the psychology of planning Flashcards
what is planning?
- 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
what is planning - problem components
- 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
what is planning - problem decomposition
- “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
what is planning - decomposition orders
- Breadth-first:
- Advantage - minimal commitment
- Depth-first:
- Advantage - immediate feedback; lower cognitive load
- Opportunistic:
- Capitalising on current state
what is planning - the problem space
· The mental representation of a problem
- State space
- Task environment
- Information processing system
the state space
· 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
task environment
· The way a problem is presented to the solver:
- Format - display type
- Thematic content - e.g., familiarity
- Conditions - e.g., criticality; risk
information processing system
· 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
what is planning - search using heuristics
· 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
means-ends analysis and the TOH
· 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)
other heuristics
· Means-ends analysis
· Hill-climbing
· Trial and error
· Heuristics for sampling
- Anchoring
- Representativeness
- Etc
what happens when we dont plan
· Act first, think later: effects of maximisation, minimisation and lookahead on inferential planning in problem-solving