T-ECHO: Model of decision making to explain behaviour in experiments and simulations under time pressure

Objectives: To explain the mechanisms of decision making in sports. The ‘Decision Field Theory’ by Townsend and Busemeyer ((1995). Dynamic representation of decision-making. In R. F. Port & T. von Gelder (Eds.), Mind as motion (p. 101). Cambridge: MIT Press) was applied to a ball game situation. Design/Method: A situation in basketball was simulated and used in two experiments. The simulation was realized using a local neural network (Behav. Brain Sci., 12 (1989) 435) and was based on a decision model T-ECHO (Tactical decision — Explanatory Coherence by Harmonic Optimization). Experiment 1 (n=53) tested decisions in a video-based laboratory decision task. Learning took place by watching video clips and was significantly better for implicit and explicit groups than for a control group. Experiment 2 (n=34) replicated the results by using incidental and intentional learning groups. Finally, comparisons between behaviour output of neural networks and participants' decision making were made. Results: A good fit between simulation and participant behaviour was shown. Time pressure explained preference reversals from a dynamic viewpoint. Conclusions: The use of simulations and decision experiments lead to a fruitful way to understand the mechanisms of decision making in ball games.