Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Collecting data to discriminate beten models of risky choice requires careful selection of decision stimuli. Models of decision making aim to predict decisions across a wide range of possible stimuli, but practical limitations force experimenters to select only a handful of them for actual testing. Some stimuli are more diagnostic beten models than others, so the choice of stimuli is critical.  provides the theoretical background and a methodological framework for adaptive selection of optimal stimuli for discriminating among models of risky choice. The approach, called adaptive design optimization, adapts the stimulus in each experimental trial based on the results of the preceding trials.  demonstrate the validity of the approach with simulation studies aiming to discriminate expected utility, ighted expected utility, original prospect theory, and cumulative prospect theory models.  was accepted by Teck Ho, decision analysis.
['Daniel R. Cavagnaro', 'Richard Gonzalez', 'Jay I. Myung', 'Mark A. Pitt']
I am writing a research paper on a idea Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach
[{"from": "human", "value": "I am writing a research paper on a idea Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Collecting data to discriminate beten models of risky choice requires careful selection of decision stimuli. Models of decision making aim to predict decisions across a wide range of possible stimuli, but practical limitations force experimenters to select only a handful of them for actual testing. Some stimuli are more diagnostic beten models than others, so the choice of stimuli is critical.  provides the theoretical background and a methodological framework for adaptive selection of optimal stimuli for discriminating among models of risky choice. The approach, called adaptive design optimization, adapts the stimulus in each experimental trial based on the results of the preceding trials.  demonstrate the validity of the approach with simulation studies aiming to discriminate expected utility, ighted expected utility, original prospect theory, and cumulative prospect theory models.  was accepted by Teck Ho, decision analysis."}]