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Title:
An Abductive Reasoning Approach to the Belief Bias Effect
Publication date:
July 2014
Citation:
arabbe
Abstract:
The tendency to accept or reject arguments based on own beliefs or prior knowledge rather than on the reasoning process is called the belief-bias effect. A psychological syllogistic reasoning task shows this phenomenon, wherein participants were asked whether they accept or reject a given syllogism. We discuss one case which is commonly assumed to be believable but not logically valid. By introducing abnormalities, abduction and background knowledge, we model this case under the weak completion semantics. Our formalization reveals new questions about observations and their explanations which might include some relevant prior abductive contextual information concerning some side-effect. Inspection points, introduced by Pereira and Pinto, allow us to express these definitions syntactically and intertwine them into an operational semantics.
In proceedings
Authors:
Luís Moniz Pereira
, Emmanuelle-Anna Dietz, Steffen Hölldobler
Editors:
Thomas Eiter
Book title:
Procs. 14th Intl. Conf. on Principles of Knowledge Representation (KR'14)
Series:
International Conferences on Principles of Knowledge Representation
Publisher:
AAAI Press
Address:
http://www.kr.tuwien.ac.at/events/kr2014/
Volume:
-
Pages:
653-656
ISBN:
-
ISSN:
-
Note:
-
Url address:
http://centria.di.fct.unl.pt/~lmp/publications/online-papers/abd_context-short.pdf
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Plain text:
Luís Moniz Pereira and Emmanuelle-Anna Dietz and Steffen Hölldobler, An Abductive Reasoning Approach to the Belief Bias Effect, in: Thomas Eiter (eds), Procs. 14th Intl. Conf. on Principles of Knowledge Representation (KR'14), International Conferences on Principles of Knowledge Representation, AAAI Press, http://www.kr.tuwien.ac.at/events/kr2014/, Pag. 653-656, (http://centria.di.fct.unl.pt/~lmp/publications/online-papers/abd_context-short.pdf), July 2014.
HTML:
<a href="/people/members/view.php?code=6175f826202ff877fba2ad77784cb9cb" class="author">Luís Moniz Pereira</a>, Emmanuelle-Anna Dietz and Steffen Hölldobler, <b>An Abductive Reasoning Approach to the Belief Bias Effect</b>, in: Thomas Eiter (eds), <u>Procs. 14th Intl. Conf. on Principles of Knowledge Representation (KR'14)</u>, International Conferences on Principles of Knowledge Representation, AAAI Press, http://www.kr.tuwien.ac.at/events/kr2014/, Pag. 653-656, (<a href="http://centria.di.fct.unl.pt/~lmp/publications/online-papers/abd_context-short.pdf" target="_blank">url</a>), July 2014.
BibTeX:
@inproceedings {arabbe, author = {Lu\'{\i}s Moniz Pereira and Emmanuelle-Anna Dietz and Steffen H\"olldobler}, editor = {Thomas Eiter}, title = {An Abductive Reasoning Approach to the Belief Bias Effect}, booktitle = {Procs. 14th Intl. Conf. on Principles of Knowledge Representation (KR'14)}, series = {International Conferences on Principles of Knowledge Representation}, publisher = {AAAI Press}, address = {http://www.kr.tuwien.ac.at/events/kr2014/}, pages = {653-656}, url = {http://centria.di.fct.unl.pt/~lmp/publications/online-papers/abd_context-short.pdf}, abstract = {The tendency to accept or reject arguments based on own beliefs or prior knowledge rather than on the reasoning process is called the belief-bias effect. A psychological syllogistic reasoning task shows this phenomenon, wherein participants were asked whether they accept or reject a given syllogism. We discuss one case which is commonly assumed to be believable but not logically valid. By introducing abnormalities, abduction and background knowledge, we model this case under the weak completion semantics. Our formalization reveals new questions about observations and their explanations which might include some relevant prior abductive contextual information concerning some side-effect. Inspection points, introduced by Pereira and Pinto, allow us to express these definitions syntactically and intertwine them into an operational semantics.}, keywords = {Abductive Reasoning; Side-effects; Inspection Points; Human Reasoning; Belief-Bias Effect}, month = {July}, year = {2014}, }
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