Reasoning Flashcards

1
Q

What is deductive reasoning

A
  • Treating information provided as accurate
  • All information is provided for solving the problem
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is conditional reasoning

A
  • Solving problems using conditional statements

I.e. (Marcus & Rips, 1979)
If it is raining then Fred’s hair gets wet
It is raining
Fred’s hair gets wet

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Why do people make mistakes for conditional reasoning problem solving tasks

A
  • It can be hard to reason when tasks aren’t relating to real world concepts (Oaksford & Chater, 1994)
  • We just struggle with understanding formal logical tasks. We can reason logically most of the time (Braine, 1978)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Abstract Rule Theory
(Braine , 1978)

(theory of deductive reasoning)

A

People can reason logically but mistakes are made:
- misunderstand task
- too much mental effort

Comprehension error
- people assume what they know in real life relates to problem I.e. when it rains hair gets wet

  • Reduce comprehension errors, presenting additional clarifying sentences (Braine et al, 1984)
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Mental Model Theory
(Johnson-Laird, 1999)

(Theory of deductive reasoning)

A
  • Creating a mental image in your head to help solve problems
  • High demand on working memory

Principle of truth:
- Individuals tend to construct mental models to represent what is true

Newstead et al (1999)
- Mental models theory predicts more conclusions where more mental models created
- They found no difference in number of conclusions considered

(hard to get evidence as theres always alternative explanations)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Dual Systems approach
(reviewed by Evans, 2003)

(Theory of deductive reasoning)

A

Two systems
- Fast, automatic, based on prior knowledge and heuristics
- Slow, deliberate, abstract, based on logic

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Probabilistic approach
(Oaksford and Charter, 2001)

(Theory of deductive reasoning)

A
  • Probabilistic reasoning is used by people to solve deductive reasoning tasks over logic.

An example of this is Wason (1968) Selection Task

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Wason (1968) Selection Task

A

A D 4 7
- If there is an A on one side of the card, then there is a 4 on the other side.

Answer - A 7
- only 4% correct

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Thematic Materials

A
  • People better at reasoning when material is meaningful
  • Memory cuing hypothesis (Griggs & Coz, 1982), better at solving when involve real life. I.e. solve drinking problem based on their own experience.
  • Memory cueing instead of proper reasoning

Manktelow & Evans, 1979
‘everytime i eat haddock i drink gin’
- drop in performance and real world version

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Social Contact theory

A
  • We should be good at problem solving tasks which involve social contracts

Gigerenzer & Hug (1992)
- If a employee gets a pension then they have worked for 10 years.
- Manipulate view point of being employer or employee
- The view point does impact the results

Criticisms of theory
- Only applies to ‘deontic’ versions of the Wason task
- Not always replicable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Probabilistic Approach
(Oaksford & Chater, 1994)

A
  • Explains performance for all of the Wason tasks
  • Don’t treat it as a deductive reasoning task but treat it as probability
  • They did a meta analysis of over 30 experiments using different versions of the selection task
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Deductive reasoning summary

A
  • Characteristic errors i.e. can’t understand task, lack of biological approach, tendency to probabilistic approach in line with real life reasoning
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

Inductive reasoning

A
  • Going beyond information provided to make conclusions (hypothesis testing)
  • Conclusions may not always be true
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Inductive reasoning

(Wason, 1960)

A
  • 2-4-6 is a pattern
  • Participants come up with triplets and ask experimenter if they confirm to the rule until they figure it out
  • 21% correct with first statement
  • 70% correct in the end
  • Attempt to confirm rather than disconfirm hypothesis
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Tweney et al (1980)

A
  • Performance doesn’t improve when asked specifically to use disconfirmatory approach
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Mynatt et al (1977)

A
  • Shapes influenced the direction of particles being fired on a screen participants had to figure this out.
  • Participants could confirm or disconfirm their hypotheses on a screen.
  • They consistently chose a screen that allowed them to confirm their hypotheses
  • 91% changed their hypotheses to correct one when given disconfirmatory evidence
17
Q

Mitroff (1974)

A
  • NASA scientists committed to confirming their work
  • Scientists with these views rated as especially prominent and successful by their peers
18
Q

Adaptive rationality
(Anderson, 1990)

A
  • Reasoning is rational when adapted to the environment
19
Q

Summary

A
  • People make errors in deductive and inductive reasoning
  • lab tasks are highly contrived and hard to relate to real life.
  • The way people behave makes sense for real life reasoning