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Cognitive Psychology Chapter 12 Problem Solving.

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Presentation on theme: "Cognitive Psychology Chapter 12 Problem Solving."— Presentation transcript:

1 Cognitive Psychology Chapter 12 Problem Solving

2 Outline 4/21/2017 Problem Solving Basics Neurocognition Creativity
Problem Solving Strategies Neurocognition Brain systems Analogy and Insight The Resource Analogy Creativity Expertise Improving Problem Solving Study Questions. • Describe any of strategies that can be applied to problem solving. • Compare and contrast creativity and expertise. How are these qualities related to problem solving?

3 Problem Solving Problem Solving Basics Strategies for solving problems
Two boys and one man want to cross a river but the boat will only hold either the two boys or the one man. How many times must the boat cross the river to accomplish this goal? (a round trip counts as two crossings). Subgoals E.g., Try to get the man across with a boy there to take back the boat.

4 Problem Solving Problem Solving Basics Strategies for solving problems
Subgoals

5 Problem Solving Problem Solving Basics Strategies for solving problems
Subgoals The Hobbits and Orcs problem graph

6 H O Boat OO HHH HH OOO 1H 1O 2O 2 H 1 O 2 O 1 H HHH OOO Boat 1 H 1 O 2 O HH OO HHH O Boat H 1 H 1 O HHH OO Boat O 2 O HHH OOO Boat 1 O HHH O Boat OO 2 H H O HH OO Boat 1 H 1 O

7 Problem Solving Problem Solving Basics Strategies for solving problems
Subgoals The Hobbits and Orcs problem graph Hayes (1966) Presented a 5/5 boat transformation task Gave subjects a subgoal Three orcs on one side without the boat Control group: 30 moves Experimental group: 20 moves

8 Problem Solving Problem Solving Basics Strategies for solving problems
Brute Force Go through all possible states until solution is found Even in Computer science, it is a last result Hill Climbing Always move towards goal We often have to move away from the goal e.g., Hobbits and Orcs problem

9 Problem Solving Problem Solving Basics Strategies for solving problems
Means-Ends analysis Five Steps 1. Set up a goal or subgoal 2. Look at the difference between the current state and the goal/subgoal state 3. Look for an operator that will reduce or eliminate the difference 4. Apply the operator 5. Apply steps 2 to 4 repeatedly until all goals have been achieved

10 Problem Solving Problem Solving Basics Strategies for solving problems
Analogy The jealous husbands problem People tended not make use of the analogy Attack - dispersion, Radiation, & Oil fire problem Students who read two stories and could describe the convergence schema were more likely to solve the third. One needs to know that the analogy exists

11 Problem Solving Problem Solving Basics Strategies for solving problems
Trial and Error Needs small problem graph/space Type of brute force C.f., The card game problem Working backwards The card game problem A B C Round 3 (8) 8 8 Round (4) 4 Round (2) Ante

12 Problem Solving Neurocognition
Problem solving involves multiple brain regions Nichelli et al. (1994) Used PET imaging while solving various chess problems Premotor Task Identify chess piece Determine location of piece Think about making a move Remembering a move Planning and executing strategies Hippocampus Where Prefrontal Cortex What

13 Problem Solving Neurocognition Role of prefrontal cortex Incubation
Allows us to return to a problem after interruption Branching Allows us to keep a goal in mind over time while allocating resources to other processes I.e., multitasking Correlate of intelligence tests Involved in solving Raven's Advanced Progressive Matrices • Fluid intelligence (Spearman’s inherited intelligence)

14 Problem Solving Neurocognition Analogical reasoning
Wharton et al. (2000) Used PET imaging while solving analogy problems Medial frontal cortex, left prefrontal/ inferior cortex Source Correct Target Incorrect Spatial Incorrect Object relations relations Analogy Literal

15 Problem Solving Neurocognition Analogical reasoning
Wharton et al. (2000)

16 Problem Solving Neurocognition Insight (Bowden & Beeman, 1998)
Solved compound remote associates A.K.A. Trigrams E.g, Falling Actor Dust Broken Clear Eye Presented with a lateralized word to name 15s later Either the solution or an unrelated word

17 Problem Solving Neurocognition Insight (Bowden & Beeman, 1998) Results

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19 Problem Solving Creativity What is creativity? How much you know
I.e., Problem solving ability and insight Intelligence does not seem to be a factor e.g., Fighter pilots in WWII Convergent versus divergent thinking Convergent: a single correct solution to a problem • IQ tests Divergent: Ability to find paths to unusual solutions • Leads to multiple answers Who you are Personality variable (“Openness”) Common personality traits associated with creative people

20 Problem Solving Creativity What is creativity?
Characteristics of creative people Ideational fluency: number of ideas/sentences/associations in response to a word Variety and flexibility: Number of different solutions in response to listing possible uses (e.g, of a newspaper) Originality: Obtain solutions others do not get. Problem sensitivity: ability to recognize the central challenge and difficulties in solving a task. Redefinition: Capacity to view a known problem in a different light.

21 Problem Solving Creativity Neurocognition of creativity Synethesia
Metaphor/analogy Fronto-temperal dementia A symptom is increased creativity Left Hemisphere- Convergent thinking Right Hemisphere- Divergent thinking Does our educational system stifle the right hemisphere? FTD is usually associated with more left hemisphere dysfunction The left brain keeps the right brain in check, creativity takes the entire brain.

22 Problem Solving Creativity Neurocognition of creativity
Van Gogh’s later work

23 Problem Solving Expertise Characteristics of experts
More declarative knowledge Rich Schemas Focus on deep vs. surface structure More time on representation More sophisticated representation/ use of analogy Automated sequence of steps with solving strategies More time efficient (can work under speed pressure) Careful monitoring More flexibility

24 Problem Solving Expertise Characteristics of experts
Talent or practice? Gladwell’s “Outliers” • To become an expert is to become an outlier in ability • The 10,000 hr, 10 year rule -> 20 year old violinists

25 Problem Solving Expertise Characteristics of experts

26 Problem Solving + Neurocognition The resource analogy
Reichle, et al. (2000) Used sentence-picture verification task e.g., It is not true that the star is above the plus Negative statements slower than affirmative ‘Polarity’ interacts with truth value Unless you have high spatial abilities Manipulated verbal and visual strategies Increased activity in expected places Measured verbal and spatial abilities Negative correlations between activity level and ability for active hemispheres +

27 Problem Solving Improving your problem solving skills
Increase your domain of knowledge Automate components Follow a systematic plan Draw inferences Develop subgoals Work Backwards Search for contradictions Search for relations between problems Find a different representation Practice

28 Review Chapter 11: Decisions, Judgements, & Reasoning
Formal logic and reasoning Syllogisms Conditional reasoning Hypothesis testing Judgement Psychophysics Symbolic distance Cognitive maps

29 Review Chapter 11: Decisions, Judgements, & Reasoning Decisions
Algorithms & Heuristics Representiveness The law of small numbers Ignoring Base Rates The hot hand debate Availability Contributing factors The simulation heuristic The hindsight bias Anchoring and adjustment Framing Effects Loss aversion Sunk-cost effect Limitations in reasoning

30 Review Chapter 11: Decisions, Judgements, & Reasoning Study questions
Describe the Wasson selection task. What common type of logical errors are made by people attempting this task? What is the symbolic distance effect and why is it important in understanding the notion of representation? Compare and contrast the representativeness and the availability heuristics. What is loss aversion. Describe the effect of combining framing effects with loss aversion.

31 Review Chapter 11: Decisions, Judgements, & Reasoning Key Terms
Deductive reasoning, inductive reasoning, syllogism, validity, truth, soundness, set unions, mental model theory, mental logic theory, dual mechanism theory, conditional reasoning, modus tollens, modus ponens, affirming the consequence, denying the antecedent, Wasson selection test, bi-conditional reasoning, confirmation bias, the null hypothesis, psychophysics, just noticeable difference, Weber fraction, absolute threshold, signal detection theory, d’ (d-prime), memory operating characteristic, the distance or discriminability effect, the sybollic distance or discriminability effect, semantic congruency effect, algorithms, heuristics, the representativeness heuristic, the law of small numbers, base rate information, gambler’s fallacy, the hot hand theory, availability heuristic, simulation heuristic, counter-factual thinking, the undoing heuristic, hindsight bias, anchoring and adjustment, the framing effect, the sunk-cost effect, loss aversion, domain knowledge, conjunction fallacy.

32 Review Chapter 12: Problem solving The Gestaltist approach Analogy
Stages of thinking Representation Incubation Insight Problems in problem solving Analogy Multiconstraint theory Problem Solving Basics Characteristics of problem solving Well-defined and ill-defined problems Typologies Problem Solving Strategies Neurocognition Brain systems Analogy and Insight The Resource Analogy Creativity and Expertise Improving Problem Solving

33 Review Chapter 12: Problem Solving Study questions
Describe Wallas’ stages of thinking during problem solving. When do analogies work best in problem solving? Describe the multicontraint theory. Compare and contrast creativity and expertise. How are these qualities related to problem solving?

34 Review Chapter 12: Problem Solving Key Terms
Gestalt, insight, preparation, incubation, illumination, verification, representation, verbal protocol, functional fixedness, cognitive set, elaboration, constraint relaxation, re-encoding, analogy, convergence schema, multiconstraint theory, initial state, goal state, operators, problem space, well-defined and ill-defined problems, problems of inducing structure, problems of transformation, problems of arrangement, subgoals, brute force, hill-climbing, means-ends analysis, branching, pre-frontal cortex, the resource analogy, creativity, expertise,


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