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Professor Daniels' research interests include: Time series prediction using neural networks optimized by evolutionary algorithms. Minimal logic circuit realization of large truth tables using evolutionary algorithms. Baseball batting order optimization. Testing Yerkes-Dodson Law of arousal vs performance with heart rate and pupil diameter measurements during video game playing. Autonomous rovers (robot vehicles) which embody fear and anger. Overview | Research | Grants/Awards | Teaching | Publications
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