Cognitive Psychology: Problem Solving and Skill Acquisition

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This set covers key concepts from the lecture on decision-making, cognitive problem solving, and the stages of skill acquisition, including specific psychological studies and brain regions.

Last updated 3:31 PM on 4/29/26
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29 Terms

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Ventromedial prefrontal cortex (vmPFC)

A brain region implicated in several mental health disorders such as OCD and depression; it plays an important role in regulating decision making.

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Basal ganglia

A region that Olds and Milner (1954) found drives compulsive behavior for stimulation; it is involved in acquiring problem-solving operators and procedural knowledge.

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Dopamine neurons

A system present in all mammals that shows increased activity for basic rewards such as food and sex.

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Shuford (1961) experiment

A study where participants exhibited a fairly accurate ability to estimate the proportions of vertical and horizontal bars in a display.

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Kahneman and Tversky (1984)

Research demonstrating that people make choices depending on how the choices are worded (framing effects).

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McNeil et al. (1982)

A study finding that doctors choose treatments depending on whether results are described in terms of living or dying.

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Mercier & Sperber (2011)

Suggested that humans make complicated decisions by choosing an alternative that they can justify to themselves.

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Prior probability (base rate)

The probability that a hypothesis is true before considering new evidence.

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Base-rate neglect

A phenomenon shown by Gluck and Bower (1988) where participants do not use base rates to diagnose diseases; this neglect decreases when using frequencies instead of probabilities.

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Problem space

All possible states a problem can take along with the operators for changing one state to another.

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Goal directedness

One of the three essential features of problem solving, referring to behavior aimed at a specific objective.

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Subgoal decomposition

An essential feature of problem solving involving breaking a problem down into smaller, manageable parts.

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Operator application

An essential feature of problem solving involving the use of actions to transform one problem state into another.

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Methods of operator acquisition

The three ways to gain problem-solving tools: discovery, being told or instructed, and by example.

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Left anterior prefrontal cortex

The cortical region activated when solving analogy problems.

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Sultan

The ape studied by Wolfgang Köhler who solved the problem of reaching bananas by connecting two poles into one longer pole.

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Hill-climbing method

A problem-solving strategy involving reducing the difference between the current state and the goal state; it is often suboptimal for creative tasks or when steps back are necessary.

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Tower of Hanoi

A problem where the minimum number of moves is 7 and the greatest constraint is getting the largest disk to the goal peg.

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Mutilated-checkerboard problem

A problem that is unsolvable because the two removed squares are the same color, leaving unequal numbers of black and white squares for 31 dominos.

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Functional fixedness

The tendency to see objects only in terms of their usual functions, as seen in Duncker's candle problem.

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Einstellung

A set effect where there is a tendency to keep using a familiar strategy even when a better or simpler one exists.

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Insight problem solving

A cognitive process associated with a burst of activation in the right temporal cortex when a search for a solution is successful.

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Cognitive stage

The first stage of skill acquisition where facts are rehearsed and knowledge is in declarative form.

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Associative stage

The second stage of skill acquisition where declarative knowledge is converted into procedural knowledge and errors are eliminated.

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Autonomous stage

The final stage of skill acquisition where performance becomes automated, rapid, and requires fewer brain resources.

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Proceduralization

The process by which declarative knowledge is converted into procedural knowledge as expertise develops.

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Tactical learning

Learning specific sequences of actions to solve specific problems.

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Deep principles

The features experts use to classify problems, as opposed to novices who use surface features.

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Deliberate practice

The process identified by Ericsson et al. (1993) as necessary to become an expert; it accounts for about 30%30\% of expertise in chess and music according to Hambrick et al. (2014).