The Closed-Loop Dynamics of Cognitive Work

John M. Flach; Kevin B. Bennett; Richard J. Jagacinski; Max Mulder; Rene van Paassen

doi:10.1093/oxfordhb/9780199757183.013.0002

The Closed-Loop Dynamics of Cognitive Work

John M. Flach, Kevin B. Bennett, Richard J. Jagacinski, Max Mulder, Rene van Paassen

Wright State University

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

This chapter provides a tutorial introduction to the logic of closed-loop systems. A series of examples is presented to illustrate the dynamics of closed-loop systems and to contrast the behavior of these systems with expectations suggested by the logic of open-loop causal systems. In particular, the examples show that “feedback” per se is insufficient to guarantee convergence on a target. The chapter explores some of the issues that must be addressed in order to determine whether closed-loop systems will be stable. Parallels to the phenomena of cognition in the wild are highlighted, and the case is made that the logic of closed-loop systems is an essential foundation for understanding the behavior of cognitive systems.

Original language	American English
Title of host publication	The Oxford Handbook of Cognitive Engineering
DOIs	https://doi.org/10.1093/oxfordhb/9780199757183.013.0002
State	Published - Jan 1 2013

Keywords

Abduction
Adaptive Control
Close-Loop Control
Observer
Self-Organization

Disciplines

Psychology
Social and Behavioral Sciences

Access to Document

10.1093/oxfordhb/9780199757183.013.0002License: Unspecified

Cite this

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title = "The Closed-Loop Dynamics of Cognitive Work",

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AB - This chapter provides a tutorial introduction to the logic of closed-loop systems. A series of examples is presented to illustrate the dynamics of closed-loop systems and to contrast the behavior of these systems with expectations suggested by the logic of open-loop causal systems. In particular, the examples show that “feedback” per se is insufficient to guarantee convergence on a target. The chapter explores some of the issues that must be addressed in order to determine whether closed-loop systems will be stable. Parallels to the phenomena of cognition in the wild are highlighted, and the case is made that the logic of closed-loop systems is an essential foundation for understanding the behavior of cognitive systems.

KW - Abduction

KW - Adaptive Control

KW - Close-Loop Control

KW - Observer

KW - Self-Organization

UR - https://corescholar.libraries.wright.edu/psychology/271

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M3 - Chapter

BT - The Oxford Handbook of Cognitive Engineering

ER -

The Closed-Loop Dynamics of Cognitive Work

Abstract

Keywords

Disciplines

Access to Document

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