Question 1

What is the purpose of creating a computational model based on the DRC?

Accepted Answer

To transform verbal theories into algorithms and make predictions.

Answer

To find the most common words in a language.

Answer

To simulate neural connections in the brain.

Answer

To explain the dynamics of activation in the DRC model.

Question 2

What is the main difference between the DRC and IA models?

Accepted Answer

DRC accepts words of various lengths, while IA only accepts 4-letter words.

Answer

DRC uses a direct route, while IA uses a conversion route.

Answer

DRC has a serial activation process, while IA has a parallel activation process.

Answer

DRC is a more complex model than IA.

Question 3

What is the advantage of using a computational model in psychology research?

Accepted Answer

It allows for precise predictions and testing of theories.

Answer

It simplifies complex psychological phenomena.

Answer

It allows for direct observation of behavior.

Answer

It provides a visual representation of neural connections.

Question 4

What is the main goal of a computational model in psychology?

Accepted Answer

To serve as the foundation of a theory and make predictions.

Answer

To replace verbal theories with mathematical equations.

Answer

To simulate neural behavior in the brain.

Answer

To replicate human behavior in artificial intelligence systems.

Question 5

What does the DRC model rely on for its processing?

Accepted Answer

Cascade and parallel processing.

Answer

Lateral inhibition and neural connections.

Answer

Serial processing and inhibition.

Answer

Feedback and activation levels.

Question 6

What does the graph in the text demonstrate about word frequency?

Accepted Answer

Words of high frequency activate faster than words of low frequency.

Answer

There is no relationship between word frequency and activation speed.

Answer

Words of low frequency activate faster than words of high frequency.

Answer

All words activate at the same speed, regardless of frequency.

Question 7

What is the name of the model used for the simulation in the text?

Accepted Answer

Ersy

Answer

IA

Answer

DRC

Answer

IAC

Question 8

What is the main characteristic of the connections in the CANE model?

Accepted Answer

They have the same value for all letters and slots.

Answer

They only connect letters to words, not vice versa.

Answer

They are absent in the CANE model.

Answer

They have different values for different letters and slots.

Question 9

What is the goal of a computational model in the field of reading research?

Accepted Answer

To understand reading behavior and make precise predictions.

Answer

To develop advanced reading comprehension algorithms.

Answer

To analyze the effects of different font styles on reading speed.

Answer

To measure neural activity during reading.

Question 10

What is the name of the model that is described in the given text?

Accepted Answer

DRC

Answer

Ersy

Answer

IAC

Answer

CAN

Question 11

What does the DRC model use to recognize stimuli?

Accepted Answer

Direct route and conversion from graphemes to phonemes

Answer

Direct route and conversion from phonemes to graphemes

Answer

Serial conversion from graphemes to phonemes

Answer

Indirect route and conversion from phonemes to graphemes

Question 12

What happens when certain parts are removed from the DRC model?

Accepted Answer

The model becomes similar to the IAC model

Answer

The model becomes similar to the CAN model

Answer

The model becomes more complex and accurate

Answer

The model ceases to function properly

Question 13

How does the DRC model propagate processing?

Accepted Answer

Cascading and parallel

Answer

Serial and sequential

Answer

Hierarchical and linear

Answer

Random and chaotic

Question 14

What is one reason for creating a computational model like the DRC?

Accepted Answer

To overcome the ambiguity and inconsistency of verbal theories

Answer

To prove the superiority of verbal theories

Answer

To challenge the existing psychological theories

Answer

To develop more complex experimental designs

Question 15

What is the relationship between the DRC and IA models?

Accepted Answer

The DRC is a generalization of the IA model

Answer

The DRC and IA models are identical

Answer

The DRC and IA models are independent

Answer

The IA model is a subset of the DRC model

Question 16

What is the primary purpose of developing a computational model?

Accepted Answer

To implement and transform verbal theories into algorithms

Answer

To establish a standard for experimental designs

Answer

To replace verbal theories with mathematical models

Answer

To create a theoretical framework for verbal theories

Question 17

What does the DRC model demonstrate?

Accepted Answer

The behavior of reading and the predictability of the theory

Answer

The limitations of verbal theories

Answer

The versatility of computational models

Answer

The effectiveness of mathematical algorithms

Question 18

What is the purpose of a computational model in psychology?

Accepted Answer

To connect theories with empirical data and improve precision

Answer

To challenge and disprove existing theories

Answer

To generate new research questions and hypotheses

Answer

To simplify complex psychological phenomena

Question 19

What is the advantage of using computational models in psychology?

Accepted Answer

They can be transformed into algorithms and provide testable predictions

Answer

They simplify complex psychological phenomena

Answer

They eliminate the need for empirical research

Answer

They increase the reliance on verbal theories

Question 20

Qual è la via diretta nel modello DRC secondo il testo di riferimento?

Accepted Answer

Dal riconoscimento di lettere al buffer fonemico

Answer

Dal riconoscimento di parole di 4 lettere

Answer

Dalla lettura di parole di bassa frequenza

Answer

Dalla lettura di parole di alta frequenza

Answer

Dalla conversione di grafemi in fonemi per le non parole

Question 21

Qual è l'importanza di un modello computazionale nella psicologia?

Accepted Answer

Per trasformare teorie verbali in algoritmi e fare previsioni

Answer

Per creare teorie verbali basate sui dati

Answer

Per sperimentare con modelli matematici

Answer

Per dimostrare l'incompatibilità tra teoria e dati

Answer

Per accumulare evidenze sperimentali

Question 22

Qual è l'estensione del modello IAC nel modello DRC?

Accepted Answer

Prende tutte le parole di lunghezza compresa tra 1 e 8

Answer

Prende tutte le parole di lunghezza superiore a 8

Answer

Prende solo parole di 1 lettera

Answer

Prende solo parole di 8 lettere

Answer

Prende solo parole di 4 lettere

Question 23

Qual è la dinamica di attivazione nel modello DRC?

Accepted Answer

Cascata e parallela

Answer

Casuale e disordinata

Answer

Sequenziale e iterativa

Answer

Concentrica e centrata

Answer

Lineare e seriale

Question 24

Cosa rappresenta il modello DRC secondo il testo di riferimento?

Accepted Answer

Un modello teorico di come le persone leggono

Answer

Un modello matematico delle reti neurali

Answer

Un modello computazionale per la psicologia

Answer

Un modello verbale delle teorie psicologiche

Answer

Un modello di elaborazione di parole di alta frequenza

Question 25

Qual è il motivo principale per creare un modello computazionale nella psicologia?

Accepted Answer

Collegare teorie ai dati ed evitare componenti differenziali

Answer

Formulare teorie verbali basate sui dati

Answer

Sperimentare con modelli matematici

Answer

Risolvere problemi trasversali della psicologia

Answer

Dimostrare l'incompatibilità tra teorie e dati

Question 26

Cos'è il modello CANE secondo il testo di riferimento?

Accepted Answer

Un modello connessionista con parametri sulle connessioni

Answer

Un modello di elaborazione di parole di bassa frequenza

Answer

Un modello matematico delle onde cerebrali

Answer

Un modello di inibizione laterale delle unità linguistiche

Answer

Un modello computazionale basato su algoritmi

Question 27

Cosa dimostra il grafico nel testo di riferimento?

Accepted Answer

Le parole di alta frequenza si attivano più velocemente di quelle di bassa frequenza

Answer

Le parole di bassa frequenza si attivano più velocemente di quelle di alta frequenza

Answer

Il feedback aumenta la velocità di attivazione delle parole di bassa frequenza

Answer

Il feedback aumenta la velocità di attivazione delle parole di alta frequenza

Answer

Non ci sono differenze nella velocità di attivazione tra parole di alta e bassa frequenza

Question 28

Qual è lo scopo principale di un modello computazionale nella psicologia?

Accepted Answer

Trasformare teorie verbali in algoritmi

Answer

Dimostrare l'incompatibilità tra teoria e dati

Answer

Individuare le parole di alta frequenza

Answer

Sperimentare con modelli connessionisti

Answer

Creare modelli matematici delle reti neurali

Question 29

Perché il modello DRC è una generalizzazione del modello IA?

Accepted Answer

Prende tutte le parole di lunghezza compresa tra 1 e 8

Answer

Prende solo parole di lunghezza superiore a 8

Answer

Prende solo parole di 4 lettere

Answer

Prende solo parole di 8 lettere

Answer

Prende solo parole di 1 lettera

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