the psychology of planning Flashcards

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1
Q

what is planning?

A
  • Planning - deciding on the order and intensity of decomposition of problem, and determining consequences of alternative plans
    • Planning involves search through the problem space
    • Search is guided by heuristics
    • Planning is constrained
    • Planning is mediated by external environments
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2
Q

what is planning - problem components

A
  • Initial state - the problem as presented
    • Goal state - the aim/intention/desired outcome
    • Operators - things you can do/try/execute
  • Constraints - limitations on what you can do/try/execute, additional requirements/rules
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3
Q

what is planning - problem decomposition

A
  • “Design may be the ultimate expression of human thought” (Simon, 1981)
    • Complex, multi-faceted
    • Constrained by domain, brief, market and tradition
    • Requiring an element of creativity, sometimes novelty
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4
Q

what is planning - decomposition orders

A
  • Breadth-first:
    • Advantage - minimal commitment
    • Depth-first:
    • Advantage - immediate feedback; lower cognitive load
    • Opportunistic:
    • Capitalising on current state
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5
Q

what is planning - the problem space

A

· The mental representation of a problem
- State space
- Task environment
- Information processing system

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6
Q

the state space

A

· All possible paths between initial and goal states
· The larger it is, the harder a problem will be to solve
· Newell and Simon (1972) - concepts of ‘bounded rationality’ and satisficing
· Towers of Hanoi

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7
Q

task environment

A

· The way a problem is presented to the solver:
- Format - display type
- Thematic content - e.g., familiarity
- Conditions - e.g., criticality; risk

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8
Q

information processing system

A

· Working memory:
- Constraint on planning steps
- Chess - from any given position there are on average 35 possible moves. If a chess game lasts 100 moves = 35100 possible moves. Impossible to calculate
· Long-term memory:
- Knowledge of solutions, operators and constraints
- Expertise

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9
Q

what is planning - search using heuristics

A

· Means-ends analysis
- E.g., fix a car tyre
- Make situation safe; Remove wheel; Loosen nuts; Raise car; Undo nuts; Slide wheel off; Replace wheel, lower car; tighten nuts, etc.
· Operator selection
- Select operator that maximises reduction of distance between initial and goal states
- Set as ‘sub-goal’ to apply the operator

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10
Q

means-ends analysis and the TOH

A

· Goal – move all three disks from A to C
· Operator – move disks 3 then 2 then 1 to C
- Subgoal – move 2 then 1 to C
- Subgoal – move 1 to C
· BUT this can lead to a wrong move (1 to B so you can move 2 to C faster)
- -> planning (i.e. thinking ahead)

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11
Q

other heuristics

A

· Means-ends analysis
· Hill-climbing
· Trial and error
· Heuristics for sampling
- Anchoring
- Representativeness
- Etc

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12
Q

what happens when we dont plan

A

· Act first, think later: effects of maximisation, minimisation and lookahead on inferential planning in problem-solving

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