Complex systems in nature are those with many interacting parts, all capable of influencing global system outcomes. There is a growing body of research that has modeled sport performance from a complexity sciences perspective, studying the behavior of individual athletes and sports teams as emergent phenomena which self-organise under interacting constraints.
This book is the first to bring together experts studying complex systems in the context of sport from across the world to collate core theoretical ideas, current methodologies and existing data into one comprehensive resource. It offers new methods of analysis for investigating representative complex sport movements and actions at an individual and team level, exploring the application of methodologies from the complexity sciences in the context of sports performance and the organization of sport practice.
Complex Systems in Sport is important reading for any advanced student or researcher working in sport and exercise science, sports coaching, kinesiology or human movement.
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viii | |
| Contributors |
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xv | |
| Acknowledgements |
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xxiii | |
| Preface |
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xxiv | |
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PART 1 Theoretical bases for understanding complex systems in sport |
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1 | (82) |
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1 Basic notions in the science of complex systems and nonlinear dynamics |
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3 | (15) |
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2 Coordination dynamics and cognition |
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18 | (26) |
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3 Why coordination dynamics is relevant for studying sport performance |
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44 | (18) |
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4 Psychobiological integration during exercise |
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62 | (21) |
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PART 2 Methodologies and techniques for data analyses in investigating complex systems in sport |
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83 | (144) |
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5 Nonlinear time series methods for analyzing behavioural sequences |
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85 | (20) |
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6 Interpersonal coordination tendencies induce functional synergies through co-adaptation processes in team sports |
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105 | (20) |
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7 The measurement of space and time in evolving sport phenomena |
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125 | (20) |
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8 Self-organizing maps and cluster analysis in elite and sub-elite athletic performance |
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145 | (15) |
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9 Single camera analyses in studying pattern-forming dynamics of player interactions in team sports |
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160 | (15) |
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10 Using virtual environments to study interactions in sport performance |
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175 | (15) |
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11 Methods of measurement in studying team sports as dynamical systems |
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190 | (18) |
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12 Team sports as dynamical systems |
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208 | (19) |
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PART 3 Complexity sciences and sport performance |
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227 | (48) |
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13 Ecological dynamics as an alternative framework to notational performance analysis |
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229 | (12) |
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14 Talent development and expertise in sport |
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241 | (20) |
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15 Creativity in sport and dance: ecological dynamics on a hierarchically soft-assembled perception-action landscape |
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261 | (14) |
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PART 4 Complexity sciences and training for sport |
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275 | (59) |
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16 Variability in neurobiological systems and training |
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277 | (16) |
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17 Individual pathways of change in motor learning and development |
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293 | (13) |
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18 A constraints-based approach to the acquisition of expertise in outdoor adventure sports |
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306 | (13) |
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19 Skill acquisition and representative task design |
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319 | (15) |
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| Index |
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334 | |
Keith Davids is a Professor of Motor Control at the Centre for Sports Engineering Research at Sheffield Hallam University, UK.
Robert Hristovski is Professor in the Faculty of Physical Education at the University of Ss. Cyril and Methodius, Republic of Macedonia.
Duarte Araújo is Associate Professor in the Faculty of Human Kinetics at Technical University of Lisbon, Portugal.
Natalia Balagué Serre is Professor of Exercise Physiology in the INEFC at the University of Barcelona, Spain.
Chris Button is Associate Professor in the School of Physical Education at the University of Otago, New Zealand.
Pedro Passos is Assistant Professor of Motor Control in the Faculty of Human Kinetics at the Technical University of Lisbon, Portugal.
