• No results found

University of Groningen A computational cognitive modeling approach to the development of second-order theory of mind Arslan, Burcu

N/A
N/A
Protected

Academic year: 2021

Share "University of Groningen A computational cognitive modeling approach to the development of second-order theory of mind Arslan, Burcu"

Copied!
2
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

University of Groningen

A computational cognitive modeling approach to the development of second-order theory of

mind

Arslan, Burcu

IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from

it. Please check the document version below.

Document Version

Publisher's PDF, also known as Version of record

Publication date:

2017

Link to publication in University of Groningen/UMCG research database

Citation for published version (APA):

Arslan, B. (2017). A computational cognitive modeling approach to the development of second-order theory

of mind. University of Groningen.

Copyright

Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons).

Take-down policy

If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum.

(2)

Propositions accompanying the thesis

A computational cognitive modeling approach to the development of second-order theory of mind

Burcu Arslan

1. Five-year-olds make systematic errors in second-order false belief tasks, which are due to using a first-order theory of mind strategy. – Chapter 2 2. Children explicitly revise their wrong first-order theory of mind strategy to

a correct second-order strategy. – Chapter 2

3. It is possible to accelerate children’s development of second-order false be-lief reasoning with the feedback “Wrong” without any need to explain the reasons why their answers are wrong. – Chapters 2 & 3

4. Children’s failures in second-order false belief reasoning are caused by their lack of experience rather than the need for a conceptual change which re-fers to understanding that beliefs can be used recursively. – Chapter 3

5. Although second-order syntactic recursion is significantly correlated with second-order false belief reasoning, the main predictor of second-order false belief reasoning is complex working memory. – Chapter 4

6. The serial processing bottleneck hypothesis provides a procedural account for the role of complex working memory strategies in the development of second-order false belief reasoning. – Chapter 4

7. Our cognitive models predict that training three-year-olds with complex working memory tasks accelerates their development of first-order theory of mind and this prediction needs to be tested empirically. – Chapter 5 8. The key factor for the transfer from the Dimensional Change Card Sorting

task to the first-order false belief task and vice versa is training for the use of the strategy of control with the help of explicit feedback with further ex-planations instead of a simpler reactive strategy. – Chapter 6

9. Constructing cognitive models to predict the effect of different feedback methods and what kind of skills might be transferred to another domain (far transfer) is an effective way of designing an appropriate training study and a valuable tool to interpret the empirical results. – Chapters 2 & 3 & 5 & 6 10. “What I cannot create, I do not understand.” (Feynman, 1988)

Referenties

GERELATEERDE DOCUMENTEN

In contrast, de  Villiers et al.’s (2014) preliminary results showed that 60% of five- to six-year-olds’ answers were based on the zero-order ToM strategy, and only around 20%

Figure 3.5 shows (a) proportion of correct answers to the second-order false belief questions at pre-test, post-test and follow-up sessions and (b) the difference in

It is as if one piece of the hierarchy is flattened, or skipped over in parsing.” (p. We may generalize children’s failures at first-order and second-order false belief

Chapter 5: The Role of Simple and Complex Working Memory Strategies in the Development of First-order False Belief Reasoning: A Computational Model of Transfer of Skills..

data were calculated based on the proportions under the assumption that there was no missing data. The number of repetitions of the DCCS and FB models at pre-test, training and

Based on our computational modeling approach that we presented in Chap- ter 2, we propose that even if children go through another conceptual change after they pass the

Het doel van deze modelleeraanpak was, naast het doen van exacte voorspellingen die empirisch getest kunnen worden, om een procedurele verklaring te geven voor

Five-year-olds’ systematic errors in second-order false belief tasks are due to first-order theory of mind strategy selection: A computational modeling study.. Frontiers