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Mind at Play II: Cognitive Dissonance Loftus and Loftus

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Title: Mind at Play II: Cognitive Dissonance Loftus and Loftus


1
Mind at Play II Cognitive Dissonance(Loftus and
Loftus)
  • Wk 4
  • Shuen-shing LeeUnless otherwise specified, the
    ideas and concepts in this ppt are either quoted
    or cited from Loftus and Loftus Mind at Play

2
Mind at Play IICognitive Dissonance
  • An issue Games may be more reinforcing, not
    less, if you have to pay for them? If true,
    enters the cognitive dissonanceNote you need a
    reason to justify the money spent
  • The experimentA tedious, boring task to be
    done. One group, after getting the task done,
    was offered 20 to lie to others that the task
    was fun. The other group was offered 1 to do
    the same things.
  • The result the 1 group claimed to like the
    tedious task much better than did the 20 group.

3
Mind at Play IICognitive Dissonance
  • The theory When a person performs acts that are
    in conflict with one another, cognitive
    dissonance will arise in his mind to reduce the
    conflict. In the forementioned experiment, the
    conflict was between (1) the peoples knowledge
    that they were performing a boring task and (2)
    their knowledge that they had told someone else
    that the task was fun. The 20 group, which
    considered the job much more boring, had adequate
    justificationthey were hired guns, paid to lie.
    The 1 group didnt have this handy
    justification. By believing that the task was
    more interesting, they created a justification
    for the positive report that they made about it.

4
Mind at Play IICognitive Dissonance
  • Extrinsic reinforcementThe 20 group got
    sufficient extrinsic reinforcement to justify
    their lying.
  • Intrinsic reinforcementThe 1 dollar group got
    insufficient extrinsic reinforcement to justify
    their lying. Then, the intrinsic reinforcement
    had to be generated. The subjects had to decide
    that the task was more intrinsically fulfilling.

5
Mind at Play IIIRegret and Alternative Worlds
  • One case Two passengers, Mr. Smith and Mr.
    Jones, have missed their respective flight "in
    equal difficulty," but Smith is late for two
    minutes while Jones late for half an hour. Smith
    usually experiences worse regret, since the
    discrepancy between his reality (two minutes
    late) and the alternate world (catching up the
    flight) is much less.
  • The theory Psychologists propose that the less
    the difference between one's reality and its
    "alternate world," the more regret one gets.

6
Mind at Play IIIRegret and Alternative Worlds
  • The case of games In the gaming process, a wrong
    decision that ends the game (the reality) usually
    makes the player regret not having advanced to
    the next level or cracked the game (the
    alternate). When tuning the difficulty for a
    level of a game, designers attempt to minimize
    the distance between advancement and failure,
    thus maximizing the degree of regret in the
    player's response, or, in other words, augmenting
    the possibility of the player's inserting more
    quarters or reloading the previously saved game
    to assuage his regret.

7
Asimo Speech to Speechsource
http//world.honda.com/ASIMO/
8
Robo Dog Speech to Speech?Robo dog proves hit
with the elderlyCould it replace man's best
friend?Source http//www.pocket-lint.co.uk/news/
news.phtml/13144/14168/Robot-dog-popular-with-elde
rly.phtml
9
Tactical Iraqi Speech to SpeechUsing games to
learn Iraqi and other languagesSource
http//www.tacticallanguage.com/gettingthem.html
10
Nurse Bot Using AIMLSource http//www.alicebot.
org/oldnews2007.html
11
ALICE Text to Text, Text to Speech
  • The MechanismSpeech ? (Text ? Text ) ?
    SpeechSpeech ? (Text ? Text ) ? Speech
  • Our focus Text-to-Text (the core concept of a
    bot), devoid of the speech-to-speech engineering.
    Note A TTT bot can be rendered into a TTS bot
    in the Pandorabots environment.

12
AIML-ALICE 1
  • Apply for a pandorabot account
  • Log in
  • Create a Pandorabot--Give it a name--Choose a
    brain (e.g., ALICE, version 2003)--Press the
    Create Pandorabot
  • Publish the bot

13
AIML-ALICE 2
  • Click the bots address to have it tested on the
    Internet.
  • Custom HTML--Use the HTML tags readily
    available in the description section.--Relocate
    OUTPUT to the place after input--Give the
    file a name and submit it.--To modify the file,
    click Custom HTML. Your html file will be on
    the list. Click it. After modification is done,
    save the file and press submit changes.

14
AIML-ALICE 3
  • Properties--change properties or add new
    --properties form ( properties such as
    interest tennis)
  • Press submit changes
  • REPUBLISH the bot

15
AIML-Blank 1
  • Create a Pandorabot--Give it a name--Choose
    the option, no initial content--Press the
    Create Pandorabot
  • Publish the bot
  • Do a comparison between 072-alice and 072-blank
    in light of AIML section

16
AIML-Blank 2
  • Do not try properties (before building up more
    AIML file).
  • Learn to use Pandorawriter.--A sample writing
    below. Convert it and download it to your local
    machine. Later, upload it to the AIML
    page.What is your nameCall me AlHow old
    are you18Tell me more about yourselfWhy
    should I?You need a job from meOh ya
  • NOTES 1. Pandorawriter provides only one-to-one
    mode. Lets learn a little bit of AIML tags to
    empower our bots.2. As long as theres an
    asterisk in superscript after the bots name, it
    means the bot needs a republish.

17
AIML-Blank 3
  • Open up one of your files in the AIML page and
    check.
  • Use the space in the file and add more
    categories.--one-to-one mode--one-to-many (see
    next ppt page)--one-to-many-many--many-to-one
    v1 (random)--many-to-one v2 (the
    ultimate)--many-to-one v3 (lt/sraigt)--many-to-ma
    ny (lt/sraigt random)--many-to-many-many?
  • NOTES For samples, go to the instructors
    website downloads/hyper-aiml-samples.doc

18
AIML-Blank 4
  • One-to-many A sampleltcategorygt ltpatterngt
    What do you like to eat lt/patterngt
    lttemplategt ltrandomgt ltigtspaghettilt/igt
    ltigtnoodlelt/igt lt/randomgt
    lt/templategtlt/categorygt
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