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Demos AP, Palmer C. Musical synchrony, dynamical systems and information processing: Merger or redundancy? Trends Cogn Sci 2023; 27:1107-1108. [PMID: 37739922 DOI: 10.1016/j.tics.2023.08.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 08/23/2023] [Indexed: 09/24/2023]
Affiliation(s)
- Alexander P Demos
- Department of Psychology, University of Illinois Chicago, Chicago, IL 60612, USA.
| | - Caroline Palmer
- Department of Psychology, McGill University, Montreal, QC, Canada H3A 1B1.
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Paxton A. The Dynamical Hypothesis in Situ: Challenges and Opportunities for a Dynamical Social Approach to Interpersonal Coordination. Top Cogn Sci 2023. [PMID: 38029348 DOI: 10.1111/tops.12712] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 11/06/2023] [Accepted: 11/08/2023] [Indexed: 12/01/2023]
Abstract
Over the past three decades, Van Gelder's dynamical hypothesis has been instrumental in reconceptualizing the ways in which perception-action-cognition unfolds over time and in context. Here, I examine how the dynamical approach has enriched the theoretical understanding of social dynamics within cognitive science, with a particular focus on interpersonal coordination. I frame this review around seven principles in dynamical systems: three that are well-represented in interpersonal coordination research to date (emergent behavior, context-sensitive behavior, and attractors) and four that could be useful opportunities for future growth (hysteresis, sensitivity to initial conditions, equifinality, and reciprocal compensation). In addition to identifying specific promising lines of theoretical inquiry, I focus on the significant potential afforded by computationally intensive science-especially in naturally occurring data or trace data. Building on the foundation laid over the past three decades, I argue that looking to increasingly situated and naturalistic settings (and data) is not only necessary to realize the full commitment to the dynamical hypothesis but is also critical to building parsimonious and principled theories of social phenomena.
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Affiliation(s)
- Alexandra Paxton
- Department of Psychological Sciences, University of Connecticut
- Center for the Ecological Study of Perception and Action, University of Connecticut
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3
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Nalepka P, Silva PL, Kallen RW, Shockley K, Chemero A, Saltzman E, Richardson MJ. Task dynamics define the contextual emergence of human corralling behaviors. PLoS One 2021; 16:e0260046. [PMID: 34780559 PMCID: PMC8592491 DOI: 10.1371/journal.pone.0260046] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 10/29/2021] [Indexed: 11/24/2022] Open
Abstract
Social animals have the remarkable ability to organize into collectives to achieve goals unobtainable to individual members. Equally striking is the observation that despite differences in perceptual-motor capabilities, different animals often exhibit qualitatively similar collective states of organization and coordination. Such qualitative similarities can be seen in corralling behaviors involving the encirclement of prey that are observed, for example, during collaborative hunting amongst several apex predator species living in disparate environments. Similar encirclement behaviors are also displayed by human participants in a collaborative problem-solving task involving the herding and containment of evasive artificial agents. Inspired by the functional similarities in this behavior across humans and non-human systems, this paper investigated whether the containment strategies displayed by humans emerge as a function of the task's underlying dynamics, which shape patterns of goal-directed corralling more generally. This hypothesis was tested by comparing the strategies naïve human dyads adopt during the containment of a set of evasive artificial agents across two disparate task contexts. Despite the different movement types (manual manipulation or locomotion) required in the different task contexts, the behaviors that humans display can be predicted as emergent properties of the same underlying task-dynamic model.
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Affiliation(s)
- Patrick Nalepka
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
- Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
| | - Paula L. Silva
- Department of Psychology, Center for Cognition, Action & Perception, University of Cincinnati, Cincinnati, OH, United States of America
| | - Rachel W. Kallen
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
- Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
| | - Kevin Shockley
- Department of Psychology, Center for Cognition, Action & Perception, University of Cincinnati, Cincinnati, OH, United States of America
| | - Anthony Chemero
- Department of Psychology, Center for Cognition, Action & Perception, University of Cincinnati, Cincinnati, OH, United States of America
| | - Elliot Saltzman
- Department of Physical Therapy & Athletic Training, College of Health & Rehabilitation Sciences, Sargent College, Boston University, Boston, MA, United States of America
- Haskins Laboratories, New Haven, CT, United States of America
| | - Michael J. Richardson
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
- Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
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4
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Rigoli LM, Patil G, Stening HF, Kallen RW, Richardson MJ. Navigational Behavior of Humans and Deep Reinforcement Learning Agents. Front Psychol 2021; 12:725932. [PMID: 34630238 PMCID: PMC8493935 DOI: 10.3389/fpsyg.2021.725932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Accepted: 08/24/2021] [Indexed: 11/27/2022] Open
Abstract
Rapid advances in the field of Deep Reinforcement Learning (DRL) over the past several years have led to artificial agents (AAs) capable of producing behavior that meets or exceeds human-level performance in a wide variety of tasks. However, research on DRL frequently lacks adequate discussion of the low-level dynamics of the behavior itself and instead focuses on meta-level or global-level performance metrics. In doing so, the current literature lacks perspective on the qualitative nature of AA behavior, leaving questions regarding the spatiotemporal patterning of their behavior largely unanswered. The current study explored the degree to which the navigation and route selection trajectories of DRL agents (i.e., AAs trained using DRL) through simple obstacle ridden virtual environments were equivalent (and/or different) from those produced by human agents. The second and related aim was to determine whether a task-dynamical model of human route navigation could not only be used to capture both human and DRL navigational behavior, but also to help identify whether any observed differences in the navigational trajectories of humans and DRL agents were a function of differences in the dynamical environmental couplings.
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Affiliation(s)
- Lillian M Rigoli
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Gaurav Patil
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia.,Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
| | - Hamish F Stening
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia
| | - Rachel W Kallen
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia.,Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
| | - Michael J Richardson
- School of Psychological Sciences, Macquarie University, Sydney, NSW, Australia.,Centre for Elite Performance, Expertise and Training, Macquarie University, Sydney, NSW, Australia
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5
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Sands T. Countering the Deleterious Effects of Electromagnetic Pulse. FRONTIERS IN ELECTRONICS 2021. [DOI: 10.3389/felec.2021.727994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Robot systems like automated shipping swinging robots, wire transducer sensors and even computer indigenous time sensors (amongst others) often use oscillating circuits such as the famous van der Pol system, while this manuscript investigates protection of such sensor circuitry to spurious voltage spikes accompanying an electromagnetic pulse. These spurious voltages can lead to uncontrolled robot motion and even debilitation. A very brief discussion of electromagnetic pulses yields design parameters to evaluate circuit responses to realistic disturbing pulses. Recent research in nonlinear-adaptive methods to protect circuits are described to highlight the proposed novelty: utilization of feedback rules as adaptive mechanisms to modify the otherwise nonlinear feedforwards systems improving the results in recent literature. Feedback is iterated to select adaption parameters that simultaneously produce favorable circuit performance in addition to effective parameter identification inherent in the adaption (to provide meaningful parameter estimates to unspecified future applications). Spurious voltages were rapidly rejected with a mere 0.3% trajectory deviation, stabilizing quickly with a final (steady state) deviation of 0.01%. The demonstrated abilities to reject the deleterious spurious effects are compared to nominal figures of merit for timing accuracy of various computer systems to conclude the proposed methods are effective for some applications, but insufficient for others.
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Wang Y, Neto OP, Davis MM, Kennedy DM. The effect of inherent and incidental constraints on bimanual and social coordination. Exp Brain Res 2021; 239:2089-2105. [PMID: 33929601 DOI: 10.1007/s00221-021-06114-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 04/13/2021] [Indexed: 10/21/2022]
Abstract
The current investigation was designed to examine the influence of inherent and incidental constraints on the stability characteristics associated with bimanual and social coordination. Individual participants (N = 9) and pairs of participants (N = 18, 9 pairs) were required to rhythmically coordinate patterns of isometric forces in 1:1 in-phase and 1:2 multi-frequency patterns by exerting force with their right and left limbs. Lissajous information was provided to guide performance. Participants performed 13 practice trials and 1 test trial per pattern. On the test trial, muscle activity from the triceps brachii muscles of each arm was recorded. EMG-EMG coherence between the two EMG signals was calculated using wavelet coherence. The behavioral data indicated that individual participants performed the 1:1 in-phase pattern more accurately and with less variability than paired participants. The EMG coherence analysis indicated significantly higher coherence for individual participants than for the paired participants during the 1:1 in-phase pattern, whereas no differences were observed between groups for the 1:2 coordination pattern. The results of the current investigation support the notion that neural crosstalk can stabilize 1:1 in-phase coordination when contralateral and ipsilateral signals are integrated via the neuromuscular linkage between two effectors.
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Affiliation(s)
- Yiyu Wang
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, 77802, USA
| | - Osmar Pinto Neto
- Anhembi Morumbi University São José dos Campos, São Paulo, SP, Brazil.,Arena235 Research Lab, São José dos Campos, São Paulo, SP, Brazil
| | - Madison M Davis
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, 77802, USA
| | - Deanna M Kennedy
- Department of Health and Kinesiology, Texas A&M University, College Station, TX, 77802, USA.
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Crone CL, Rigoli LM, Patil G, Pini S, Sutton J, Kallen RW, Richardson MJ. Synchronous vs. non-synchronous imitation: Using dance to explore interpersonal coordination during observational learning. Hum Mov Sci 2021; 76:102776. [PMID: 33639354 DOI: 10.1016/j.humov.2021.102776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2020] [Revised: 01/31/2021] [Accepted: 02/16/2021] [Indexed: 10/22/2022]
Abstract
Observational learning can enhance the acquisition and performance quality of complex motor skills. While an extensive body of research has focused on the benefits of synchronous (i.e., concurrent physical practice) and non-synchronous (i.e., delayed physical practice) observational learning strategies, the question remains as to whether these approaches differentially influence performance outcomes. Accordingly, we investigate the differential outcomes of synchronous and non-synchronous observational training contexts using a novel dance sequence. Using multidimensional cross-recurrence quantification analysis, movement time-series were recorded for novice dancers who either synchronised with (n = 22) or observed and then imitated (n = 20) an expert dancer. Participants performed a 16-count choreographed dance sequence for 20 trials assisted by the expert, followed by one final, unassisted performance trial. Although end-state performance did not significantly differ between synchronous and non-synchronous learners, a significant decline in performance quality from imitation to independent replication was shown for synchronous learners. A non-significant positive trend in performance accuracy was shown for non-synchronous learners. For all participants, better imitative performance across training trials led to better end-state performance, but only for the accuracy (and not timing) of movement reproduction. Collectively, the results suggest that synchronous learners came to rely on a real-time mapping process between visual input from the expert and their own visual and proprioceptive intrinsic feedback, to the detriment of learning. Thus, the act of synchronising alone does not ensure an appropriate training context for advanced sequence learning.
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Affiliation(s)
- Cassandra L Crone
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia.
| | - Lillian M Rigoli
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Gaurav Patil
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Sarah Pini
- Department of Cognitive Science, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - John Sutton
- Department of Cognitive Science, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - Rachel W Kallen
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia
| | - Michael J Richardson
- Department of Psychology, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia; Centre for Elite Performance, Expertise, and Training, Macquarie University, Sydney, NSW, Australia.
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