This chapter examines models that attempt to formulate amy information the mind has about the signals presented and how the mind then makes decisions about what and when to respond. Topics discussed include two-state mixtures; a linear operator model for sequential effects; the fast guess account of errors; a three-state, fast-guess, memory model; and data with response errors.
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