and integrated into behavioral analyses.
    • These variables can function as key components (establishing operations, discriminative stimuli, etc.) in functional analyses.

    Conclusions:

    • The integration of biological and behavioral analyses offers a more comprehensive explanatory framework.
    • Behavior analysis can be extended by identifying variables with functions across multiple biological systems.
    • Avoiding conflation of different levels of analysis is crucial for scientific understanding.