Inspiration of Bayesian decision theory for action anticipation in complex decision making in sports: Taking tennis and soccer as examples
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- Type
- article
- Published
- 2021-05-24
- Cited by
- 1
- References
- 66
- Access
- Open access
- OpenAlex
- https://openalex.org/W3165844804
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:236669227
Keywords
Anticipation (artificial intelligence), Action (physics), Bayesian probability, Psychology, Computer science
References
- Optimality and heuristics in perceptual neuroscience
- Pattern-induced expectation bias in visual anticipation of action outcomes.
- The effect of manipulating context-specific information on perceptual-cognitive processes during a simulated anticipation task.
- Time to broaden the scope of research on anticipatory behavior: a case for the role of probabilistic information
- The power of simplicity: a fast-and-frugal heuristics approach to performance science
- Behavior of college baseball players in a virtual batting task.
- Bayesian integration in sensorimotor learning
- Learning what to expect (in visual perception)
- What is optimal about motor control?
- Simple heuristics in sports
- Global Information Pickup Underpins Anticipation of Tennis Shot Direction
- Bayesian approaches to sensory integration for motor control.
- The contribution of situational probability information to anticipatory skill.
- Distortion of Probability and Outcome Information in Risky Decisions.
- Sitting on a Fastball
- Development of cue integration in human navigation.
- Advancing theory and application of cognitive research in sport: Using representative tasks to explain and predict skilled anticipation, decision-making, and option-generation behavior☆
- Expertise and the Perception of Kinematic and Situational Probability Information
- Quantifying the nature of anticipation in professional tennis
- Heuristic decision making.
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