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Takao Noguchi

Researcher at University College London

Publications -  22
Citations -  485

Takao Noguchi is an academic researcher from University College London. The author has contributed to research in topics: Bayesian network & Choice set. The author has an hindex of 10, co-authored 22 publications receiving 388 citations. Previous affiliations of Takao Noguchi include Queen Mary University of London & University of Warwick.

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In the attraction, compromise, and similarity effects, alternatives are repeatedly compared in pairs on single dimensions.

TL;DR: It is concluded that psychological models of choice should be based on single-attribute pairwise comparisons made in each choice, with a pair of alternatives compared on a single attribute dimension in each comparison.
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Crossmodal Adaptation in Right Posterior Superior Temporal Sulcus during Face–Voice Emotional Integration

TL;DR: The results suggest that the integration of emotional information from face and voice in the pSTS involves a detectable proportion of bimodal neurons that combine inputs from visual and auditory cortices.
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Multialternative decision by sampling: A model of decision making constrained by process data.

TL;DR: Findings from process-tracing studies are used to constrain the evidence accumulation process and this article proposes the multialternative decision by sampling (MDbS) model, which provides a quantitative account of the attraction, compromise, and similarity effects equal to that of other models, and captures a wider range of empirical phenomena than other models.
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Eye Movements in Strategic Choice.

TL;DR: Eye movements in symmetric games including dominance‐solvable games like prisoner's dilemma and asymmetric coordination games like stag hunt and hawk–dove found longer duration choices with more fixations when payoffs differences were more finely balanced, an emerging bias to gaze more at the payoffs for the action ultimately chosen, and that a simple count of transitions between payoffs was strongly associated with the final choice.
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Information overload or search-amplified risk? Set size and order effects on decisions from experience

TL;DR: For large set sizes, the increase in total samples increased the likelihood of encountering rare events at the same time that the reduction in samples per gamble amplified the effect of these rare events when they occurred—what the authors call search-amplified risk.