Thinking Flashcards

Reasoning, problem solving and decision making

1
Q

Thinking

A

manipulating mental representations for a purpose
(→ extension of perception and memory → form mental representations, retrieve representations from semantic memory → mentally manipulate representations for achieve purpose)

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2
Q

Mental models

A

representation that describes, explains and predicts how things work

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3
Q

Categories and categorisation

A
  • groupings with common/essential properties
  • Categorisation= recognising object as member through:
  • defining features (essential characteristics, but slow) or similarity to prototypes (abstract, but our own typical /average example, more common and quicker)
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4
Q

Concept and hierarchically order

A
  • mental representation of category (that a cat is small, has fur, four legs, etc).
  • efficient thinking=choosing right level of sub-level
  • Basic level (natural, quickest, broad. Eg: woman, bird, car etc)
  • Subordinate level (more specific, like type of dog)
  • Superordinate level (abstract, above basic level. Few common features, level of metaphor, living thing, animal, human etc)
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5
Q

Reasoning

A

evaluate arguments, usually for decision making (process of thinking, conclusions drawn from given information

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6
Q

Deductive reasoning

A
  • from general to specific, based on logic, premises
  • draw conclusion from statement (idea)
  • syllogism
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7
Q

Inductive reasoning

A
  • from specific to general conclusion, probability

- based on available evidence and past experience

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8
Q

Analogical reasoning

A

understanding novel situation in terms of another one (categorise, interferences, solve problems)

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9
Q

Transitive Inference

A

conclude things we haven’t seen first hand. Tom is happier than bill. Bill is happier than mike. Who is happiest?

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10
Q

Problem Solving

A

transform one situation into another to meet a goal

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11
Q

Three components in Problem Solving

A
  • Initial state: current, unsatisfactory.
  • Goal state: desired.
  • Operations: steps to move from initial to goal state
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12
Q

Problem solving strategies:

A
  • Algorithms: step by step, always find solution. Rules for algebra etc. Systematic, time consuming, good for simple problems (well-defined)
  • Mental simulation: imagining steps before doing them
  • Means-ends analysis: ill-defined problems, define initial & goal state, their differences, Break it down to sub-goals towards solution and then take actions.
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13
Q

Barriers in problem solving

A
  • Functional Fixedness: ignore other possible functions of an object (Duncker’s candle problem)
  • Mental set: same problems solving technique that worked in the past
  • Confirmation bias: search for confirmation of what we already believe
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14
Q

Decision making

A

pros and cons of alternatives to make a decision

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15
Q

Heuristics

A

rules of thumb guiding principles, cognitive shortcuts, to choose alternative, without careful thought/consideration. Rapid, efficient but sometimes irrational

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16
Q

Availability Heuristic and Representativeness Heuristic

A
  1. what we can recall easily is most common → biased judgement. Overestimate likely of dramatic events etc
  2. estimated probability of event is based on how similar it is to prototype of that event. Ignore probability, pure categorisation by similarity to prototype.
17
Q

Bounded rationality

A

being rational within bounds imposed by environment, goals and abilities. Not optimal judgements, but good enough concidering the time and incomplete info, abilities etc.

18
Q

Implicit learning

A

outside awareness. Most learning is implicit.