Development of Infant Action Systems and Exploratory Activity: A Tribute to Edward S. Reed

I use Edward S. Reed's work on action systems as a framework to discuss an ecological approach to the development of infant action. I use illustrations from infant action to argue that during development, infants make use of the intrinsic dynamics of their spontaneous motor activity, under a variety of task constraints, to create a small set of action systems. The paper focuses on dynamical systems that generate oscillations as the basis for observable rhythmic behaviors during infancy, such as rocking, shaking the arms, and babbling. Data are presented to illustrate the development of action systems for crawling, object manipulation, and speech. Particular underlying dynamical systems, under different task constraints, may transform body effectors into task-specific action systems: The leg becomes a "kicker," the arm holding a rattle becomes a "shaker," and the vocal tract a "talker."     

Origins of Order in Joint Activity and Social Behavior

How should we understand the origins of order and control that entail the systematic regularity of human behavior? Here, we address this question with respect to joint activity and social behavior via an explication of Guy Van Orden's formulation of interaction-dominant dynamics and his provocative discussion of the “blue collar brain.” Using these 2 concepts we argue that human social behavior and performance is not controlled by a cascade of fast timescale activity (i.e., neural processes or individual action) but rather emerges from the modulated enslavement of faster timescale processes by much slower dynamical processes, such as shared task outcomes and socially defined historical context. We detail this argument by reviewing 2 recent behavioral findings that we believe provide evidence that the dynamics of human performance during a socially situated activity is interaction dominant. The first concerns the behavioral coordination that emerges during a novel joint-action collision-avoidance task. The second concerns the effects of stereotype threat on an individual's cognitive performance. Finally, we discuss how identifying the role that the slower timescale dynamics of social events and structures plays in shaping complex behavioral dynamics can guide future research on joint-action and human performance.     

Modeling the Dynamics of Risky Choice

Individuals make decisions under uncertainty every day. Decisions are based on incomplete information concerning the potential outcome or the predicted likelihood with which events occur. In addition, individuals' choices often deviate from the rational or mathematically objective solution. Accordingly, the dynamics of human decision making are difficult to capture using conventional, linear mathematical models. Here, we present data from a 2-choice task with variable risk between sure loss and risky loss to illustrate how a simple nonlinear dynamical system can be employed to capture the dynamics of human decision making under uncertainty (i.e., multistability, bifurcations). We test the feasibility of this model quantitatively and demonstrate how the model can account for up to 86% of the observed choice behavior. The implications of using dynamical models for explaining the nonlinear complexities of human decision making are discussed as well as the degree to which the theory of nonlinear dynamical systems might offer an alternative framework for understanding human decision making processes.     

A hierarchical state space approach to affective dynamics

Linear dynamical system theory is a broad theoretical framework that has been applied in various research areas such as engineering, econometrics and recently in psychology. It quantifies the relations between observed inputs and outputs that are connected through a set of latent state variables. State space models are used to investigate the dynamical properties of these latent quantities. These models are especially of interest in the study of emotion dynamics, with the system representing the evolving emotion components of an individual. However, for simultaneous modeling of individual and population differences, a hierarchical extension of the basic state space model is necessary. Therefore, we introduce a Bayesian hierarchical model with random effects for the system parameters. Further, we apply our model to data that were collected using the Oregon adolescent interaction task: 66 normal and 67 depressed adolescents engaged in a conflict-oriented interaction with their parents and second-to-second physiological and behavioral measures were obtained. System parameters in normal and depressed adolescents were compared, which led to interesting discussions in the light of findings in recent literature on the links between cardiovascular processes, emotion dynamics and depression. We illustrate that our approach is flexible and general: The model can be applied to any time series for multiple systems (where a system can represent any entity) and moreover, one is free to focus on various components of this versatile model.     

Pragmatism,enactivism, and ecological psychology: towards a unified approach to post-cognitivism

This paper argues that it is possible to combine enactivism and ecological psychology in a single post-cognitivist research framework if we highlight the common pragmatist assumptions of both approaches. These pragmatist assumptions or starting points are shared by ecological psychology and the enactive approach independently of being historically related to pragmatism, and they are based on the idea of organic coordination, which states that the evolution and development of the cognitive abilities of an organism are explained by appealing to the history of interactions of that organism with its environment. It is argued that the idea of behavioral or organic coordination within the enactive approach gives rise to the sensorimotor abilities of the organism, while the ecological approach emphasizes the coordination at a higher-level between organism and environment through the agent’s exploratory behavior for perceiving affordances. As such, these two different processes of organic coordination can be integrated in a post-cognitivist research framework, which will be based on two levels of analysis: the subpersonal one (the neural dynamics of the sensorimotor contingencies and the emergence of enactive agency) and the personal one (the dynamics that emerges from the organism-environment interaction in ecological terms). If this proposal is on the right track, this may be a promising first step for offering a systematized and consistent post-cognitivist approach to cognition that retain the full potential of both enactivism and ecological psychology.

     

Inviting affordances and agency

Recently several authors have suggested that affordances are not mere possibilities for action but can also invite behavior. This reconceptualization of affordances asks for a reconsideration of the ecological approach to agency. After a portrayal of the role of agency in ecological psychology, we draw upon phenomenology to reveal what it means for an agent to be invited by affordances. We sketch a dynamical model of the animal-environment relationship that aims to do justice to this analysis. In the model, agency is conceptualized as the capacity to modulate the coupling strength with the environment—the agent can influence to what extent he or she is influenced by the different invitations. This account of agency keeps us far from the Cartesian idea that the agent imposes behavior. Indeed, by modulating the coupling strength, the agent simply alters the dynamics of the animal-environment interactions and thus the behavior that emerges.     

Experimental design: Problems in understanding the dynamical behavior-environment system

In this paper, I attempt to describe the implications of dynamical approaches to science for research in the experimental study of behavior. I discuss the differences between classical and dynamical science, and focus on how dynamical science might see replication differently from classical science. Focusing on replication specifically, I present some problems that the classical approach has in dealing with dynamics and multiple causation. I ask about the status and meaning of "error" variance, and whether it may be a potent source of information. I show how a dynamical approach can handle the sort of control by past events that is hard for classical science to understand. These concerns require, I believe, an approach to variability that is quite different from the one most researchers currently employ. I suggest that some of these problems can be overcome by a notion of "behavioral state," which is a distillation of an organism's history.     

The interplay of attention and bimanual coordination dynamics

Despite their common origin, studies on motor coordination and on attentional load have developed into separate fields of investigation, bringing out findings, methods, and theories which are diverse if not mutually exclusive. Sitting at the intersection of these two fields, this article addresses the issue of behavioral flexibility by investigating how intention modifies the stability of existing patterns of coordination between moving limbs. It addresses the issue, largely ignored until now, of the attentional cost incurred by the central nervous system (CNS) in maintaining a coordination pattern at a given level of stability, in particular under different attentional priority requirements. The experimental paradigm adopted in these studies provides an original mix of a classical measure of attentional load, namely, reaction time, and of a dynamic approach to coordination, most suitable for characterizing the dynamic properties of coordinated behavior and behavioral change. Findings showed that central cost and pattern stability covary, suggesting that bimanual coordination and the attentional activity of the CNS involved in maintaining such a coordination bear on the same underlying dynamics. Such a conclusion provides a strong support to a unified approach to coordination encompassing a conceptualization in terms of information processing and another, more recent framework rooted in self-organization theories and dynamical systems models     

Harmonic analysis of a complex motor behavior

This study deals with the learning of a complex motor task. The example used is rock climbing, where the subject's motricity is highly constrained by the natural environment. The working hypothesis is that the sensorimotor system searches for behavioral solutions characterized by minimal energy expenditure in the dissipation of forces. Harmonic systems — which satisfy this requirement — are used as models for testing the source signal defined by the acceleration curve at the learner's center of gravity. It is shown that only the dynamics of an expert's motor behavior are harmonic, while those of a beginner are stochastic (or chaotic). It is also shown that for experts, the process of adaptation to environmental constraints involves the relaxation of the dynamics and the ensuing emergence of a stable state which corresponds to a quasi-periodic attractor. A harmonic analysis is used to distinguish the environmental and intrinsic components of the behavioral dynamics, shown to result from the coupling of these two components via resonance.     

Grand Unified Theories of the Brain Need Better Understanding of Behavior: The Two-Tiered Emergence of Function

Abstract

Over the last few decades, neuroscience and various associated disciples have expanded enormously in terms of output, tools, methods, concepts, and large-scale projects. In spite of these developments, the principles underlying brain function and behavior are yet only partially understood. We claim that brain functioning requires the elucidation of the rules associated with all possible task realizations, rather than targeting the activity underlying a specific realization. A first step in that direction was taken by approaches focusing on dynamical structures underlying task performances, as exemplified by coordination dynamics. Its theoretical foundation owes much to Haken’s synergetics, which provides a formalism through which the degrees of freedom associated with high-dimensional systems may be effectively reduced to one or a few functional variables in the vicinity of phase transitions. The recent theoretical development of structured flows on manifolds (SFM) allows the employment to a potentially broader range of applications. Here we expand the SFM framework and propose that the emergent two-tiered fast–slow dynamics may be a basic mathematical organization underlying the architecture of brain and behavior dynamics. Finally, along a few examples, we illustrate how this framework allows for the incorporation of notions cardinal to ecological psychology.     

运动视觉中行为控制策略研究

当人穿越杂乱的环境到达一个目标时,可以利用多种信息源进行行为控制,这些信息既包括物理信息又包括视觉信息,人们有选择地利用各种信息或信息的整合控制计时行为。本文阐述了不同运动条件下如步行运动、拦截行为、飞行运动和驾驶运动观察者所使用的行为控制策略,这些控制策略与各种信息源密切相关并依赖于特定的任务。     

A decision theoretic and prototype conceptualization of possible selves: implications for the prediction of risk behavior

The present study explores a new framework for conceptualizing possible selves for the prediction of behavior. The framework uses decision theory, attitude theory, and classic expectancy-value models. The focus is on using possible-self constructs that (a) correspond to behavioral alternatives, (b) focus on self dimensions directly tied to the behavioral criterion, and (c) use expectancy-value constructs to assess the core features of a given possible self-dimension. A study of 305 college students was undertaken to predict alcohol use from possible self constructs using the framework. Results affirmed the utility of the approach, showing that possible-self constructs predicted behavior over and above current self-image and constructs in the Theory of Planned Behavior. Possible-self constructs associated with negative attributes of both binge drinkers and nonbinge drinkers were predictive of behavior.     

On discontinuities in motor learning: a longitudinal study of complex skill acquisition on a ski-simulator

The qualitative behavioral reorganizations that occurred during the acquisition of a complex motor skill were examined. Five novice participants practiced for 39 sessions of ten 1-min trials on a modified version of the ski-simulator. Analyses focused on the motion of the apparatus platform, modeled as a self-sustained oscillator. At the beginning of the experiment, all participants adopted a behavior that could be modeled with a highly nonlinear stiffness function and a Rayleigh damping function. The behavior in the final part of the experiment was captured by a qualitatively different model, with a linear stiffness function and a van der Pol damping behavior. The transition from the initial to the final model was gradual and was marked in most cases by an abrupt increase of oscillation frequency. During the transition stage, the 2 damping behaviors seemed alternately exploited within each trial. The results are discussed in the framework of the dynamical systems approach to motor coordination and learning, considering motor skill acquisition as a phase transition.     

The triadic model perspective for the study of adolescent motivated behavior

The triadic neural systems model is a heuristic tool, which was developed with the goal of providing a framework for neuroscience research into motivated behaviors. Unlike dual models that highlight dynamics between approach systems centered on striatal function and control systems centered on prefrontal cortex, the triadic model also includes an avoidance system, centered on amygdala-related circuits. A first application of this model has been to account for adolescent behavior.     

Negative hysteresis in the behavioral dynamics of the affordance “graspable”

One commonly perceives whether a visible object will afford grasping with one hand or with both hands. In experiments in which differently sized objects of a fixed type are presented, the transition from using one of these manual modes to the other depends on the ratio of object size to hand span and on the presentation sequence, with size increasing versus decreasing. Conventional positive hysteresis (i.e., a larger transition ratio for the increasing sequence) can be accommodated by the order parameter dynamics that typify self-organizing systems (Lopresti-Goodman, Turvey, and Frank, Attention, Perception, & Psychophysics 73:1948–1965, 2011). Here we identified and addressed conditions of unconventional negative hysteresis (i.e., a larger transition ratio for the decreasing sequence). They suggest a second control parameter in the self-organization of affordance perception, one that is seemingly regulated by inhibitory dynamics occurring in the agent–task–environment system. Our experimental results and modeling extend the investigation of affordance perception within dynamical systems theory.     

Studying the neural bases of prism adaptation using fMRI: A technical and design challenge

Prism adaptation induces rapid recalibration of visuomotor coordination. The neural mechanisms of prism adaptation have come under scrutiny since the observations that the technique can alleviate hemispatial neglect following stroke, and can alter spatial cognition in healthy controls. Relative to non-imaging behavioral studies, fMRI investigations of prism adaptation face several challenges arising from the confined physical environment of the scanner and the supine position of the participants. Any researcher who wishes to administer prism adaptation in an fMRI environment must adjust their procedures enough to enable the experiment to be performed, but not so much that the behavioral task departs too much from true prism adaptation. Furthermore, the specific temporal dynamics of behavioral components of prism adaptation present additional challenges for measuring their neural correlates. We developed a system for measuring the key features of prism adaptation behavior within an fMRI environment. To validate our configuration, we present behavioral (pointing) and head movement data from 11 right-hemisphere lesioned patients and 17 older controls who underwent sham and real prism adaptation in an MRI scanner. Most participants could adapt to prismatic displacement with minimal head movements, and the procedure was well tolerated. We propose recommendations for fMRI studies of prism adaptation based on the design-specific constraints and our results.     

A Graph-Dynamic Perspective on Coordinative Structures,the Role of Affordance-Effectivity Relations in Action Selection,and the Self-Organization of Complex Activities

Meaningful parallels exist between the coordinative structures (CSs) involved in planning and controlling complex actions of the body (limbs, torso, head, face, eyes) in service of both mechanical (e.g., manipulation and/or transport of environmental objects) and social (e.g., inter-agent coordination) functions. While early treatments focused on CS state-dynamics and parameter-dynamics, attention has focused more recently on CS graph-dynamics. We describe a coordinative structure graph (CSG) perspective that brings affordances and effectivities into a dynamical systems framework in which a) task-specific perceptual and physical links are created between an agent's end-effectors and environmental objects/surfaces during the graph-dynamics of CSG assembly; and b) these dynamics embed the agent in his/her environmental context such that the agent+environment system functions as a higher-order task-specific unit. Additionally, we describe a 3-tuple formalism for CSs that govern simple, single actions; such 3-tuples are viewed as modular planning graphs that can self-assemble under a compositional graph-dynamics into multi-action chains or hierarchical structures, and that may inform future developments of CS-based action grammars.     

The situation

A formulation for the explanation of behavior is needed to guide the work of the applied psychologist whose first task is to explain behavior. It can also serve as a coordinating framework for the basic research that centers around each of psychology's many constructs. This paper puts forward the notion that the appropriate framework reflects the intersection of numerous person and environment systems; in other words, that it is found in the structure of a situation. Continuity within the science of psychology is promoted if an appropriate structure is found in the classic situations of the experimental laboratory. A prototypical situation that is based on the major paradigms of instrumental learning is described. It has already shown considerable utility in organizing the investigation of behavioral determinants in a real-world setting, and its ability to clarify interrelationships among psychology's constructs also looks promising.Thanks are due to C. Cofer, J. Keenan, E. Mannucci, and M. Nadien for their helpful comments on a draft of this paper.