Problem Solving Flashcards
Types of Problem Solving given by
Greeno (1978)
Several instances are given and one has to find the rule/pattern involved.
Name type of problem given by Greeno
Inducing Structure
Initial stage given and one has to find the sequence of operations that will produce goal state.
Name type of problem given by Greeno
Transformation
All elements given are arranged in a way that problem is solved.
Name type of problem by Greeno.
Arrangement
Examples of problems are given. Name type of problem given by Greeno
1). Hanoi Tower Problem
2). Anagrams
3). Reasoning by Analogy
4). Luchin Water Mug
1). Inducing Structure: Reasoning by Analogy
2). Transformation: Hanoi Tower Problem
3). Arrangement: Anagram, Luchin water mug
Characteristics of a well defined problem:
Clear given and end state, limited no. of operations which can be applied to given state.
If these 3 are present, then any problem can be solved by a computer. T/F
T
There is no way to find an algorithmic solution to ill defined problems. T/F
F. Ill defined problems can be divided into sub-problems which can be well defined.
It is ill defined problems which require creativity. Well defined ones can be solved using simple algorithms, creativity not needed. T/F
F. Even well defined problems involve creativity if analysed in depth.
Ill defined problems can be divided into sub problems which can be well defined.
3 concepts of problem solving
1). Problem currently in a state of flux
2). Problem should be in a different state
3). No direct, obvious way to effect the change.
Concepts given by?
Mayer (1983)
Rearrange:
Evaluation, Organizing of Information, Monitoring, Problem Identification, Allocation of Resources, Problem Definition, Strategy Formulation
1). Problem Identification
2). Problem Definition
3). Strategy Formulation
4). Organizing of Information
5). Allocation of Resources
6). Monitoring
7). Evaluation
Four stages by Graham Wallas
1). Preparation
2). Incubation
3). Insight
4). Verification
Stages:
1). Understand problem
2). Make plan
3). Carry out plan
4). Looking back
Theory given by
Polya (1957)
Information Processing Theory of Problem Solving was given by
Newell & Simon
Name concept where problem solver continuously works to reduce the difference between the current state and the goal state. This involves selecting operators that minimize the difference.
Information Processing of Problem Solving (Given by?)
Means-End Analysis
Given by Newell & Simon
State Representation: defining initial and goal state
Problem Space: has possibilities of all states between initial and end goal state
Operators: Can be taken to reduce space between initial and goal state
Concepts of which theory of problem solving?
Information Processing Theory of Problem Solving by Newell & Simon
Means-End Analysis, Subgoal Decomposition, Heuristics
Concepts of which theory of problem solving
Information Processing Theory of Problem Solving by Newell and Simon
Name this heuristic technique which involves the tendency to rely too heavily on the first piece of information encountered when making decisions. Subsequent adjustments are often insufficient, leading to a biased final judgment.
Anchoring/Adjustment Heuristics
Which heuristic is based on the influence of emotions or feelings on decision-making? People tend to make judgments and decisions based on their emotional reactions, valuing positive experiences and avoiding negative ones.
Affect Heuristic
Name this heuristic, people assess the probability of an event or the frequency of a category based on its availability in memory. If something is easily recalled, it is often considered more probable or frequent.
Availability Heuristic
Example: If a person hears about a plane crash on the news, they might overestimate the likelihood of such events occurring because the vivid and dramatic nature of the information makes it more available in their memory. Name heuristic.
Availability Heuristic
Name this heuristic involves making judgments about the probability of an event based on how similar it is to a prototype or stereotype. It relies on categorizing objects or events based on how representative they are of a particular category.
Representativeness Heuristic