Learning and Causal Reasoning Flashcards

1
Q

Schemas

A
  • Often called “frames”
  • Naive theories or data structures that guide information processing by structuring experiences, regulating behavior, and providing a basis for making inferences
  • Schemas are like “default” settings
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2
Q

Scripts

A
  • Data structures that code contextually-based sequences comprising everyday life
  • About sequences occurring in order, one thing happens first, then something follows
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3
Q

Schema Function

A
  1. Expectations about likely events
  2. Fill in gaps when listening/reading
  3. Perception of visual scenes
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4
Q

Hierarchical Semantic Network Model

A
  • Basically linked schemas
  • Tested with lexical decision tasks
  • “Canary is a bird” = faster than “Canary is an animal”
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5
Q

The Fan Effect

A
  • Activation spreading from an item having many associations will be divided across those many connections
  • More connections = each one gets weaker
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6
Q

Encoding Variability

A

Basic idea: make as many associations as you possibly can with info you need to recall
- Study in lots of locations! If you’re reading this, kudos!

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7
Q

Classical Conditioning

A
  • Ivan Pavlov was studying digestion; dogs salivated whenever assistant came into the room
  • Innate reflex responses
  • Unconditioned Stimulus = sight or smell of food
  • Unconditioned Response = salivation
  • Conditioned Stimulus = neutral, temporally associated with US
  • Conditioned Response = salivation in response to neutral stimulus
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8
Q

Conditioned Taste Aversion

A
  • Requires only one CS-UCS pairing to be effective
  • Gap between CS & UCS can be very long
  • Association is selective; odor & taste more often than other stimuli
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9
Q

Operant Conditioning

A
  • Definition: a learning process where the frequency of a behavior is modified by the consequences of the behavior
  • Basically, wait until the animal/person does something, then either reward, punish, or withhold reward
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10
Q

Premack Principle

A
  • Definition: high-probability behaviors (frequently performed under free-choice) can be used to reinforce low probability behaviors
  • Reinforcers can be responses
  • Observe voluntary choices and use preferred behaviors to reinforce
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11
Q

Fundamental Attribution Error

A

Tendency to make dispositional attributions about others while ignoring the situation.

  • It’s just how they ARE.
  • We’re less likely to do this to ourselves.
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12
Q

Power-Based Model of Causal Induction

A

People attribute causation because they can tell a story about the power of the assumed cause to create the event
- Power = the extent to which we know the mechanisms behind causation

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13
Q

Cheng’s Power of Probabilistic Contrast Model

A
  • People’s goal in causal induction is to estimate causal powers from observable covariation
  • Using covariation to tell a story
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