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A perceptual paradox illustrates the failure of a theoretical prediction. Theories of perception are supposed to help a researcher predict what will be perceived when senses are stimulated. A theory usually comprises a mathematical model (formula),rules for collecting physical measurements for input into the model,and rules for collecting physical measurements to which model outputs should map. When arbitrarily choosing valid input data, the model should reliably generate output data that is indistinguishable from that which is measured in the system being modeled.

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  • A perceptual paradox illustrates the failure of a theoretical prediction. Theories of perception are supposed to help a researcher predict what will be perceived when senses are stimulated. A theory usually comprises a mathematical model (formula),rules for collecting physical measurements for input into the model,and rules for collecting physical measurements to which model outputs should map. When arbitrarily choosing valid input data, the model should reliably generate output data that is indistinguishable from that which is measured in the system being modeled. Although each theory may be useful for some limited predictions,theories of vision, hearing, touch, smell, and taste are not typicallyreliable for comprehensive modeling of perception based on sensory inputs. A paradox illustrates where a theoretical prediction fails.Sometimes, even in the absence of a predictive theory,the characteristics of perception seem nonsensical. This page lists some paradoxes and seemingly impossible properties of perception. When an animal is not named in connection with the discussion, human perception should be assumed sincethe majority of perceptual research data applies to humans. (en)
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  • A perceptual paradox illustrates the failure of a theoretical prediction. Theories of perception are supposed to help a researcher predict what will be perceived when senses are stimulated. A theory usually comprises a mathematical model (formula),rules for collecting physical measurements for input into the model,and rules for collecting physical measurements to which model outputs should map. When arbitrarily choosing valid input data, the model should reliably generate output data that is indistinguishable from that which is measured in the system being modeled. (en)
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  • Perceptual paradox (en)
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