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Meghan Fraley, PhD
Skyline College
Psychology 100
Cogni&on	
  refers	
  to	
  mental	
  ac)vi)es	
  
and	
  processes	
  associated	
  with	
  
thinking,	
  knowing,	
  remembering,	
  and	
  
communica)ng	
  informa)on.	
  	
  
§  Cogni,on	
  can	
  include	
  reasoning,	
  judgment,	
  and	
  
assembling	
  new	
  informa,on	
  into	
  knowledge.	
  
§  Cogni,on	
  also	
  supports	
  these	
  other	
  psychological	
  
processes:	
  a=en,on,	
  emo,on,	
  consciousness,	
  
percep,on,	
  learning,	
  memory,	
  language,	
  mental	
  
health,	
  and	
  social	
  interac,on.	
  	
  
Thinking involves not only retrieving
information but also doing something with it
Deciding something
Solving a problem
Judging something
Creating something
Finding something
Concepts Mental representations
Contents
of
Concepts:
Categories (dogs, books, etc.,)
Attributes (red, tall, painful)
Abstractions or non-tangible ideas (love, hate)
Procedures or processes (how to do ____)
Goals or intentions (future plans)
ž How is knowledge transformed and
manipulated into thinking?
Mental Representations
Judgment
Reasoning
https://www.youtube.com/watch?v=R-
sVnmmw6WY&list=PLLtpkqxmLd1a8RQpozpvwrQUf4ENhMjl7&index=2
A concept	
  
is	
  a	
  mental	
  grouping	
  
of	
  similar	
  objects,	
  
events,	
  states,	
  ideas,	
  
and/or	
  people,	
  etc.	
  
A	
  concept	
  can	
  
be	
  represented	
  
and	
  
communicated	
  
by	
  an	
  image,	
  or	
  
by	
  a	
  word	
  such	
  
as	
  “chair,”
“party,”	
  or	
  
“democracy.
”	
  
A prototype	
  is	
  the	
  best	
  
example	
  of	
  a	
  
category.	
  
Analogical: share
some of the actual
characteristics
Symbolic: stands
for some content
without sharing
any characteristics
ž Mental representations that resemble the
objects they represent by directly
reflecting the perceptual qualities of the
thing being represented
ž  Expressed in the mind
as network structures
ž  Nodes represent
individual symbols
ž  Separate nodes are
connected via
associative links
ž  proposition, activates
the collection of nodes
that represent the
proposition and
activation spreads.
https://www.youtube.com/watch?v=ig-SVifJUKw
Drawing conclusions from
experience
Mental representations are used to process
and draw conclusions from evidence
We rely on shortcuts (heuristics) to be
efficient
These shortcuts are helpful and frequently
work, but can also lead to errors
Automatic:
Thinking that occurs as a matter of
habit;
Thinking that typically requires
little effort;
Thinking that is impacted by
existing biases;
Frequently leads to less than
optimal outcomes
Controlled:
Thinking that is goal directed
Thinking that requires intentional
effort
Thinking based on analysis of
existing biases
Frequently leads to more optimal
outcomes (better choices and
decisions)
Example:	
  thinking	
  that	
  winning	
  at	
  
a	
  slot	
  machine	
  is	
  likely	
  because	
  
we	
  vividly	
  recall	
  the	
  ,mes	
  we’ve	
  
won	
  before	
  (thanks	
  to	
  bells,	
  
lights,	
  and	
  flowing	
  coins)	
  	
  
We	
  use	
  the	
  availability	
  
heuris&c	
  when	
  we	
  es)mate	
  
the	
  likelihood	
  of	
  an	
  event	
  
based	
  on	
  how	
  much	
  it	
  
stands	
  out	
  in	
  our	
  mind,	
  that	
  
is,	
  how	
  much	
  it’s	
  available	
  
as	
  a	
  mental	
  reference.	
  
ž Purpose: Assessing
Categories
•  rule of thumb for judging
the likelihood of things in
terms of how well they
seem to represent, or
match, particular
prototypes
ž BUT, some categories are
heterogenous
•  may lead one to ignore
other relevant
information
Examples:	
  	
  
§ thinking	
  you	
  can	
  put	
  
off	
  work	
  and	
  s,ll	
  get	
  
it	
  done	
  well	
  	
  
§ thinking	
  you	
  have	
  
test	
  material	
  
mastered	
  when	
  you	
  
scan	
  it	
  and	
  it	
  feels	
  
familiar.	
  
Overconfidence	
  in	
  
judgments	
  refers	
  to	
  our	
  
tendency	
  to	
  be	
  more	
  
confident	
  than	
  correct.	
  
	
  
We	
  overes,mate	
  the	
  
accuracy	
  of	
  our	
  
es,mates,	
  predic,ons,	
  
and	
  knowledge.	
  
	
  
https://www.youtube.com/watch?v=3bxLx-FRooY
ž The process of figuring
out the implications of
particular beliefs
We tend to search for information that is in agreement
with our biases rather than seeking to disconfirm or
disprove our biases
we tend to
overestimate our
ability to have
predicted events
based on knowledge
we had beforehand;
limits our ability to
learn from our errors
because we convince
ourselves that we
“knew it all the time”
ž  We tend to base estimates on an initial experience; we
anchor our judgments on an initial piece of information
rather than consider all information
https://www.youtube.com/watch?v=9xSe604627c
https://www.youtube.com/watch?v=9xSe604627c
ž Choosing among
options
ž Belief Bias
•  the tendency for one’s preexisting beliefs to
distort logical reasoning
•  sometimes by making invalid conclusions seem
valid, or valid conclusions seem invalid
ž Belief Perseverance
•  clinging to one’s initial conceptions after the
basis on which they were formed has been
discredited
ž Affective Forecasting:
•  Affective forecasting (also known as hedonic
forecasting) is the prediction of one's affect
(emotional state) in the future.We aren’t really
that good at it
ž Too Many Options
•  All options seem less attractive, and less likely to
decide or be happy with their choice
ž Reason-Based Choice
•  People make choices based on whether things
are framed in terms of loss or gain
ž the way an issue is posed
ž how an issue is framed can
significantly affect decisions
and judgments
ž Example: What is the best way
to market ground beef- As
25% fat or 75% lean?
Problem	
  solving	
  refers	
  to	
  the	
  thinking	
  
we	
  do	
  in	
  order	
  to	
  answer	
  a	
  complex	
  
ques,on	
  or	
  to	
  figure	
  out	
  how	
  to	
  resolve	
  
an	
  unfavorable	
  situa,on.	
  
Trial	
  and	
  error	
  involves	
  trying	
  various	
  possible	
  
solu,ons,	
  and	
  if	
  that	
  fails,	
  trying	
  others.	
  
ž When	
  it’s	
  useful:	
  perfec,ng	
  an	
  inven,on	
  like	
  the	
  
light	
  bulb	
  by	
  trying	
  a	
  thousand	
  filaments	
  
ž When	
  it	
  fails:	
  when	
  there	
  is	
  a	
  clear	
  solu,on	
  but	
  trial	
  
and	
  error	
  might	
  miss	
  it	
  forever	
  
Strategies	
  
for	
  
arriving	
  at	
  
solu,ons	
  
include:	
  
trial	
  and	
  
error	
  
algorithms	
  
heuris,cs	
  
insight	
  
An	
  algorithm	
  is	
  a	
  step	
  by	
  step	
  strategy	
  for	
  solving	
  a	
  
problem,	
  methodically	
  leading	
  to	
  a	
  specific	
  solu,on.	
  	
  
A	
  heuris,c	
  is	
  a	
  short-­‐cut,	
  step-­‐saving	
  thinking	
  strategy	
  
or	
  principle	
  which	
  generates	
  a	
  solu,on	
  quickly	
  (but	
  
possibly	
  in	
  error).	
  
Insight	
  refers	
  to	
  a	
  sudden	
  realiza,on,	
  a	
  leap	
  forward	
  
in	
  thinking,	
  that	
  leads	
  to	
  a	
  solu,on.	
  
Wander	
  around	
  a	
  supermarket	
  
randomly	
  to	
  find	
  it.	
  
To	
  find	
  a	
  
specific	
  item	
  in	
  
a	
  supermarket	
  
Trial	
  and	
  
error	
  
Algorithms	
  
Heuris,cs	
  
Create	
  a	
  
methodical	
  path	
  to	
  
make	
  sure	
  you	
  
check	
  every	
  single	
  
aisle.	
  
Check	
  only	
  related	
  
aisles.	
  
	
  Where’s	
  the	
  apple	
  
juice?	
  Do	
  I	
  look	
  on	
  every	
  
shelf	
  in	
  the	
  store,	
  or	
  do	
  I	
  
search	
  where	
  there	
  is	
  
similar	
  stuff?	
  
Automaticity /ˌɔːtəməˈtɪsɨti/ is the
ability to do things without
occupying the mind with the low-
level details required, allowing it
to become an automatic response
pattern or habit. It is usually the
result of learning, repetition, and
practice.
https://www.youtube.com/watch?v=VdrV01s3-2M
ž Using these
materials, how
would you
mount the
candle on a
bulletin board?
ž How would you
arrange six
matches to form
four equilateral
triangles?
There	
  are	
  certain	
  tendencies	
  in	
  human	
  cogni,on	
  which	
  make	
  it	
  more	
  difficult	
  to	
  find	
  correct	
  solu,ons	
  to	
  problems.	
  
Fixa&on/	
  
mental	
  set	
  
Confirma&on	
  
bias	
  
Heuris&cs	
  
(which	
  help	
  solve	
  problems	
  
quickly	
  but	
  can	
  lead	
  to	
  
mistaken	
  conclusions)	
  
Common Obstacles:
Mental set
Functional fixedness
Incorrect or incomplete
representation of the problem
Lack of domain knowledge
Self-handicapping
Obstacles
Mental	
  set	
  	
  
The	
  tendency	
  to	
  
approach	
  problems	
  using	
  
a	
  mindset	
  (procedures	
  
and	
  methods)	
  that	
  has	
  
worked	
  previously.	
  
Fixa&on	
  	
  
The	
  tendency	
  to	
  get	
  
stuck	
  in	
  one	
  way	
  of	
  
thinking;	
  an	
  inability	
  
to	
  see	
  a	
  problem	
  from	
  
a	
  new	
  perspec,ve.	
  
Other	
  Problem-­‐Solving	
  Habits	
  
ž Tendency to approach a problem in a
particular way
•  Especially a way that has been
successful in the past but may or may
not be helpful in solving a new problem
Perceptual Set—perceiving the problem from only
one perspective
Response Set—accessing only one solution response
(“it’s the way we’ve always done it”)
ž Thinking about
something only in
terms of its
functionality, rather
than new ways in
which it could be used
ž  Self-imposed limitations OR Self-Handicapping:
•  Creating limits to protect one’s status or prevent one
from failing
•  May be “unconscious” to the individual (may be based
on perceived social status—sex, race)
ž Solving this
problem
requires
recognizing
that a box need
not always
serve as a
container
ž  Solution #1:We move the
left two matchsticks, to
make a Roman numeral VI.
ž  Solution #2:The solution to
this is to make twelve in
Roman numerals, as
shown.The top half is VII,
or seven. Just remove the
bottom half.
ž  Solution #3:We spell out
NINE, as shown.
"When most of us look at the field of nine
dots, we imagine a boundary
around the edge of the dot array. In doing
so, we limit ourselves to trying
solutions to the puzzle that only link the
dots inside the imaginary border.
The result is futility.We can only solve the
puzzle if we realize that there is
no border."
ž  Procedure:
•  Give participants one problem to read, with a solution
•  Then give them a second problem, which can be solved using
a similar solution
ž  3 groups of participants
•  Control group that only tried to solve the radiation problem
•  A group previously given the analogous General/Fortress
problem & solution
•  A group given the General/Fortress problem and told that its
solution would help in solving the radiation problem
Obstacles
Gick & Holyoak (1980)
0
10
20
30
40
50
60
70
80
90
100
Control Analogy Analogy & Hint
Obstacles
Gick & Holyoak (1980) Results
ž Similarity
ž Number of examples exposed to
•  Gick and Holyoak conducted a study in which the
dictator story was just one of three other stories
participants heard before radiation problem
•  Only 20% got the problem correct
ž Whether schema for problem is activated
•  If the two problems are separated by a delay or if they
are presented in different contexts, almost none of the
participants use the analogy
Obstacles
Abstract Thinking Separates Experts from Novices
Experts have more abstract representations
Experts know more solutions
Not a general ability
Have an extensive knowledge that they use to organize, represent,
and interpret information in their environment
This affects their abilities to remember, reason, and solve problems
ž Participants were chess masters and
beginning chess players
ž Studied a chess board that had the pieces
randomly displayed or a chess board with
pieces in the middle of a game.
ž Beginners and experts had to recall as
many pieces as they could
Expertise
Experts
vs.
Beginners
Under what
condition
did the
experts
remember
more?
Expertise
ž Master chess players and beginning players
recalled a similar number of pieces from the
random board
ž Master chess players remember
significantly more chess pieces from the
game board in play than did the beginning
chess players
Expertise
ž Better schemas
ž Well organized knowledge
in specific domain
ž Less time to set up
problem
ž Select more appropriate
strategies
ž Faster at solving problems
ž Are more accurate
Expertise
ž Need	
  new	
  theories	
  in	
  all	
  domains	
  
ž Is	
  it	
  possible	
  to	
  lead	
  people	
  to	
  beFer	
  
thinking?	
  
ž Humans	
  are	
  capable	
  of	
  excellent	
  quality	
  
thinking;	
  thoughts?	
  
Those who make good decisions and solve problems
with higher levels of success share characteristics of
critical thinking
•  Thinking is goal directed
•  Thinking is based on logic and reliable information
•  One’s own assumptions and biases are questioned
first
•  Other’s assumptions and assertions are questioned
•  Assertions are supported with valid and reliable
supporting data
•  Alternative and oppositional views are considered
fairly
•  Contradictory data or evidence are considered and
refuted fairly
How	
  to	
  use	
  it	
  
well	
  
When	
  it’s	
  
effec&ve	
  How	
  it	
  may	
  
have	
  been	
  
adap&ve	
  §  We	
  have	
  seen	
  that	
  
in	
  complex	
  
situa,ons,	
  it	
  helps	
  
to	
  use	
  careful	
  
reasoning	
  to	
  avoid	
  
mistakes	
  made	
  by	
  
intui,ve	
  judgments.	
  
§  However,	
  research	
  
supports	
  the	
  idea	
  
that	
  some,mes	
  we	
  
need	
  to	
  let	
  our	
  
unconscious	
  mind	
  
do	
  some	
  work.	
  	
  
§  Incuba&on	
  refers	
  to	
  
the	
  power	
  of	
  taking	
  
a	
  break	
  from	
  careful	
  
thinking,	
  even	
  to	
  
“sleep	
  on	
  it,”	
  to	
  
allow	
  	
  leaps	
  in	
  
cogni,on.	
  
§  Judging	
  quickly	
  
what	
  to	
  eat	
  and	
  
what	
  might	
  kill	
  us	
  
might	
  have	
  helped	
  
our	
  ancestors	
  
survive	
  long	
  
enough	
  to	
  
reproduce.	
  
§  The	
  ,mes	
  that	
  our	
  
intui,on	
  was	
  
incorrect	
  may	
  not	
  
have	
  been	
  fatal;	
  if	
  
humans	
  	
  avoided	
  
all	
  red	
  plants	
  
instead	
  of	
  
poisonous	
  berries,	
  
they	
  might	
  have	
  
been	
  hungry,	
  but	
  
s,ll	
  alive.	
  
§  Intui,on	
  is	
  effec,ve	
  
when	
  it	
  is	
  a	
  product	
  
of	
  exper&se	
  built	
  up	
  
from	
  trial	
  and	
  error;	
  
this	
  hones	
  one’s	
  
judgment	
  to	
  the	
  
point	
  of	
  being	
  more	
  
accurate	
  than	
  logical	
  
analysis.	
  
§  Examples:	
  knowing	
  
the	
  sex	
  of	
  a	
  chick,	
  
making	
  a	
  diagnosis,	
  
speed	
  chess,	
  
quarterback	
  
decisions	
  
§  The	
  mind’s	
  ability	
  
to	
  judge	
  a	
  situa,on	
  
from	
  experience	
  is	
  
more	
  efficient	
  than	
  
any	
  step-­‐by-­‐step	
  
analysis.	
  	
  
Insight	
  and	
  the	
  Brain	
  
In	
  one	
  study,	
  par,cipants	
  monitored	
  by	
  
fMRI	
  and	
  EEG	
  were	
  asked,	
  “which	
  word	
  will	
  
form	
  a	
  compound	
  word	
  with	
  the	
  words	
  
pine,	
  crab,	
  and	
  sauce?”	
  
What	
  the	
  brains	
  did	
  along	
  with	
  the	
  “aha!”	
  
of	
  geYng	
  the	
  answer:	
  
Insight	
  refers	
  to	
  a	
  
sudden	
  realiza,on,	
  
a	
  leap	
  forward	
  in	
  
thinking,	
  that	
  leads	
  
to	
  a	
  solu,on.	
  
§ We	
  say	
  “aha”	
  and	
  
feel	
  a	
  sense	
  of	
  
sa,sfac,on	
  when	
  an	
  
answer	
  seems	
  to	
  
pop	
  into	
  our	
  minds.	
  
§ We	
  also	
  may	
  laugh;	
  
joke	
  punchlines	
  rely	
  
on	
  sudden	
  insight.	
  
1.  extra	
  frontal	
  lobe	
  
ac,vity	
  
2.  experiencing	
  the	
  
“aha!”	
  moment	
  
and	
  sta,ng	
  the	
  
answer	
  
3.  a	
  burst	
  of	
  ac,vity	
  in	
  
right	
  temporal	
  lobe	
  
ž  Process of creating something that is
original and worthwhile
ž  Multiple views which emphasize
•  The product
•  The personpersonality creating the product
•  The creative process; the steps that the creative
person followed to create the product
•  The creative environment
•  A synthesis of all of the above
Thinking
Thinking

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Thinking

  • 1. Meghan Fraley, PhD Skyline College Psychology 100
  • 2. Cogni&on  refers  to  mental  ac)vi)es   and  processes  associated  with   thinking,  knowing,  remembering,  and   communica)ng  informa)on.     §  Cogni,on  can  include  reasoning,  judgment,  and   assembling  new  informa,on  into  knowledge.   §  Cogni,on  also  supports  these  other  psychological   processes:  a=en,on,  emo,on,  consciousness,   percep,on,  learning,  memory,  language,  mental   health,  and  social  interac,on.    
  • 3. Thinking involves not only retrieving information but also doing something with it Deciding something Solving a problem Judging something Creating something Finding something
  • 4. Concepts Mental representations Contents of Concepts: Categories (dogs, books, etc.,) Attributes (red, tall, painful) Abstractions or non-tangible ideas (love, hate) Procedures or processes (how to do ____) Goals or intentions (future plans)
  • 5. ž How is knowledge transformed and manipulated into thinking? Mental Representations Judgment Reasoning
  • 7. A concept   is  a  mental  grouping   of  similar  objects,   events,  states,  ideas,   and/or  people,  etc.   A  concept  can   be  represented   and   communicated   by  an  image,  or   by  a  word  such   as  “chair,” “party,”  or   “democracy. ”  
  • 8. A prototype  is  the  best   example  of  a   category.  
  • 9. Analogical: share some of the actual characteristics Symbolic: stands for some content without sharing any characteristics
  • 10. ž Mental representations that resemble the objects they represent by directly reflecting the perceptual qualities of the thing being represented
  • 11. ž  Expressed in the mind as network structures ž  Nodes represent individual symbols ž  Separate nodes are connected via associative links ž  proposition, activates the collection of nodes that represent the proposition and activation spreads.
  • 13. Drawing conclusions from experience Mental representations are used to process and draw conclusions from evidence We rely on shortcuts (heuristics) to be efficient These shortcuts are helpful and frequently work, but can also lead to errors
  • 14. Automatic: Thinking that occurs as a matter of habit; Thinking that typically requires little effort; Thinking that is impacted by existing biases; Frequently leads to less than optimal outcomes Controlled: Thinking that is goal directed Thinking that requires intentional effort Thinking based on analysis of existing biases Frequently leads to more optimal outcomes (better choices and decisions)
  • 15.
  • 16.
  • 17. Example:  thinking  that  winning  at   a  slot  machine  is  likely  because   we  vividly  recall  the  ,mes  we’ve   won  before  (thanks  to  bells,   lights,  and  flowing  coins)     We  use  the  availability   heuris&c  when  we  es)mate   the  likelihood  of  an  event   based  on  how  much  it   stands  out  in  our  mind,  that   is,  how  much  it’s  available   as  a  mental  reference.  
  • 18.
  • 19. ž Purpose: Assessing Categories •  rule of thumb for judging the likelihood of things in terms of how well they seem to represent, or match, particular prototypes ž BUT, some categories are heterogenous •  may lead one to ignore other relevant information
  • 20. Examples:     § thinking  you  can  put   off  work  and  s,ll  get   it  done  well     § thinking  you  have   test  material   mastered  when  you   scan  it  and  it  feels   familiar.   Overconfidence  in   judgments  refers  to  our   tendency  to  be  more   confident  than  correct.     We  overes,mate  the   accuracy  of  our   es,mates,  predic,ons,   and  knowledge.    
  • 22. ž The process of figuring out the implications of particular beliefs
  • 23. We tend to search for information that is in agreement with our biases rather than seeking to disconfirm or disprove our biases
  • 24. we tend to overestimate our ability to have predicted events based on knowledge we had beforehand; limits our ability to learn from our errors because we convince ourselves that we “knew it all the time”
  • 25. ž  We tend to base estimates on an initial experience; we anchor our judgments on an initial piece of information rather than consider all information https://www.youtube.com/watch?v=9xSe604627c
  • 28.
  • 29. ž Belief Bias •  the tendency for one’s preexisting beliefs to distort logical reasoning •  sometimes by making invalid conclusions seem valid, or valid conclusions seem invalid ž Belief Perseverance •  clinging to one’s initial conceptions after the basis on which they were formed has been discredited
  • 30. ž Affective Forecasting: •  Affective forecasting (also known as hedonic forecasting) is the prediction of one's affect (emotional state) in the future.We aren’t really that good at it ž Too Many Options •  All options seem less attractive, and less likely to decide or be happy with their choice ž Reason-Based Choice •  People make choices based on whether things are framed in terms of loss or gain
  • 31. ž the way an issue is posed ž how an issue is framed can significantly affect decisions and judgments ž Example: What is the best way to market ground beef- As 25% fat or 75% lean?
  • 32. Problem  solving  refers  to  the  thinking   we  do  in  order  to  answer  a  complex   ques,on  or  to  figure  out  how  to  resolve   an  unfavorable  situa,on.  
  • 33. Trial  and  error  involves  trying  various  possible   solu,ons,  and  if  that  fails,  trying  others.   ž When  it’s  useful:  perfec,ng  an  inven,on  like  the   light  bulb  by  trying  a  thousand  filaments   ž When  it  fails:  when  there  is  a  clear  solu,on  but  trial   and  error  might  miss  it  forever   Strategies   for   arriving  at   solu,ons   include:   trial  and   error   algorithms   heuris,cs   insight   An  algorithm  is  a  step  by  step  strategy  for  solving  a   problem,  methodically  leading  to  a  specific  solu,on.     A  heuris,c  is  a  short-­‐cut,  step-­‐saving  thinking  strategy   or  principle  which  generates  a  solu,on  quickly  (but   possibly  in  error).   Insight  refers  to  a  sudden  realiza,on,  a  leap  forward   in  thinking,  that  leads  to  a  solu,on.  
  • 34. Wander  around  a  supermarket   randomly  to  find  it.   To  find  a   specific  item  in   a  supermarket   Trial  and   error   Algorithms   Heuris,cs   Create  a   methodical  path  to   make  sure  you   check  every  single   aisle.   Check  only  related   aisles.    Where’s  the  apple   juice?  Do  I  look  on  every   shelf  in  the  store,  or  do  I   search  where  there  is   similar  stuff?  
  • 35. Automaticity /ˌɔːtəməˈtɪsɨti/ is the ability to do things without occupying the mind with the low- level details required, allowing it to become an automatic response pattern or habit. It is usually the result of learning, repetition, and practice.
  • 37. ž Using these materials, how would you mount the candle on a bulletin board?
  • 38. ž How would you arrange six matches to form four equilateral triangles?
  • 39. There  are  certain  tendencies  in  human  cogni,on  which  make  it  more  difficult  to  find  correct  solu,ons  to  problems.   Fixa&on/   mental  set   Confirma&on   bias   Heuris&cs   (which  help  solve  problems   quickly  but  can  lead  to   mistaken  conclusions)  
  • 40. Common Obstacles: Mental set Functional fixedness Incorrect or incomplete representation of the problem Lack of domain knowledge Self-handicapping Obstacles
  • 41. Mental  set     The  tendency  to   approach  problems  using   a  mindset  (procedures   and  methods)  that  has   worked  previously.   Fixa&on     The  tendency  to  get   stuck  in  one  way  of   thinking;  an  inability   to  see  a  problem  from   a  new  perspec,ve.   Other  Problem-­‐Solving  Habits  
  • 42. ž Tendency to approach a problem in a particular way •  Especially a way that has been successful in the past but may or may not be helpful in solving a new problem Perceptual Set—perceiving the problem from only one perspective Response Set—accessing only one solution response (“it’s the way we’ve always done it”)
  • 43. ž Thinking about something only in terms of its functionality, rather than new ways in which it could be used
  • 44. ž  Self-imposed limitations OR Self-Handicapping: •  Creating limits to protect one’s status or prevent one from failing •  May be “unconscious” to the individual (may be based on perceived social status—sex, race)
  • 45. ž Solving this problem requires recognizing that a box need not always serve as a container
  • 46. ž  Solution #1:We move the left two matchsticks, to make a Roman numeral VI. ž  Solution #2:The solution to this is to make twelve in Roman numerals, as shown.The top half is VII, or seven. Just remove the bottom half. ž  Solution #3:We spell out NINE, as shown.
  • 47. "When most of us look at the field of nine dots, we imagine a boundary around the edge of the dot array. In doing so, we limit ourselves to trying solutions to the puzzle that only link the dots inside the imaginary border. The result is futility.We can only solve the puzzle if we realize that there is no border."
  • 48. ž  Procedure: •  Give participants one problem to read, with a solution •  Then give them a second problem, which can be solved using a similar solution ž  3 groups of participants •  Control group that only tried to solve the radiation problem •  A group previously given the analogous General/Fortress problem & solution •  A group given the General/Fortress problem and told that its solution would help in solving the radiation problem Obstacles Gick & Holyoak (1980)
  • 49. 0 10 20 30 40 50 60 70 80 90 100 Control Analogy Analogy & Hint Obstacles Gick & Holyoak (1980) Results
  • 50. ž Similarity ž Number of examples exposed to •  Gick and Holyoak conducted a study in which the dictator story was just one of three other stories participants heard before radiation problem •  Only 20% got the problem correct ž Whether schema for problem is activated •  If the two problems are separated by a delay or if they are presented in different contexts, almost none of the participants use the analogy Obstacles
  • 51. Abstract Thinking Separates Experts from Novices Experts have more abstract representations Experts know more solutions Not a general ability Have an extensive knowledge that they use to organize, represent, and interpret information in their environment This affects their abilities to remember, reason, and solve problems
  • 52. ž Participants were chess masters and beginning chess players ž Studied a chess board that had the pieces randomly displayed or a chess board with pieces in the middle of a game. ž Beginners and experts had to recall as many pieces as they could Expertise
  • 54. ž Master chess players and beginning players recalled a similar number of pieces from the random board ž Master chess players remember significantly more chess pieces from the game board in play than did the beginning chess players Expertise
  • 55. ž Better schemas ž Well organized knowledge in specific domain ž Less time to set up problem ž Select more appropriate strategies ž Faster at solving problems ž Are more accurate Expertise
  • 56. ž Need  new  theories  in  all  domains   ž Is  it  possible  to  lead  people  to  beFer   thinking?   ž Humans  are  capable  of  excellent  quality   thinking;  thoughts?  
  • 57. Those who make good decisions and solve problems with higher levels of success share characteristics of critical thinking •  Thinking is goal directed •  Thinking is based on logic and reliable information •  One’s own assumptions and biases are questioned first •  Other’s assumptions and assertions are questioned •  Assertions are supported with valid and reliable supporting data •  Alternative and oppositional views are considered fairly •  Contradictory data or evidence are considered and refuted fairly
  • 58.
  • 59. How  to  use  it   well   When  it’s   effec&ve  How  it  may   have  been   adap&ve  §  We  have  seen  that   in  complex   situa,ons,  it  helps   to  use  careful   reasoning  to  avoid   mistakes  made  by   intui,ve  judgments.   §  However,  research   supports  the  idea   that  some,mes  we   need  to  let  our   unconscious  mind   do  some  work.     §  Incuba&on  refers  to   the  power  of  taking   a  break  from  careful   thinking,  even  to   “sleep  on  it,”  to   allow    leaps  in   cogni,on.   §  Judging  quickly   what  to  eat  and   what  might  kill  us   might  have  helped   our  ancestors   survive  long   enough  to   reproduce.   §  The  ,mes  that  our   intui,on  was   incorrect  may  not   have  been  fatal;  if   humans    avoided   all  red  plants   instead  of   poisonous  berries,   they  might  have   been  hungry,  but   s,ll  alive.   §  Intui,on  is  effec,ve   when  it  is  a  product   of  exper&se  built  up   from  trial  and  error;   this  hones  one’s   judgment  to  the   point  of  being  more   accurate  than  logical   analysis.   §  Examples:  knowing   the  sex  of  a  chick,   making  a  diagnosis,   speed  chess,   quarterback   decisions   §  The  mind’s  ability   to  judge  a  situa,on   from  experience  is   more  efficient  than   any  step-­‐by-­‐step   analysis.    
  • 60. Insight  and  the  Brain   In  one  study,  par,cipants  monitored  by   fMRI  and  EEG  were  asked,  “which  word  will   form  a  compound  word  with  the  words   pine,  crab,  and  sauce?”   What  the  brains  did  along  with  the  “aha!”   of  geYng  the  answer:   Insight  refers  to  a   sudden  realiza,on,   a  leap  forward  in   thinking,  that  leads   to  a  solu,on.   § We  say  “aha”  and   feel  a  sense  of   sa,sfac,on  when  an   answer  seems  to   pop  into  our  minds.   § We  also  may  laugh;   joke  punchlines  rely   on  sudden  insight.   1.  extra  frontal  lobe   ac,vity   2.  experiencing  the   “aha!”  moment   and  sta,ng  the   answer   3.  a  burst  of  ac,vity  in   right  temporal  lobe  
  • 61. ž  Process of creating something that is original and worthwhile ž  Multiple views which emphasize •  The product •  The personpersonality creating the product •  The creative process; the steps that the creative person followed to create the product •  The creative environment •  A synthesis of all of the above