In this presentation, we will understand the meaning, determinants and types of human personality and its effect and impact on behavior. We will also discuss about Levinson’s Theory of Adult Stage, Hall’s Career Stage Model, Argyris Immaturity to Maturity Theory and the socialization process.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
In this presentation, we will understand the meaning, determinants and types of human personality and its effect and impact on behavior. We will also discuss about Levinson’s Theory of Adult Stage, Hall’s Career Stage Model, Argyris Immaturity to Maturity Theory and the socialization process.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
Lessons from the Astropy Code of ConductKelle Cruz
Talk given on Oct 15, 2019 at the Inclusive Astronomy 2 conference held in at STScI in Baltimore, MD. Video is here: https://cloudproject.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5bf2ea68-b046-4c13-9a4a-aaea00dae5f8
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. DOI:10.5281/zenodo.3515334.
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
In this presentation, we will discuss the behavior of an individual in an organization encompassing the history of human resources and organizational behavior, meaning and determinants of personality, self management learning and motivation, stress management, concept of attitude and conflict management.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
In this presentation you will be introduced to one of the most interesting subject in Business Administration. Organizational Behaviour. This relates to individuals/ group of people working together in teams; however this subject becomes more challenging when situational factors are incorporated which alter the dynamics of the way a team works and executes its plans. This is a good information tool to better understand professional behavior in an organization.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
This Slideshare is the sole Property of the Welingkar School of Distance Learning – Reproduction of this material , without prior consent, either wholly or partially will be treated as a violation of copyright.
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
Note There are more questions than usual, so you will n.docxhenrymartin15260
Note: There are more questions than usual, so you will need to figure out how to write less in answer to some of the questions and more for others. To be complete and specific enough to do well, you will need to plan and edit these carefully to fit into the two-page format.
Good luck.
1. Discuss the Nanchan Temple as a typical example of ancient Chinese architecture. What are the key characteristics of form, material and structure, how do they relate directly to the natural environment of ancient China, and how do these traits relate to the key cultural concerns and ways of thinking in ancient Chinese society? In other words, how is it typical of ancient Chinese architecture in general, and how can you use it as an example of some of the “big ideas” (for China) discussed in class?
2. Now consider the Ise Shrine in the same way? What is Japanese about it, and how does it exemplify several of the main ideas we discussed? How would you distinguish it from the Nanchan Temple? What’s different, but also what is similar, and why? Remember to consider the site (designed landscape) immediately around the central shrine buildings, as it has important implications for answering the question.
3. a) How did Confucian philosophy influence or parallel any aspect of ancient Chinese design? (Explain two examples of links between Confucianism and design we talked about.)
b) How did Daoism influence ancient Chinese design? Be specific – remember that Daoism has several, specific key ideas associated with it which you need to know in order to answer this question (give three examples).
4. a) How did specific Shinto beliefs and attitudes impact or relate to characteristics of Japanese design? Give several examples, citing specific works, or at least types, of design.
b) How did the story of the bamboo cutter most directly seem to parallel or relate to Shinto ideas or attitudes?
5. Look at the Chinese Silk Banner in the textbook, and consider the silk robes we examined in class. How does the banner express typically ancient Chinese ideas or attitudes? What main ideas does silk as used in ancient Chinese design seem to most directly relate to, and how? (Clues can be found in what we got from the Emperor-goes-to-the- Moon story.)
6. a) Consider the Japanese Album Leaf calligraphy shown in the textbook and in class; how is it typically Japanese in character, and how does Japanese calligraphy relate to Chinese calligraphy?
b) Comment on how the Enso – like the one you made in your discussion section – could express or embody any of our main ideas about Japanese design.
Note:
There
are
more
questions
than
usual,
so
you
will
need
to
figure
out
how
to
write
less
in
answer
to
some
of
the
questions
and
more
for
others.
To
be
complete
and
specific
enough
to
do
well,
you
will
need
to
plan
and
edit
these
carefully
to
fit
into
the
two-page
format.
Good
luck.
1.
Discuss
the
Nanchan
Temple
as
a
typical
example
of
ancient
Chinese
architecture.
What
a.
English for Academic Purposes Program (EAPP) is a two-semester program for native and non-native speakers of English that gives students additional time to focus on critical reading, reasoning, writing, and research skills.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
Lessons from the Astropy Code of ConductKelle Cruz
Talk given on Oct 15, 2019 at the Inclusive Astronomy 2 conference held in at STScI in Baltimore, MD. Video is here: https://cloudproject.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=5bf2ea68-b046-4c13-9a4a-aaea00dae5f8
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. DOI:10.5281/zenodo.3515334.
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
In this presentation, we will discuss the behavior of an individual in an organization encompassing the history of human resources and organizational behavior, meaning and determinants of personality, self management learning and motivation, stress management, concept of attitude and conflict management.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
In this presentation you will be introduced to one of the most interesting subject in Business Administration. Organizational Behaviour. This relates to individuals/ group of people working together in teams; however this subject becomes more challenging when situational factors are incorporated which alter the dynamics of the way a team works and executes its plans. This is a good information tool to better understand professional behavior in an organization.
To know more about Welingkar School’s Distance Learning Program and courses offered, visit:
http://www.welingkaronline.org/distance-learning/online-mba.html
This Slideshare is the sole Property of the Welingkar School of Distance Learning – Reproduction of this material , without prior consent, either wholly or partially will be treated as a violation of copyright.
For more classes visit
www.snaptutorial.com
Define personality from a psychological viewpoint. How is that different from a conversational comment that someone has a great personality?
Note There are more questions than usual, so you will n.docxhenrymartin15260
Note: There are more questions than usual, so you will need to figure out how to write less in answer to some of the questions and more for others. To be complete and specific enough to do well, you will need to plan and edit these carefully to fit into the two-page format.
Good luck.
1. Discuss the Nanchan Temple as a typical example of ancient Chinese architecture. What are the key characteristics of form, material and structure, how do they relate directly to the natural environment of ancient China, and how do these traits relate to the key cultural concerns and ways of thinking in ancient Chinese society? In other words, how is it typical of ancient Chinese architecture in general, and how can you use it as an example of some of the “big ideas” (for China) discussed in class?
2. Now consider the Ise Shrine in the same way? What is Japanese about it, and how does it exemplify several of the main ideas we discussed? How would you distinguish it from the Nanchan Temple? What’s different, but also what is similar, and why? Remember to consider the site (designed landscape) immediately around the central shrine buildings, as it has important implications for answering the question.
3. a) How did Confucian philosophy influence or parallel any aspect of ancient Chinese design? (Explain two examples of links between Confucianism and design we talked about.)
b) How did Daoism influence ancient Chinese design? Be specific – remember that Daoism has several, specific key ideas associated with it which you need to know in order to answer this question (give three examples).
4. a) How did specific Shinto beliefs and attitudes impact or relate to characteristics of Japanese design? Give several examples, citing specific works, or at least types, of design.
b) How did the story of the bamboo cutter most directly seem to parallel or relate to Shinto ideas or attitudes?
5. Look at the Chinese Silk Banner in the textbook, and consider the silk robes we examined in class. How does the banner express typically ancient Chinese ideas or attitudes? What main ideas does silk as used in ancient Chinese design seem to most directly relate to, and how? (Clues can be found in what we got from the Emperor-goes-to-the- Moon story.)
6. a) Consider the Japanese Album Leaf calligraphy shown in the textbook and in class; how is it typically Japanese in character, and how does Japanese calligraphy relate to Chinese calligraphy?
b) Comment on how the Enso – like the one you made in your discussion section – could express or embody any of our main ideas about Japanese design.
Note:
There
are
more
questions
than
usual,
so
you
will
need
to
figure
out
how
to
write
less
in
answer
to
some
of
the
questions
and
more
for
others.
To
be
complete
and
specific
enough
to
do
well,
you
will
need
to
plan
and
edit
these
carefully
to
fit
into
the
two-page
format.
Good
luck.
1.
Discuss
the
Nanchan
Temple
as
a
typical
example
of
ancient
Chinese
architecture.
What
a.
English for Academic Purposes Program (EAPP) is a two-semester program for native and non-native speakers of English that gives students additional time to focus on critical reading, reasoning, writing, and research skills.
Professional air quality monitoring systems provide immediate, on-site data for analysis, compliance, and decision-making.
Monitor common gases, weather parameters, particulates.
Phenomics assisted breeding in crop improvementIshaGoswami9
As the population is increasing and will reach about 9 billion upto 2050. Also due to climate change, it is difficult to meet the food requirement of such a large population. Facing the challenges presented by resource shortages, climate
change, and increasing global population, crop yield and quality need to be improved in a sustainable way over the coming decades. Genetic improvement by breeding is the best way to increase crop productivity. With the rapid progression of functional
genomics, an increasing number of crop genomes have been sequenced and dozens of genes influencing key agronomic traits have been identified. However, current genome sequence information has not been adequately exploited for understanding
the complex characteristics of multiple gene, owing to a lack of crop phenotypic data. Efficient, automatic, and accurate technologies and platforms that can capture phenotypic data that can
be linked to genomics information for crop improvement at all growth stages have become as important as genotyping. Thus,
high-throughput phenotyping has become the major bottleneck restricting crop breeding. Plant phenomics has been defined as the high-throughput, accurate acquisition and analysis of multi-dimensional phenotypes
during crop growing stages at the organism level, including the cell, tissue, organ, individual plant, plot, and field levels. With the rapid development of novel sensors, imaging technology,
and analysis methods, numerous infrastructure platforms have been developed for phenotyping.
BREEDING METHODS FOR DISEASE RESISTANCE.pptxRASHMI M G
Plant breeding for disease resistance is a strategy to reduce crop losses caused by disease. Plants have an innate immune system that allows them to recognize pathogens and provide resistance. However, breeding for long-lasting resistance often involves combining multiple resistance genes
DERIVATION OF MODIFIED BERNOULLI EQUATION WITH VISCOUS EFFECTS AND TERMINAL V...Wasswaderrick3
In this book, we use conservation of energy techniques on a fluid element to derive the Modified Bernoulli equation of flow with viscous or friction effects. We derive the general equation of flow/ velocity and then from this we derive the Pouiselle flow equation, the transition flow equation and the turbulent flow equation. In the situations where there are no viscous effects , the equation reduces to the Bernoulli equation. From experimental results, we are able to include other terms in the Bernoulli equation. We also look at cases where pressure gradients exist. We use the Modified Bernoulli equation to derive equations of flow rate for pipes of different cross sectional areas connected together. We also extend our techniques of energy conservation to a sphere falling in a viscous medium under the effect of gravity. We demonstrate Stokes equation of terminal velocity and turbulent flow equation. We look at a way of calculating the time taken for a body to fall in a viscous medium. We also look at the general equation of terminal velocity.
This presentation explores a brief idea about the structural and functional attributes of nucleotides, the structure and function of genetic materials along with the impact of UV rays and pH upon them.
Observation of Io’s Resurfacing via Plume Deposition Using Ground-based Adapt...Sérgio Sacani
Since volcanic activity was first discovered on Io from Voyager images in 1979, changes
on Io’s surface have been monitored from both spacecraft and ground-based telescopes.
Here, we present the highest spatial resolution images of Io ever obtained from a groundbased telescope. These images, acquired by the SHARK-VIS instrument on the Large
Binocular Telescope, show evidence of a major resurfacing event on Io’s trailing hemisphere. When compared to the most recent spacecraft images, the SHARK-VIS images
show that a plume deposit from a powerful eruption at Pillan Patera has covered part
of the long-lived Pele plume deposit. Although this type of resurfacing event may be common on Io, few have been detected due to the rarity of spacecraft visits and the previously low spatial resolution available from Earth-based telescopes. The SHARK-VIS instrument ushers in a new era of high resolution imaging of Io’s surface using adaptive
optics at visible wavelengths.
Remote Sensing and Computational, Evolutionary, Supercomputing, and Intellige...University of Maribor
Slides from talk:
Aleš Zamuda: Remote Sensing and Computational, Evolutionary, Supercomputing, and Intelligent Systems.
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Inter-Society Networking Panel GRSS/MTT-S/CIS Panel Session: Promoting Connection and Cooperation
https://www.etran.rs/2024/en/home-english/
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Deep Behavioral Phenotyping in Systems Neuroscience for Functional Atlasing a...Ana Luísa Pinho
Functional Magnetic Resonance Imaging (fMRI) provides means to characterize brain activations in response to behavior. However, cognitive neuroscience has been limited to group-level effects referring to the performance of specific tasks. To obtain the functional profile of elementary cognitive mechanisms, the combination of brain responses to many tasks is required. Yet, to date, both structural atlases and parcellation-based activations do not fully account for cognitive function and still present several limitations. Further, they do not adapt overall to individual characteristics. In this talk, I will give an account of deep-behavioral phenotyping strategies, namely data-driven methods in large task-fMRI datasets, to optimize functional brain-data collection and improve inference of effects-of-interest related to mental processes. Key to this approach is the employment of fast multi-functional paradigms rich on features that can be well parametrized and, consequently, facilitate the creation of psycho-physiological constructs to be modelled with imaging data. Particular emphasis will be given to music stimuli when studying high-order cognitive mechanisms, due to their ecological nature and quality to enable complex behavior compounded by discrete entities. I will also discuss how deep-behavioral phenotyping and individualized models applied to neuroimaging data can better account for the subject-specific organization of domain-general cognitive systems in the human brain. Finally, the accumulation of functional brain signatures brings the possibility to clarify relationships among tasks and create a univocal link between brain systems and mental functions through: (1) the development of ontologies proposing an organization of cognitive processes; and (2) brain-network taxonomies describing functional specialization. To this end, tools to improve commensurability in cognitive science are necessary, such as public repositories, ontology-based platforms and automated meta-analysis tools. I will thus discuss some brain-atlasing resources currently under development, and their applicability in cognitive as well as clinical neuroscience.
2. I. Introduction to
Semantic Memory
A. What is semantic memory?
1. Permanent memory store of our world
knowledge
2. Different from episodic memory – no
representation of when or where we learned
the information
3. Examples
• What is the capitol of Colorado?
• How many legs does a horse have?
• What color is a canary?
3. I. Introduction to
Semantic Memory
B. Key questions:
1. How is information stored?
2. What is the nature of the
representation?
3. How is information learned?
4. How is information retrieved?
4. I. Introduction to
Semantic Memory
C. New terminology
1. Concepts
• Mental representations
• Often “the fundamental unit of thought”
• “An idea that includes all that is characteristically
associated with it” (Medin, 1989)
2. Proposition
• The relationship between concepts
• E.G.
– A canary is yellow
– A canary is a bird
– A bird has wings
– A bird is an animal
5. II. The Collins & Quillian
Hierarchical Model
A. Key Properties
1. Network: An interrelated set of concepts
/ body of knowledge.
2. Node: A point or location in the network
representing a single concept.
3. Pathways: associations between
concepts (propositions) that are
directional.
6. II. The Collins & Quillian
Model
A. Key Properties
3. Pathways: associations between
concepts (propositions) that are
directional.
• “ISA” pathways denote category
membership – “Canary is a bird”
• Property pathways describe properties of
concepts “Bird has feathers”
8. II. The Collins & Quillian
Model
B. Spreading Activation
1. The mental activity of accessing and retrieving
information from the network.
2. Takes passive concepts (those not currently in
working memory) and activates them (puts
them in working memory).
3. Activation then spreads to related nodes (e.g.,
activation to the doctor node would also
spread to the nurse node).
9. II. The Collins & Quillian
Model
C. Key Features of the Model
1. Hierarchical – concepts are arranged in
a hierarchy
2. This allows for cognitive economy –
removes any redundancy
3. Takes time for activation to spread
across inactive nodes
4. Activation spreads quickly across
recently activated nodes
11. III. Smith’s Feature
Comparison Model
A. General Structure
1. Information about concepts are
represented as feature lists
2. These lists include both defining
features and characteristic features
• Defining features are essential to the
meaning of a concept
• Characteristic features are common, but not
essential to the meaning of a concept
12. III. Smith’s Feature
Comparison Model
2. These lists include
both defining
features and
characteristic
features
• Defining features are
essential to the
meaning of a concept
• Characteristic features
are common, but not
essential to the
meaning of a concept
Robin
Physical object
Living
Animate
Feathered
Red breasted
13. III. Smith’s Feature
Comparison Model
2. These lists include
both defining
features and
characteristic
features
• Defining features are
essential to the
meaning of a concept
• Characteristic features
are common, but not
essential to the
meaning of a concept
Robin
Eats worms
Roosts in trees
14. III. Smith’s Feature
Comparison Model
2. These lists include
both defining
features and
characteristic
features
• Defining features are
essential to the
meaning of a concept
• Characteristic features
are common, but not
essential to the
meaning of a concept
Leos
Born between July 23
and August 22
15. III. Smith’s Feature
Comparison Model
2. These lists include
both defining
features and
characteristic
features
• Defining features are
essential to the
meaning of a concept
• Characteristic features
are common, but not
essential to the
meaning of a concept
Leos
Loyal
Self-assured
Charming
Generous
Opinionated
Overbearing
Proud
16. III. Smith’s Feature
Comparison Model
A. General Structure
1. Information about concepts are
represented as feature lists
2. These lists include both defining
features and characteristic features
3. Features are stored starting with most
defining followed by most characteristic
18. III. Smith’s Feature
Comparison Model
B. Feature Comparison
1. Models are often tested using sentence
verification tasks – e.g. a ROBIN is a
BIRD
2. The model begins with Stage 1 – global
feature comparison
• ‘Fast yes’ responses occur when there is a
large number of shared features
• ‘Fast no’ responses occur when there are
few shared features
20. III. Smith’s Feature
Comparison Model
B. Feature Comparison
2. The model begins with Stage 1 – global
feature comparison
• ‘Fast yes’ responses occur when there is a
large number of shared features
• ‘Fast no’ responses occur when there are
few shared features
• Intermediate comparisons (some shared,
some not shared) move to a Stage 2
Comparison of Defining Features
22. III. Smith’s Feature
Comparison Model
B. Feature Comparison
2. The model begins with Stage 1 – global
feature comparison
• Intermediate comparisons (some shared,
some not shared) move to a Stage 2
Comparison of Defining Features
• When the defining features match, a ‘slow
yes’ response is given
• When there is a feature mismatch, a ‘slow
no’ response is given
24. IV. Direct Comparisons of
Models – Central Themes
A. The Principle of Cognitive Economy
1. A primary assumption of the
Hierarchical Model is cognitive economy
– only non-redundant facts are stored
2. The members of a category inherit the
properties of the category itself – the
principle of inheritance
25. IV. Direct Comparisons of
Models – Central Themes
B. Property Statements
1. Problem with the
Feature Comparison
model, it is unable to
account for property
statements
2. Can handle “Robin
has wings” but…
3. The model assumed a
feature list that
corresponded to the
properties – i.e.
“THINGS WITH
WINGS”
4. Hierarchical models
handle the same as
any other statement
26. IV. Direct Comparisons of
Models – Central Themes
C. Typicality Effects
1. Typicality refers to the degree to which items
are viewed as typical, central members of a
category
2. Battig & Montague (1969) category
membership norms
3. Less frequent category members have lower
feature overlap than common members
• Robin is a bird – common
• Chicken is a bird – uncommon
27. IV. Direct Comparisons of
Models – Central Themes
C. Typicality Effects
3. Less frequent category members have
lower feature overlap than common
members
• Robin is a bird – common
• Chicken is a bird – uncommon
4. Typical members can be judged more
rapidly than atypical members
28. IV. Direct Comparisons of
Models – Central Themes
C. Typicality Effects
3. Less frequent
category members
have lower feature
overlap than common
members
• Robin is a bird –
common
• Chicken is a bird –
uncommon
4. Typical members can
be judged more
rapidly than atypical
members
29. IV. Direct Comparisons of
Models – Central Themes
C. Typicality Effects
4. Typical members can be judged more
rapidly than atypical members –
typicality effect
30. IV. Direct Comparisons of
Models – Central Themes
D. Semantic Relatedness
1. A direct prediction of feature
comparison relates to how similar
concepts are
2. Rips (1975) – demonstration
31. IV. Direct Comparisons of
Models – Central Themes
D. Semantic Relatedness
1. A direct prediction of feature
comparison relates to how similar
concepts are
2. Multi-dimensional Scaling Solutions
32. IV. Direct Comparisons of
Models – Central Themes
D. Semantic
Relatedness
1. A direct prediction of
feature comparison
relates to how similar
concepts are
2. Multi-dimensional
Scaling Solutions
33. IV. Direct Comparisons of
Models – Central Themes
D. Semantic Relatedness
1. A direct prediction of feature
comparison relates to how similar
concepts are
2. Multi-dimensional Scaling Solutions
3. Modern semantic network models
34. IV. Direct Comparisons of
Models – Central Themes
D. Semantic
Relatedness
4. Modern semantic
network models
• Redundant
information
• Distance
represents how
similar concepts
are
Learning and Motivation,
36. I. Types of Categories
A. Natural Categories
1. Occur naturally in
the world
2. Essentially define
themselves
3. Naturally occurring
concepts are labeled
after discovery
37. I. Types of Categories
A. Natural Categories
1. Occur naturally in
the world
2. Essentially define
themselves
3. Naturally occurring
concepts are labeled
after discovery
38. I. Types of Categories
B. Artifact Categories
1. Objects or
conventions
designed by humans
to serve particular
functions
2. Category
membership is
primarily determined
by function /
intended use
39. I. Types of Categories
B. Artifact Categories
1. Objects or conventions
designed by humans to
serve particular functions
2. Category membership is
primarily determined by
function / intended use
3. Should herding dogs be
an artifact category?
40. I. Types of Categories
C. Nominal Categories
1. Linguistic conventions that involve the
arbitrary assignment of a label to things that
fit a particular set of conditions
2. Often defined as a matter of convenience
41. I. Types of Categories
D. Ad Hoc Categories
1. Formed for a
purpose
2. Can be influenced by
context
42. I. Types of Categories
D. Ad Hoc Categories
1. Formed for a
purpose
2. Can be influenced by
context
43. I. Types of Categories
D. Ad Hoc Categories
1. Formed for a
purpose
2. Can be influenced by
context
feet
dust
bird
atom
hands
animal
cell
children
44. I. Types of Categories
D. Ad Hoc Categories
1. Formed for a
purpose
2. Can be influenced by
context
3. “Small things”
4. Other examples:
Things you take on
vacation
feet
dust
bird
atom
hands
animal
cell
children
45. I. Types of Categories
F. Levels of Categorization
1. Categories are both horizontally and
vertically organized
• Animals – plants
• Animals
– Birds
Raptors
46. I. Types of Categories
F. Levels of Categorization
1. Categories are both horizontally and
vertically organized
2. Categories are also hierarchical with super
ordinate and subordinate categories
48. II. Approaches to Concept
Representation
A. Classic approaches
B. Prototype theories
C. Exemplar theories
49. II. Approaches to Concept
Representation
A. Classic approaches
1. Similar to Feature theories
2. Classification is based on certain features or
characteristics
3. Features are both necessary and sufficient
for categorization
4. Problem – not everything can be categorized
this way: Games
• Typicality effects
• Fuzzy boundaries
50. II. Approaches to Concept
Representation
B. Prototype theories
1. As we learn, we “abstract out” a prototype
2. A prototype is the most typical, or
representative idea of a category
51. II. Approaches to Concept
Representation
C. Exemplar theories
1. Category membership is conducted by
comparison to stored examples (exemplars)
2. More typical members will be similar to
many exemplars
3. Categorization is entirely based on
comparison to stored examples
52. III. Applications of
Concepts and Categories
A. Stereotyping
1. We automatically categorize people based on
visual features (sex, age, race, weight)
2. Social-category level beliefs have the power to
shape impressions of individuals
3. Some are automatic, others are based on
either acquired information or assumptions
about category membership (e.g. either
someone discloses they are gay or assumed to
be gay).
53. III. Applications of
Concepts and Categories
B. Perceptions of minorities
1. Ethnic minorities
2. Sexual minorities
• Merritt et al (2013) gay actors perceived as
less masculine
3. Knowledge may influence our behavior
in these cases
54. III. Applications of
Concepts and Categories
C. Stereotype threat
1. Stereotype threat is the self threat
experienced by members of a negatively
stereotyped groups that they will be
judged or behave in ways that confirm
the stereotype
2. Often this precipitates the undesired
behavior
3. Our knowledge of our own group
membership can influence our behavior
55. III. Applications of
Concepts and Categories
D. How might categories affect
behavior?
1. Social categories may be formed via
prototypes or exemplars
2. Examples
• Gender
• Masculinity and femininity
• Sexual orientation
• Occupations
56. IV. Other ways our
knowledge influences
behavior
A. Schemas and scripts
1. Guide our actions
2. Can they lead us into trouble
• Sexual schemas
• Sexual scripts
B. Selective perception & Selective
memory