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B exam review > Cognitive Modeling > Flashcards

Cognitive Modeling Flashcards

(49 cards)

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1
Q

2 types of arrival patterns

A

standard; non-standard

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2
Q

2 types of service patterns

A

state-independent

state-dependent

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3
Q

Three queuing principles

A
  • FCFS
  • LCFS
  • pre-emptive
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4
Q

Processing capacity

A

how many customers can be served at once

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5
Q

A/B/X/Y/Z

A 
A = arrival pattern (M, N, D, G)
B = service pattern (M, N, D, G)
X = processing capacity / number of parallel lines/channels
Y = buffer size
Z = queue principle (FCFS, etc)
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6
Q

Traffic intensity function

A 
P = utilization of server
gamma = arrival rate
mu = service speed/rate
P = gamma/mu
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7
Q

W

A

Wait time

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8
Q

L

A

Expected number of customers

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9
Q

Mental workload

A

directly proportionate to average utilization (linear)

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10
Q

Queuing applications in human performance

A
  • quantitative mechanism to understand human performance
  • experiment may be too hard/expensive/impossible
  • unify many experiments (MHP)
  • used in interface design
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11
Q

Ideal human processing model expectations

A
  • address internal mechanisms (neuroscience/cog structure)
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12
Q

Parietal cortex

A

memory, language

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13
Q

Occipital lobe

A

visual signals

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14
Q

Wernicke’s area / Broca’s area

A

language

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15
Q

Inner ear

A
  • hairs transmit signals

- balance

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16
Q

EEG vs. ERP

A

EEG - no obvious external stimuli

ERP - triggered by event

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17
Q

Reaction time

A

1/mu

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18
Q

RT

A

realization time + wait time

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19
Q

SOA

A

Time between arrival times

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20
Q

Relation between neuroscience and cognitive modeling

Study These Flashcards
A
  • Human behavior is the result of interaction between physical and mental activities in body and brain
  • Human neural system is the ground of cognitive model; we no longer work on the black-box assumption
21
Q

ACT-R evolution

Study These Flashcards
A

HAM->ACT-R 1.0 -> ACT-R/PM

Perceptual and motor from epic

22
Q

QN-MHP

Study These Flashcards
A
  • Cognitive subnetwork

- One serial server (F), other servers are parallel

23
Q

Keys to building your own cognitive simulation model (planning)

Study These Flashcards
A

(1) how to model human operators
(2) how to model interaction between the human operators and the world
(3) how many servers you need
(4) how to connect those servers

24
Q

Keys to building your own cognitive simulation model (coding)

Study These Flashcards
A

(1) processing time of servers -> using Qn-MHP or MHP
(2) Capacity of servers
(3) Response recording (response, workload)

25
Keys to building your own cognitive simulation model (key principles)
- Always set the model's parameters according to: MHP, Literature, Cognitive mechanisms, experimental settings - Never code to match your data
26
Measurements of mental workload
- Performance-based - Subjective - Psychophysiological
27
Advantages to psychophysiological
- do not add a new task to measure workload | - real-time
28
P300 amplitude
- reliable and real-time index of mental workload - ERP - a positive component of ERP with latency between 300 and 800
29
Existing adaptive workload management systems
- phone adaptive system - voice adaptive system - in-vehicle message system
30
How to set parameters
- literature - experimental settings - model's initial setting (MHP - ex) - free parameters
31
Benefits of math model
- rigorous quantification of the system - equations are easy to be reused, extended, transferred - produce analytical solutions
32
Disadvantages of math model
- system's with high complexity are hard to model | - deterministic - only have point estimation
33
Benefits of simulation model
- no limitation of complexity of system to be modeled - can be used when math model is NP hard - distribution prediction
34
Disadvantages to simulation model
- lots of iterations -> closer to analytical solution | - codes are not easily transferable to math equation
35
Exponential model
E(avg-min, 1, min), then change to seconds
36
Core assumptions of EPIC
- no limitation on cognitive capacity | - perceptual motor have limited capacity
37
Core assumptions of ACT-R
Cognitive processing serial (capacity = 1) | One production rule fired at a time
38
Core assumption of SOAR
no limitations anywhere
39
Frequency in promodel
inter-arrival time
40
Processing logic in promodel
when your entities arrive at current location, what are the processes? - happens automatically
41
Move logic in promodel
happens only when destination server is available
42
Things learned from papers
- must have R^2 and RMS - must have experimental validation - detailed analysis of human cognition - include codes - show model and experimental results together - no single server model
43
attribute
label specific towards this entity
44
Improve model
- parameters consistent with task - understand which part of model influences data a lot - check R^2 and RMS - free parameters
45
How to apply/use model
- Goal 1: improve human performance/reduce workload (use optimization/scheduling to develop new systems) - Goal 2: explain more experimental results (change model's input/output)
46
3 different ways to model human brain network
(1) neurological (2) math (3) simulation
47
Promodel process
- locations - entities - processing (processing logic and move logic) - arrivals (inter-arrival time) - (variables) - (general information)/(simulation options)
48
Additional promodel process for clock
- attribute - arrays - arrival logic - processing logic - Global variable
49
Johnson's rule
doesn't know which arrives first, just calculates the optimal

B exam review (7 decks)

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