A quantum probability perspective on borderline vagueness


Autoria(s): Blutner, Reinhard; Pothos, Emmanuel M.; Bruza, Peter
Data(s)

2013

Resumo

The term “vagueness” describes a property of natural concepts, which normally have fuzzy boundaries, admit borderline cases, and are susceptible to Zeno’s sorites paradox. We will discuss the psychology of vagueness, especially experiments investigating the judgment of borderline cases and contradictions. In the theoretical part, we will propose a probabilistic model that describes the quantitative characteristics of the experimental finding and extends Alxatib’s and Pelletier’s (2011) theoretical analysis. The model is based on a Hopfield network for predicting truth values. Powerful as this classical perspective is, we show that it falls short of providing an adequate coverage of the relevant empirical results. In the final part, we will argue that a substan- tial modification of the analysis put forward by Alxatib and Pelletier and its probabilistic pendant is needed. The proposed modification replaces the standard notion of probabilities by quantum probabilities. The crucial phenomenon of borderline contradictions can be explained then as a quantum interference phenomenon.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/54019/

Publicador

Wiley-Blackwell Publishing, Inc.

Relação

http://eprints.qut.edu.au/54019/3/Quantifying_vagueness_final.pdf

DOI:10.1111/tops.12041

Blutner, Reinhard, Pothos, Emmanuel M., & Bruza, Peter (2013) A quantum probability perspective on borderline vagueness. Topics in Cognitive Science, 5(4), pp. 711-736.

http://purl.org/au-research/grants/ARC/DP1094974

Direitos

Copyright 2013 Cognitive Science Society, Inc

Fonte

Institute for Future Environments; Information Systems; Science & Engineering Faculty

Palavras-Chave #170202 Decision Making #170204 Linguistic Processes (incl. Speech Production and Comprehension) #Borderline contradictions; Contextualism; Fuzzy logic; Neuronal network; Quantum interference; Quantum probability; Vagueness
Tipo

Journal Article