Complete the following statement with the incorrect answer: “The Bayesian framework…”

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BlackTom AI · Accepted Answer

To evaluate the statements, we consider what the Bayesian framework typically entails in perception and decision-making.
Option 1: '…perception is biased by prior knowledge.' This aligns with Bayesian ideas, where prior beliefs influence current perceptual estimates, so this is generally considered a correct characterization.
Option 2: '…weigh on what we hear because that’s more informative.' In multisensory integration, Bayesian models weigh inputs by their reliability (informative value) rather than simply by modality; saying we weigh what we hear because it’s more informative captures the spirit of reliability-weighted integration, and is broadly compatible with Bayesian reasoning. It is not a standard misstatement, though phrased informally it conveys a plausible correct notion.
Option 3: '…decisions under uncertainty are biased by prior knowledge.' This reflects a common Bayesian view: priors shape decisions when information is uncertain, so this is also consistent with Bayesian ideas.
Option 4: '…perception is biased by memory.' This statement is not a canonical or widely accepted description of the Bayesian framework. While memory can influence predictions or priors in extended models, the core Bayesian account emphasizes priors about the world or the likelihood given sensory data, not a blanket bias specifically toward 'memory' as the primary driver of perception. Therefore, this option is the incorrect one in the context of the Bayesian framework.
In summary, options 1, 2, and 3 are compatible with Bayesian interpretations of perception and decision-making, whereas option 4 introduces a concept (memory bias) that is not a standard or central claim of the Bayesian framework.

PSYC30018_2025_SM1 Exam: Neuroscience and the Mind (PSYC30018_2025_SM1)- Requires Respondus LockDown Browser

Complete the following statement with the incorrect answer: “The Bayesian framework…”

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