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By Saul Sternberg. Science153(3736),652–654(5August1966). DOI doi.org/10.1126/science.153.3736.652

Original-paper copy www.ucg.ac.me/skladiste/blog_10209/objava_71030/fajlovi/Sternberg.pdf verifies full author byline. Abstract: mean reaction time increases with memorized-set length; original serial-comparison interpretation. An illustrative linear model does not uniquely prove that architecture.

A mental process is an activity involved in cognition, such as allocating attention, interpreting a sensory pattern, retrieving human memory or selecting a response. The process is an explanatory construct: a keypress or spoken answer is an observation used to investigate it, not a direct measurement of every internal step.

Saul Sternberg tested whether a presented symbol belonged to a short memorized set. His 1966 study found that mean reaction time increased approximately linearly with set length and interpreted the pattern in terms of rapid internal comparisons.^[ref]

An invented model illustrates the reasoning. Suppose $T(n)=a+bn$, where $n$ is set size, $a=300\mathrm{ms}$ and $b=40\mathrm{ms}$ per item. Then $T(2)=380\mathrm{ms}$ and $T(5)=500\mathrm{ms}$. The intercept can summarize operations whose duration does not vary with $n$, while the slope summarizes the measured size effect. These values are illustrative, not Sternberg's reported estimates.

A good fit establishes a pattern that a proposed mental process can explain; it need not uniquely establish that process. Changes in attention, response strategy or other operations may also affect reaction time. Comparing predictions across controlled conditions makes the inference stronger than naming an internal activity after one measured response.

Saul Sternberg investigated the timing of mental processes using controlled reaction time experiments. In a 1966 memory-scanning study, participants judged whether a test symbol belonged to a short memorized set. Mean reaction time increased with set length, motivating an account involving rapid internal comparisons.^[ref]

An illustrative decomposition is $T(n)=a+bn$, where $n$ is the number of stored symbols, $a$ summarizes size-independent time and $b$ summarizes additional time per item. If $a=300\mathrm{ms}$ and $b=35\mathrm{ms}$ per item, increasing $n$ from two to six increases predicted time from $370$ to $510\mathrm{ms}$. These are invented teaching values, not reported estimates.

The methodological insight is to turn a proposed mental process into a pattern of quantitative predictions. A linear trend by itself does not uniquely prove one internal architecture; competing processes and strategies must be compared. This distinction keeps the observed timing effect separate from the explanatory model.

Institutional profile: psychology.sas.upenn.edu/people/saul-sternberg .