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Mei:CogSci Semester 2 > Comp. Models of the Mind - Last Slide Pack I > Flashcards

Comp. Models of the Mind - Last Slide Pack I Flashcards

1
Q

What does MHP stand for?

A

Model Human Processor

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2
Q

What does CCT stand for?

A

Cognitive Complexity Theory

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3
Q

What can a theory of transfer of training be based on?

A

the CCT

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4
Q

What are the three interacting subsystems (“processors”) in the Model Human Processor?

A
  • Perceptual (Auditiry and visual image store)
  • Cognitive (working and long-term memories)
  • Motor subsytem
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5
Q

5 properties of the MHP:

A
  • Three interacting subsystems
  • Limited capacities and timing
  • specific interfaces and general operating principles (e.g. Fitts’ law)
  • support for serial and parallel behaviors
  • quantitative predictions about execution times
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6
Q

List some example parameters of the Model Human Processor:

A
  • Capacity and decay e.g. of Auditory image store or working memory.
  • Cycle durations of cognitive (100), motor (70) and perceptual (70) processors
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7
Q

What can Model Human Processor be used for?

A

MHP can be used to calculate how long it takes to perform a certain task. Products can be analysed based on MHP.

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8
Q

Key-Areas that we discussed in paradigms of cognition:

A 
Action
Adaptation
Anticipation
Cognition
Computational Operation
Embodiment
Inter-Agent Epistemology
Motivation
Perception
Philosophical Foundation
Relevance of Autonomy
Representation
Semantic Grounding
Time
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9
Q

Cognitivist Paradigm on Computational Operation

A
  • Rule-based manipulation of symbols

- usually sequential

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10
Q

Cognitivist Paradigm on Representational Framework

A
  • Patterns of Symbolic Tokens refer to events in real world
  • product of designer
  • usually local
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11
Q

Cognitivist Paradigm on Semantic Grounding

A
  • grounded through percept-symbol identification

- representations directly accessible for humans

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12
Q

Cognitivist Paradigm on Temporal Constraints

A
  • not necessarily entrained (automatically synchronised) by worldly events
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13
Q

Cognitivist Paradigm on Inter-Agent Epistemology

A
  • positivist view of reality: abolute shared epistemology

- structure and semantics of world are idenpendent of system’s cognition

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14
Q

Cognitivist Paradigm on Embodiment

A
  • not necessarily

- cognition -> skull-bound

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15
Q

Cognitivist Paradigm on Perception

A
  • perception as interface btw. world and internal representations
  • perception abstracts spatio-temporal representations from sensory data
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16
Q

Cognitivist Paradigm on Action

A
  • causal consequence of cognition
17
Q

Cognitivist Paradigm on Anticipation

A
  • usually planning using procedural or probabilistic reasoning
18
Q

Cognitivist Paradigm on Adaptation

A
  • usually by acquisition of new knowledge
19
Q

Cognitivist Paradigm on Motivation

A
  • e.g. resolving an impasse
20
Q

Cognitivist Paradigm on Relevance of Autonomy

A
  • not necessarily
21
Q

Emergent Paradigm on Temporal Constraints

A
  • Synchronous realt-time entrainment with the world
22
Q

Emergent Paradigm on Inter-Agent Epistemology

A
  • agent-dependent epistemology, based on shared experiences
23
Q

Emergent Paradigm on Embodiment

A
  • cognition, action and perception is embodied
24
Q

Emergent Paradigm on Perception

A
  • change of system’s state in response to world to maintain stability
25
Q

Emergent Paradigm on Action

A
  • pertubation of world by the system
26
Q

Emergent Paradigm on Anticipation

A
  • requires system to visit states without conducting associated actions
27
Q

Emergent Paradigm on Adaptation

A
  • structural alteration, reorganisation
28
Q

Emergent Paradigm on Motivation

A
  • e.g. enlarging space of interaction
29
Q

Emergent Paradigm on Relevance of Autonomy

A
  • crucial! cognition as process whereby system becomes autonomous, viable and effective
30
Q

Emergent Paradigm on Semantic Grounding

A
  • meaning only in terms of sustaining system viability

- not directly accesible for humans

31
Q

Emergent Paradigm on Representational Framework

A
  • global system states, encoded in the dynamic organization of system components
32
Q

Emergent Paradigm on Computational Operation

A
  • network of interacting components

Mei:CogSci Semester 2 (16 decks)

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