Chapter 8 Flashcards
Külpes introspection
tried to research problem solving through introspection.
participants focused on their mental experience
stated that some thought are imageless
thorndike’s behavioral approach to problem solving
concentrated on behavior
problem solving is trial and error
operant conditioning
gestalt approach
there is insight to find new solutions;
and reproductive thinking to apply past solutions
insight
The reorganizing or restructuring of the elements of the problem situation in such a way as to provide a solution. Also known as productive thinking.
two string problem
a problem where people must repurpose tools to solve it
functional fixedness
The inability to use an object appropriately in a given situation because of prior experience of using the object in a different way. Is a “block” to problem solution
mental set
A term to describe the rote application of one successful method to solve a problem which makes one ‘blind’ to an alternative and possibly much simpler method.
stages in the information processing approach (IPA)
general problem solver
- representing the problem
- selection of operators
- implementation of the selected operators
- evaluation of the current state
- representing the problem (IPA)
a !problem space! is constructed which includes both the initial state and the goal state, the instructions and the constraints on the problem and all relevant information retrieved from long-term memory. To assist such representation, symbols, lists, matrices, tree diagrams, graphs and visual imagery can all be used. This first stage reflects the assumption that problemsolving can be regarded as a form of search in a space consisting of all possible states of the problem.
- selection of operators (IPA)
operators are actions that will achieve a goal, and are used for transforming the initial state
- implementation of the chosen operators (IPA)
this results in a new current state within the problem space
- evaluation of the current state (IPA)
if it corresponds to the goal, a solution is reached
heuristics
Methods or strategies which often lead to a problem solution but are not guaranteed to succeed.
most problems are solved this way.
have to be distinguished from algorithms
algorithm
a method that will always yield a solution, sooner or later. You might have an algorithm to solve 21x123, a strategy that will always work
state-action tree
A diagram showing all the possible sequences of actions and intermediate states which can be constructed if the problem is well-defined.
problem reduction
An approach to problem solving that converts the problem into a number of sub-problems, each of which can be solved separately.
hill climbing
operators are selected which make the current state of the problem as similar as possible to the goal state, so the problemsolver is likely to choose moves that reduce the distance between the current and goal states
means-ends analysis
A general heuristic where a sub-problem is selected that will reduce the difference between the current state and the goal state.
e.g.: making travel plans
difficulties in applying problem solving strategies
people have trouble making moves that increase the distance between current state and goal state, although they might be necessary
for very complex problems we need to shift strategies
inappropriate use of heuristics
impasse
A sort of mental ‘blank’ experienced when trying to solve a problem, which is accompanied by a subjective feeling of not knowing what to do.
Can be caused by representing the problem wrongly
representational-change explanation
reorganizing and restructuring the elements of a problem. ´The includes “chunk decomposition” and “constraints relaxation”
chunk decomposition
Familiarity with certain objects or events can result in
the abstraction of a pattern or chunk of components or features, and to solve a problem we may need to change the way this information has been encoded. the probability of reencoding a piece of information is an inverse function of how tightly the information is chunked in the current representation
constraint relaxation
We natural assume constraints to the solution of a task, that might not actually be there. constraint relaxation can help overcome an impasse by making the requirements of the task less restrictive than initially assumed.
two process model
- using a representational change
- the selection of the procedure is reinforced when it is used repeatedly, assuming it is successful
When non-insight problems are encountered, the first process is skipped and if an insight problem follows the representational change process will have to be applied first.
Therefore first solving non-insight problems will not
hinder the subsequent solution of insight problems. However, solving insight problems using one particular representational change process will inhibit the solution of subsequent insight problems if these need to be solved via a different form of representational change