Chapter Two - Between Persistence and Flexibility: The Yin and Yang of Action Control

https://doi.org/10.1016/bs.adms.2015.04.003Get rights and content

Abstract

Traditional approaches to action control assume the existence of a more or less unitary control system that struggles with, and serves to overcome action tendencies induced by automatic processes. In this article, I point out that and why these approaches fail to capture the complexity and dynamics of cognitive control. I describe an alternative approach that assumes that control emerges from the interaction of at least two counteracting forces: one system promoting persistence and the maintenance of action goals and another promoting mental and behavioral flexibility. I describe how this interaction might be shaped by various factors, including genetic predisposition, learning, personal experience, and the cultural context, and suggest a simple functional model (the Metacontrol State Model, MSM) that explains how this shaping process works. Then I provide an overview of studies from various fields (including perception, attention, performance monitoring, conflict resolution, creativity, meditation, religion, and interpersonal perception and behavior) that successfully tested predictions from the MSM.

Introduction

Human action is often goal-oriented (to a degree that the existence of goals is often considered to be the defining aspect of human action), often initiated in the absence of action-related external stimulation, often spontaneous and nonhabitual, and can commonly be adjusted rapidly if no longer functional or not meeting situational challenges. The human capacity to achieve all of this is commonly ascribed to what we now call cognitive control or executive functions. The general idea is that the processes captured by these labels constitute a kind of second layer of information processing: while the first layer consists of basic processes to translate stimulation or input (the terms preferred by behavioristic and information-processing approaches, respectively)—such as sensory registration, identification, attentional selection, response decision, and motor execution—the second layer operates on the first by rewiring the respective processes in such a way that behavior is optimized and intended goals are reached (e.g., Verbruggen, McLaren, & Chambers, 2014).

Even though the terms cognitive control and executive function are relatively new (with Atkinson & Shiffrin, 1968; as one of the first proponents), the underlying concepts and the investigation of the underlying mechanisms are much older. In the following, I will discuss two predecessors and the related theoretical implications that have survived the terminological transition and that still dominate the discussion of human action control. Concepts that are used for such a long time and that have stimulated so much research are unlikely to be entirely incorrect, but I do think that they have limitations that need to be overcome in future research. I will thus present an alternative view of human action control, at least of some relevant aspects of it, that is also not without predecessors but has the advantage of providing a more dynamic, and thus probably more realistic, view of how humans keep their actions adaptive. I will begin by discussing two more traditional and popular views of action control—one assuming a will that is fighting against habits and another assuming an ego that mediates between societal requirements and personal urges—and point out a number of limitations of these views. Then I will synthesize the positive aspects of these two views and bring them together with more recent ideas from cognitive psychology and the cognitive neurosciences, to construct a more dynamic approach to human action control. Finally, I will sketch major determinants of the operation characteristics of control functions and provide some empirical examples to illustrate and justify my choices. However, I will not start without emphasizing that this chapter is a (empirical and theoretical) work in progress, a developing theoretical approach rather than a complete theory.

Section snippets

The Will

Approaches to human action control are older than the first psychological laboratory, which explains why they were commonly focusing on the conscious experience of control—the major empirical tool of nonexperimental researchers. The dominant view during the years in which the first laboratories were established was ideomotor theory, which has an even longer philosophical tradition (Stock & Stock, 2004). The approach focuses on the process of gaining control over one's body and its movements. It

The Ego

Another approach to human action control is Freudian in nature. According to Freud's (1923) personality model, human action control is haunted by the continuous conflict between societal rules and expectations (the Superego) on the one hand and of personal needs and urges (the Id) on the other. To deal with this conflict, humans develop an ego that mediates between the two conflicting parties and tries to identify suitable compromises and solutions. In many cases, acceptable solutions will

Control as Balance

An obvious commonality of many of the control approaches discussed so far is that they assume one unitary system to take care of control. More recently, a number of authors have argued for a more complex approach that considers multiple components or subsystems of control. One influential example is the just-mentioned approach of Friedman, Miyake, and colleagues. From a more functional point of view, Goschke and colleagues (Goschke, 2003, Dreisbach and Goschke, 2004) have pointed out that

The Metacontrol State Model

In the following, I will provide a brief overview of work led by Lorenza Colzato and myself that was guided by the idea that cognitive control may not be a unitary function but emerges from the interaction of two counteracting forces (or metacontrol states), which renders our approach a part of a broader family of control accounts that also includes the discussed approaches of Goschke and colleagues, Cools and D'Esposito, and Durstewitz and Seamans. Hence, even though most of our studies were

The Plasticity of Control States

Task-switching studies have revealed that establishing a control state to orchestrate a new task takes quite some time, often in the neighborhood of half a second or a second (for a review, see Kiesel et al., 2010). Even though the duration of establishing a new control state has been considered to depend on the number of to-be-changed control parameters (Logan & Gordon, 2001) and the degree to which the new task set had been inhibited in earlier trials (Mayr & Keele, 2000), most approaches

Short-term Biases of Cognitive Control

One set of studies that have tested predictions from MSM with respect to short-term biases toward more maintaining or more flexible control states has used mood induction. The induction of positive mood has often be assumed to promote “loose thinking” and creative thought (Ashby, Isen, & Turken, 1999), and there is considerable evidence that at least brainstorming-like divergent-thinking tasks benefit from positive mood (Baas et al., 2008, Isen, 1999). If so, one would expect that positive mood

The Impact of Learning, Experience, and Culture on Cognitive Control

The evidence I have discussed so far shows that particular metacontrol states have a specific impact on internal representations and information processing. This impact was restricted to a temporal scale of seconds or minutes, and this is indeed a scale that is particularly likely to show such effects. As it is known from task-switching studies (see above), changing control states takes quite a bit of time and just-implemented states tend to be sticky to some degree, so that it makes sense to

Conclusions

The main aim of this article is to point out that action control is unlikely to be a unitary function, but rather emerges from the interaction of two counteracting forces, one propagating a strong top-down control of information processing and the other opening up the system for alternative options and novel information. As I have argued, this more dynamic metacontrol approach has functional and neural plausibility, and is consistent with recent functional and neuroscientific insights. In this

Acknowledgments

This research was supported by a grant of the Netherlands Research Organization (NWO) to the author (433-09-243).

References (124)

  • A. Lutz et al.

    Attention regulation and monitoring in meditation

    Trends in Cognitive Sciences

    (2008)
  • A. Miyake et al.

    The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: a latent variable analysis

    Cognitive Psychology

    (2000)
  • D. Navon

    Forest before trees: the precedence of global features in visual perception

    Cognitive Psychology

    (1977)
  • R.E. Nisbett et al.

    The influence of culture: holistic versus analytic perception

    Trends in Cognitive Sciences

    (2005)
  • N. Ach

    Über den Willensakt und das Temperament [on act of will and temperament]

    (1910)
  • N. Ach

    Analyse des Willens [analysis of the will]

  • S. Akbari Chermahini et al.

    More creative through positive mood? Not everyone!

    Frontiers in Human Neuroscience

    (2012)
  • S. Akbari Chermahini et al.

    Creative mood swings: divergent and convergent thinking affect mood in opposite ways

    Psychological Research

    (2012)
  • D.A. Allport et al.

    Shifting intentional set: exploring the dynamic control of tasks

  • N. Ambady et al.

    Accuracy of judgments of sexual orientation from thin slices of behavior

    Journal of Personality and Social Psychology

    (1999)
  • F.G. Ashby et al.

    A neuro-psychological theory of positive affect and its influence on cognition

    Psychological Review

    (1999)
  • M. Baas et al.

    A meta-analysis of 25 years of research on mood and creativity: hedonic tone, activation, or regulatory focus?

    Psychological Bulletin

    (2008)
  • J.A. Bargh

    Conditional automaticity: varieties of automatic influence in social perception and cognition

  • J.A. Bargh

    The four horsemen of automaticity: awareness, efficiency, intention, and control in social cognition

  • R.F. Baumeister et al.

    Ego depletion: is the active self a limited resource?

    Journal of Personality and Social Psychology

    (1998)
  • J.-M. Beaulieu et al.

    The physiology, signaling, and pharmacology of dopamine receptors

    Pharmacological Reviews

    (2011)
  • E. Bialystok et al.

    Cognitive and linguistic processing in the bilingual mind

    Current Directions in Psychological Sciences

    (2010)
  • E. Bialystok et al.

    Bilingualism, aging, and cognitive control: evidence from the Simon task

    Psychology and Aging

    (2004)
  • A. Boesak

    Apartheid, liberation and the Calvinist tradition

    (1984)
  • M.M. Botvinick et al.

    Conflict monitoring and cognitive control

    Psychological Review

    (2001)
  • J.W. Brehm et al.

    The intensity of motivation

    Annual Review of Psychology

    (1989)
  • N. Chmiel

    Phonological encoding for reading: the effect of concurrent articulation in a Stroop task

    British Journal of Psychology

    (1984)
  • L.S. Colzato et al.

    How does bilingualism improve executive control? A comparison of active and reactive inhibition mechanisms

    Journal of Experimental Psychology: Learning, Memory, and Cognition

    (2008)
  • L.S. Colzato et al.

    Up to “me” or up to “us”? The impact of self-construal priming on cognitive self-other integration

    Frontiers in Psychology

    (2012)
  • L.S. Colzato et al.

    Religion and the attentional blink: depth of faith predicts depth of the blink

    Frontiers in Psychology

    (2010)
  • L.S. Colzato et al.

    Buddha as an eye opener: a link between prosocial attitude and attentional control

    Frontiers in Psychology

    (2010)
  • L.S. Colzato et al.

    Sexual orientation biases attentional control: a possible gaydar mechanism

    Frontiers in Psychology

    (2010)
  • L.S. Colzato et al.

    DOOM'd to switch: superior cognitive flexibility in players of first person shooter games

    Frontiers in Psychology

    (2010)
  • L.S. Colzato et al.

    Meditate to create: the impact of focused-attention and open-monitoring training on convergent and divergent thinking

    Frontiers in Psychology

    (2012)
  • L.S. Colzato et al.

    Dopaminergic control of attentional flexibility: inhibition of return is associated with the dopamine transporter gene (DAT1)

    Frontiers in Neuroscience

    (2010)
  • L.S. Colzato et al.

    Dopamine and the management of attentional resources: genetic markers of striatal D2 dopamine predict individual differences in the attentional blink

    Journal of Cognitive Neuroscience

    (2011)
  • Colzato, L. S., Szapora, A., Lippelt, D., & Hommel, B. Prior meditation practice modulates performance and strategy use...
  • L.S. Colzato et al.

    Losing the big picture: how religion may control visual attention

    PLoS One

    (2008)
  • L.S. Colzato et al.

    Increasing self-other integration through divergent thinking

    Psychonomic Bulletin & Review

    (2013)
  • L.S. Colzato et al.

    Cognitive control and the COMT Val158Met polymorphism: genetic modulation of videogame training and transfer to task-switching efficiency

    Psychological Research

    (2014)
  • L.S. Colzato et al.

    Loving-kindness brings loving-kindness: the impact of Buddhism on cognitive self-other integration

    Psychonomic Bulletin & Review

    (2012)
  • L.S. Colzato et al.

    Dopamine, norepinephrine, and the management of sensorimotor bindings: individual differences in updating of stimulus-response episodes are predicted by DAT1, but not DBH5′-ins/del

    Experimental Brain Research

    (2013)
  • R. Cools

    Role of dopamine in the motivational and cognitive control of behaviour

    Neuroscientist

    (2008)
  • R. Cools

    Chemical neuromodulation of goal-directed behavior

  • R. Cools et al.

    Dopaminergic modulation of flexible cognitive control in humans

  • Cited by (156)

    View all citing articles on Scopus
    View full text