Free Access
Mov Sport Sci/Sci Mot
Number 108, 2020
Page(s) 1 - 11
Published online 12 September 2019
  • Araújo, D., & Davids, K. (2009). Ecological approaches to cognition and action in sport and exercise: Ask not only what you do, but where you do it. International Journal of Sport Psychology , 40(1), 5. [Google Scholar]
  • Araújo, D., Davids, K., & Hristovski, R. (2006). The ecological dynamics of decision making in sport. Psychology of Sport and Exercise , 7(6), 653–676. [Google Scholar]
  • Araújo, D., Davids, K., Diniz, A., Rocha, L., Santos, J.C., Dias, G., & Fernandes, O. (2015). Ecological dynamics of continuous and categorical decision-making: The regatta start in sailing. European Journal of Sport Science , 15(3), 195–202. [CrossRef] [PubMed] [Google Scholar]
  • Bartumeus, F., Campos, D., Ryu, W.S., Lloret-Cabot, R., Méndez, V., & Catalan, J. (2016). Foraging success under uncertainty: Search tradeoffs and optimal space use. Ecology Letters , 19(11), 1299–1313. [CrossRef] [PubMed] [Google Scholar]
  • Bell, H.C., Johnson, E., Judge, K.A., Cade, W.H., & Pellis, S.M. (2012). How is a cricket like a rat? Insights from the application of cybernetics to evasive food protective behaviour. Animal Behaviour , 84, 843–851. [Google Scholar]
  • Bell, H.C., Bell, G.D., Schank, J.E., & Pellis, S.M. (2015). Evolving the tactics of play fighting: Insights from simulating the “keep away game” in rats. Adaptive Behavior , 23, 371–380. [Google Scholar]
  • Bernstein, N. (1967). The co-ordination and regulation of movements. Oxford: Pergamon. [Google Scholar]
  • Bourbousson, J., Sève, C., & McGarry, T. (2010a). Space-time coordination dynamics in basketball: Part 1. Intra- and inter-couplings among player dyads. Journal of Sports Sciences , 28(3), 339–347. [CrossRef] [PubMed] [Google Scholar]
  • Bourbousson, J., Sève, C., & McGarry, T. (2010b). Space-time coordination dynamics in basketball: Part 2. The interaction between the two teams. Journal of Sports Sciences , 28(3), 349–358. [CrossRef] [PubMed] [Google Scholar]
  • Boyce, B.A., Coker, C.A., & Bunker, L.K. (2006). Implications for variability of practice from pedagogy and motor learning perspectives: Finding a common ground. Quest , 58(3), 330–343. [Google Scholar]
  • Buekers, M.J., Montagne, G., & Laurent, M. (1999). Is the player in control, or is the control somewhere out of the player? International Journal of Sport Psychology , 30(4), 490–506. [Google Scholar]
  • Buekers, M., Ibáñez-Gijón, J., Morice, A.H., Rao, G., Mascret, N., Laurin, J., & Montagne, G. (2017). Interdisciplinary research: A promising approach to investigate elite performance in sports. Quest , 69(1), 65–79. [Google Scholar]
  • Bunker, D., & Thorpe, R. (1982). A model for the teaching of games in secondary schools. Bulletin of Physical Education , 18(1), 5–8. [Google Scholar]
  • Creel, S., & Winnie, J.A. (2005). Responses of elk herd size to fine-scale spatial and temporal variation in the risk of predation by wolves. Animal Behaviour , 69(5), 1181–1189. [Google Scholar]
  • Cresswell, W., & Quinn, J.L. (2004). Faced with a choice, sparrowhawks more often attack the more vulnerable prey group. Oikos , 104(1), 71–76. [Google Scholar]
  • Davids, K., Handford, C., & Williams, M. (1994). The natural physical alternative to cognitive theories of motor behaviour: An invitation for interdisciplinary research in sports science? Journal of sports Sciences , 12(6), 495–528. [CrossRef] [PubMed] [Google Scholar]
  • Duarte, R., Araújo, D., Gazimba, V., Fernandes, O., Folgado, H., Marmeleira, J., & Davids, K. (2010). The ecological dynamics of 1v1 sub-phases in association football. The Open Sport Sciences Journal , 3, 16–18. [CrossRef] [Google Scholar]
  • Duarte, R., Araújo, D., Davids, K., Travassos, B., Gazimba, V., & Sampaio, J. (2012). Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. Journal of Sports Sciences , 30(9), 871–877. [CrossRef] [PubMed] [Google Scholar]
  • Duchon, A.P., Kaelbling, L.P., & Warren, W.H. (1998). Ecological robotics. Adaptive Behavior , 6(3–4), 473–507. [Google Scholar]
  • Farrow, D., Pyne, D., & Gabbett, T. (2008). Skill and physiological demands of open and closed training drills in Australian football. International Journal of Sports Science & Coaching , 3(4), 489–499. [Google Scholar]
  • Ford, J.K.B., Ellis, G.M., Matkin, D.R., Balcomb, K.C., Briggs, D., & Morton A.B. (2005). Killer whale attacks on minke whales: Prey capture and antipredator tactics, Marine Mammal Science , 21, 603–618. [CrossRef] [Google Scholar]
  • Gibson, J.J. (1977). The theory of affordances. In R.E., Shaw & J., Bransford (Eds.), Perceiving, acting, and knowing: Toward an ecological psychology (pp. 67–82). Hillsdale (MI): Lawrence Erlbaum. [Google Scholar]
  • Gibson, J.J. (1986). The ecological approach to visual perception. Boston (MA): Houghton Mifflin. Originally published in 1979. [Google Scholar]
  • Greenwood, D., Davids, K., & Renshaw, I. (2014). Experiential knowledge of expert coaches can help identify informational constraints on performance of dynamic interceptive actions. Journal of Sports Sciences , 32(4), 328–335. [CrossRef] [PubMed] [Google Scholar]
  • Gréhaigne, J.F., Godbout, P., & Bouthier, D. (1999). The foundations of tactics and strategy, in team sports. Journal of Teaching in Physical Education , 18, 159–174. [CrossRef] [Google Scholar]
  • Harland, D.P., & Jackson, R.R. (2006). A knife in the back: Use of prey-specific attack tactics by araneophagic jumping spiders (Araneae: Salticidae). Journal of Zoology , 269(3), 285–290. [Google Scholar]
  • Hettinga, F.J., Konings, M.J., & Pepping, G.J. (2017). The science of racing against opponents: Affordance competition and the regulation of exercise intensity in head-to-head competition. Frontiers in Physiology , 8(118), 1–7. [CrossRef] [PubMed] [Google Scholar]
  • Ibáñez-Gijón, J., Travieso, D., & Jacobs, D.M. (2011). Neogibsonian approach as conceptual and methodological framework for the design of training programs in sports. Revista de Psicología del Deporte , 20(2), 667–688. [Google Scholar]
  • Ibáñez-Gijón, J., Díaz, A., Lobo, L., & Jacobs, D.M. (2013). On the ecological approach to information and control for roboticists. International Journal of Advanced Robotic Systems , 10(6), 265. [CrossRef] [Google Scholar]
  • Ibáñez-Gijón, J., Buekers, M., Morice, A., Rao, G., Mascret, N., Laurin, J., & Montagne, G. (2017). A scale-based approach to interdisciplinary research and expertise in sports. Journal of Sports Sciences , 35(3), 290–301. [CrossRef] [PubMed] [Google Scholar]
  • Jackson, R., & Wilcox, R. (1998). Spider-Eating Spiders: Despite the small size of their brain, jumping spiders in the genus Portia outwit other spiders with hunting techniques that include trial and error. American Scientist , 86, 350–357. [Google Scholar]
  • Jacobs, D.M., & Michaels, C.F. (2007). Direct learning. Ecological Psychology , 19(4), 321–349. [CrossRef] [Google Scholar]
  • Kugler, P.N., & Turvey, M.T. (1988). Self-organization, flow fields, and information. Human Movement Science , 7(2–4), 97–129. [Google Scholar]
  • Lopes, L.L., & Casey, J.T. (1994). Tactical and strategic responsiveness in a competitive risk-taking game. Acta Psychologica , 85, 39–60. [Google Scholar]
  • Luijkx, T., Cramer, M.J., Prakken, N.H., Buckens, C.F., Mosterd, A., Rienks, R., Backx, F.J., Mali, W.P., & Velthuis, B.K. (2012). Sport category is an important determinant of cardiac adaptation: An MRI study. British Journal of Sports Medicine , 46(16), 1119–1124. [CrossRef] [PubMed] [Google Scholar]
  • Hall, K.G., & Magill, R.A. (1995). Variability of practice and contextual interference in motor skill learning. Journal of Motor Behavior , 27(4), 299–309. [CrossRef] [PubMed] [Google Scholar]
  • McBeath, M.K., Shaffer, D.M., & Kaiser, M.K. (1995). How baseball outfielders determine where to run to catch fly balls. Science , 268(5210), 569. [Google Scholar]
  • McLeod, P., Reed, N., & Dienes, Z. (2006). The generalized optic acceleration cancellation theory of catching. Journal of Experimental Psychology: Human Perception and Performance , 32(1), 139. [CrossRef] [Google Scholar]
  • McPherson, S.L. (1994). The development of sport expertise: Mapping the tactical domain. Quest , 46(2), 223–240. [Google Scholar]
  • Memmert, D. (2010). Testing of tactical performance in youth elite soccer. Journal of Sports Science and Medicine , 9(2), 199–205. [Google Scholar]
  • Mitchell, J.H., Haskell, W.L., & Raven, P.B. (1994). Classification of sports. Journal of the American College of Cardiology , 24(4), 864–866. [CrossRef] [PubMed] [Google Scholar]
  • Mitchell, J.H., Haskell, W., Snell, P., & Van Camp, S.P. (2005). Task Force 8: Classification of sports. Journal of the American College of Cardiology , 45(8), 1364–1367. [CrossRef] [PubMed] [Google Scholar]
  • Montagne, G., Laurent, M., Durey, A., & Bootsma, R. (1999). Movement reversals in ball catching. Experimental Brain Research , 129(1), 87–92. [CrossRef] [PubMed] [Google Scholar]
  • Morgan, S., Williams, M.D., & Barnes, C. (2013). Applying decision tree induction for identification of important attributes in one-versus-one player interactions: A hockey exemplar. Journal of Sports Sciences , 31(10), 1031–1037. [CrossRef] [PubMed] [Google Scholar]
  • Nøttestad, L., Ferno, A., & Axelsen, B.E. (2002). Digging in the deep: Killer whales’ advanced hunting tactic. Polar Biology , 25, 939–941. [Google Scholar]
  • Passos, P., Araújo, D., Davids, K., Gouveia, L., Milho, J., & Serpa, S. (2008). Information-governing dynamics of attacker-defender interactions in youth rugby union. Journal of Sports Sciences , 26(13), 1421–1429. [CrossRef] [PubMed] [Google Scholar]
  • Penteriani, V., Kuparinen, A., del Mar Delgado, M., Palomares, F., Lopez-Bao, J.V., Fedriani, J.M., Calzada, J., Moreno, S., Villafuerte, R., Campioni, L., & Lourenço, R. (2013). Responses of a top and a meso predator and their prey to moon phases. Oecologica , 173, 753–766. [CrossRef] [Google Scholar]
  • Poulton, E.C. (1957). On prediction in skilled movements. Psychological Bulletin , 54(6), 467–478. [CrossRef] [PubMed] [Google Scholar]
  • Raab, M., Gula, B., & Gigerenzer, G. (2012). The hot hand exists in volleyball and is used for allocation decisions. Journal of Experimental Psychology: Applied , 18(1), 81. [CrossRef] [Google Scholar]
  • Shea, C.H., & Kohl, R.M. (1990). Specificity and variability of practice. Research Quarterly for Exercise and Sport , 61(2), 169–177. [CrossRef] [PubMed] [Google Scholar]
  • Smith, J.M., & Price, G.R. (1973). The logic of animal conflict. Nature , 246(5427), 15–18. [Google Scholar]
  • Temprado, J., Della-Grasta, M., Farrell, M., & Laurent, M. (1997). A novice-expert comparison of intra-limb coordination subserving the volleyball serve. Human Movement Science , 5, 653–676. [Google Scholar]
  • Thomas, J.R., French, K.E., & Humphries, C.A. (1986). Knowledge development and sport skill performance: Directions for motor behavior research. Journal of Sport Psychology , 8(4), 259–272. [CrossRef] [Google Scholar]
  • van der Kamp, J., Savelsbergh, G., & Smeets, J. (1997). Multiple information sources in interceptive timing. Human Movement Science , 16(6), 787–821. [Google Scholar]
  • Van Gelder, T., & Port, R.F. (1995). It’s about time: An overview of the dynamical approach to cognition. Mind as motion: Explorations in the Dynamics of Cognition , 1, 43. [Google Scholar]
  • Wang, C.H., Chang, C.C., Liang, Y.M., Shih, C.M., Chiu, W.S., Tseng, P., Hung, D.L., Tzeng, O.J., Muggleton, N.G., & Juan, C.H. (2013). Open vs. closed skill sports and the modulation of inhibitory control. PloS one , 8(2), e55773. [CrossRef] [PubMed] [Google Scholar]
  • Williams, A.M., Ford, P.R., Eccles, D.W., & Ward, P. (2011). Perceptual-cognitive expertise in sport and its acquisition: Implications for applied cognitive psychology. Applied Cognitive Psychology , 25(3), 432–442. [Google Scholar]

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