A Computational Logic Approach to the Belief Bias Effect

Luís Moniz PereiraLuís Moniz Pereira, Emmanuelle-Anna DietzEmmanuelle-Anna Dietz, Steffen HölldoblerSteffen Hölldobler

Luís Moniz Pereira, Emmanuelle-Anna Dietz, Steffen Hölldobler
A Computational Logic Approach to the Belief Bias Effect
In Chitta Baral, Giuseppe De Giacomo, Thomas Eiter, eds., 14th International Conference on Principles of Knowledge Representation and Reasoning, KR 2014, Vienna, Austria, July 20-24, 2014, 2014. AAAI Press

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KurzfassungAbstract
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.
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Forschungsgruppe:Research Group: WissensverarbeitungKnowledge Representation and Reasoning

@inproceedings{PDH2014,
  author    = {Lu{\'{\i}}s Moniz Pereira and Emmanuelle-Anna Dietz and Steffen
               H{\"{o}}lldobler},
  title     = {A Computational Logic Approach to the Belief Bias Effect},
  editor    = {Chitta Baral and Giuseppe De Giacomo and Thomas Eiter},
  booktitle = {14th International Conference on Principles of Knowledge
               Representation and Reasoning, {KR} 2014, Vienna, Austria, July
               20-24, 2014},
  publisher = {AAAI Press},
  year      = {2014}
}