Thought & Language Flashcards
Thought - Thinking - Representations (in terms of thinking)
Thought is an extension of perception and memory.
Thinking is manipulating mental representations (images or words) for a purpose using words, mental images and mental models.
^ we mentally manipulate the representations to achieve some purpose
^ we recall representations using memory
Mental Models
+ examples of mental models
Involve a representation that describes, explains or predicts how things work.
E.g. Model of the synapse/ how cars work/ model of working memory
Categories & Concepts
Objects are classified on the basis of their properties
CATEGORIES: Grouping based on common properties
CONCEPT: a mental representation of a category
(E.g. Cat = a small, furry, four legged, independent animal)
Process of Categorisation
&
How we categorise objects (2)
Categorisation involves recognising an object as a member of a category.
Categorise by:
- Comparison with defining features. (Qualities that are essential for membership of the categories)
- Similarity/Dissimilarity to prototypes. (An abstraction across many instances of a category)
Example of how multiple concepts can represent information:
(laptop)
(DF, CF, E)
Defining features:
• Electronic device
• Has particular architecture or operating system
• Uses digital processes to perform computations
Characteristic features:
• has a keyboard
• has a screen
• can be used for word processing & web browsing
• can store information on hard drive/USB
Exemplars:
• Apple iMac
• IBM Pentium
Hierarchies of concepts
+ effective thinking in hierarchies
+ example of hierarchy of concept
Many concepts are hierarchically ordered, with subconcepts at varying levels of abstraction. Efficient thinking requires the right level of abstraction.
Example (downwards flow):
Superordinate level: mammal
Basic level:
• dog
• cat
• possum
Subordinate level:
• blue heeler, kelpie, golden retriever
• Siamese, tabby, Burmese
• Ringtail, brush tail
Levels of categorisation (3)
SUPERORDINATE: more abstract then basic. Members share few specific features. Level of metaphor.
E.g. Animal
BASIC: broadest, most inclusive, ‘natural’ level, quickest response.
E.g. bird
SUBORDINATE: more specific than basic
E.g. Magpie
Culture and Categorisation
2 points + example for each
• Culture showed our basic categorisation.
E.g. An aboriginal community includes women, fire and dangerous things in one category - natural to their culture, not to others.
• Culture can also effect the extent to which people rely on similarity or defining features in categorisation.
E.g. East Asians tend to rely on similarity, Australia/NZ tend to rely on rules.
Reasoning
And two types of reasoning (inductive and deductive)
The process by which people generate and evaluate arguments and beliefs.
INDUCTIVE: reasoning from specific observations to general proposition. (Relies heavily on probabilities)
DEDUCTIVE: drawing a conclusion from a set of assumptions or premises. (The conclusion is true if the premise is true and reasoning logical)
Reasoning by Analogy
What it is and how it works
Analogical reasoning is the process by which people understand a novel situation in terms of a familiar one.
The novel and familiar situations must contain a number of elements that can be mapped onto each other.
E.g. Using the Vietnam war as an analogy for the Iraq conflict
Problem Solving
+ example in 3 steps
Refers to th worlds by which we transform one situation into another to meet a goal
E.g.
Initial state (a problem)
> operators (actions performed to solve the problem)
> goal state (problem solved)
Types of Problems (2)
Problems vary by definition….
Well defined problem: ones where the initial state, goal state and operators are clearly identified.
Ill defined problem: problems occur when both the information needed to solve the problem and the criteria for determining when the goal state has been met are vague. (E.g. A leader tasked with ‘improving morale’)
Strategies to Problem Solving
- why they’re needed
- 3 types of strategies (ALG, MS, HT)
Strategies are designed to avoid lengthy processes of trying every potential operator to solve a problem.
ALGORITHM: systematic procedures that will produce a solution to a (simple) problem
MENTAL SIMULATION: the mental rehearsal of the steps needed to solve a problem. (Important in exam/test performance)
HYPOTHESIS TESTING: making an educated guess about a problem and testing it
Barriers to problem solving
Functional Fixedness, mental set, confirmation bias
FUNCTIONAL FIXEDNESS: the tendency to fix on a function for an object and ignore other possible uses
MENTAL SET: the tendency to keep using the same problem solving techniques that have been successful in the past
CONFIRMATION BIAS: the tendency to search for confirmation on what we already believe
Decision making
- what is it
- 2 types (utilities - WV and E)
The process by which an individual weighs the pros and cons of different alternatives in order to make a choice
WEIGHTED UTILITY VALUE: a combined judgement of the importance of an attribute and the extent to which a given option satisfied it.
EXPECTED UTILITY: a combined judgement of the weighted utility and the expected probability of obtaining that outcome