Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Published

Standard

Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory. / Quayle, Jeremy D.; Ball, Linden J.
Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society. ed. / J. D. Moore; K. Stenning. Mahwah, New Jersey: Lawrence Erlbaun Associates, 2001.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Quayle, JD & Ball, LJ 2001, Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory. in JD Moore & K Stenning (eds), Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society. Lawrence Erlbaun Associates, Mahwah, New Jersey.

APA

Quayle, J. D., & Ball, L. J. (2001). Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory. In J. D. Moore, & K. Stenning (Eds.), Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society Lawrence Erlbaun Associates.

Vancouver

Quayle JD, Ball LJ. Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory. In Moore JD, Stenning K, editors, Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society. Mahwah, New Jersey: Lawrence Erlbaun Associates. 2001

Author

Quayle, Jeremy D. ; Ball, Linden J. / Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory. Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society. editor / J. D. Moore ; K. Stenning. Mahwah, New Jersey : Lawrence Erlbaun Associates, 2001.

Bibtex

@inbook{101f12391cb24e9aabec99975d48f6f0,

title = "Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory.",

abstract = "In this paper we propose a mental models theory of syllogistic reasoning which does not incorporate a falsification procedure and clearly specifies which conclusions will be generated and in what order of preference. It is assumed the models constructed vary in terms of the number of uncertain representations of end terms, and the directness of the representation of the subjects of valid conclusions. These key factors determine which quantified conclusion will be generated, as well as the varying tendency to respond that {"}nothing follows{"}. The theory is shown to provide a close fit to meta-analysis data derived from past experiments.",

author = "Quayle, {Jeremy D.} and Ball, {Linden J.}",

year = "2001",

language = "English",

editor = "Moore, {J. D.} and K. Stenning",

booktitle = "Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society",

publisher = "Lawrence Erlbaun Associates",

}

RIS

TY - CHAP

T1 - Cognitive Uncertainty in Syllogistic Reasoning: An Alternative Mental Models Theory.

AU - Quayle, Jeremy D.

AU - Ball, Linden J.

PY - 2001

Y1 - 2001

N2 - In this paper we propose a mental models theory of syllogistic reasoning which does not incorporate a falsification procedure and clearly specifies which conclusions will be generated and in what order of preference. It is assumed the models constructed vary in terms of the number of uncertain representations of end terms, and the directness of the representation of the subjects of valid conclusions. These key factors determine which quantified conclusion will be generated, as well as the varying tendency to respond that "nothing follows". The theory is shown to provide a close fit to meta-analysis data derived from past experiments.

AB - In this paper we propose a mental models theory of syllogistic reasoning which does not incorporate a falsification procedure and clearly specifies which conclusions will be generated and in what order of preference. It is assumed the models constructed vary in terms of the number of uncertain representations of end terms, and the directness of the representation of the subjects of valid conclusions. These key factors determine which quantified conclusion will be generated, as well as the varying tendency to respond that "nothing follows". The theory is shown to provide a close fit to meta-analysis data derived from past experiments.

M3 - Chapter

BT - Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society

A2 - Moore, J. D.

A2 - Stenning, K.

PB - Lawrence Erlbaun Associates

CY - Mahwah, New Jersey

ER -

Research