Task 3 - Problem Solving Flashcards
Well-defined problems
all aspects of the problem are clearly specified (= initial state, goal, methods available) (e.g. maze or chess)
(used in research as there’s an optimal strategy and errors/deficiencies can easily be identified
Ill-defined problems
definition of problem is underspecified, initial state, goal state & methods unclear (e.g. keys locked in car)
(every day problems)
Knowledge-rich problems
can only be solved with considerable amounts of prior knowledge
Knowledge-lean problems
can be solved without prior knowledge as necessary info is provided by problem statement
Major Aspects of Problem Solving
- It’s purposeful (goal-directed)
- Involves controlled rather than automatic processes
- A problem only exists if someone lacks the relevant knowledge to produce an immediate solution
Factors Influencing Problem-Solving
- Past experience
- Incubation
- Expertise
functional fixedness – (Past experience)
fail to solve a problem because we assume from past experience that any given object has a limited number of uses (e.g. candle and box of nails - Duncker problem)
Einstellung – (Past experience)
mental set in which people use a familiar strategy even where there is a simpler alternative or the problem cannot be solved using it
Incubation
the finding that a problem is solved more easily when it is put away for some time (Wallas)
- fairly small but highly significant effect
- -> stronger effect for creative problems with multiple solutions & when long preparation time prior to
Incubation (Wallas vs Simon)
- Wallace: subconscious keeps processing
- Simon: forget control information which makes it easier to adopt a new approach
- —– Support: in an experiment there was an effect only when the break allowed misleading information to be forgotten
Expertise
Chunking theory
memory chunks contain more information & more chunks are stored
Expertise
Template theory
chunks that are used frequently develop into more complex data structures –> few large templates (=more general_ rather than large number of chunks
— Template = core (= similar to fixed info stored in chunks) + slots (=contain variable info) thus are more flexible
Expertise
Routine expertise
using acquired knowledge to solve familiar problems efficiently (focus of template theory)
Expertise
Adaptive Expertise
using acquired knowledge to develop strategies for dealing with novel problems
Gestalt approach
- Productive thinking (solving a problem with insight)
- – Duncker problem (with candle, box and nails)
Predecessor
- Reproductive thinking (solving a problem with previous experience and what is known)
- – Trial-and-error learning
Trial-and-error learning
a solution is reached by producing fairly random responses rather than by a process of thought
Reproductive thinking
re-use of previous experiences/ knowledge to solve a current problem (Thorndike’s cat experiment)
Productive thinking
solving a problem by developing an understanding of the problem’s underlying structure (Gestalt approach)
Representational Change Theory (Ohlsson)
- activation of new network
- largely based on gestalt approach combined with information-processing approach, emphasising insight –> difference to gestalt: more detailed explanation of how one gets to insight