Family Resemblance: An Anthropologist Looks at Moroccan Documentary

Constructing and Deconstructing Concepts

Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie) ◽

10.1027/1618-3169/a000337 ◽

2016 ◽

Vol 63 (5) ◽

pp. 249-262 ◽

Cited By ~ 2

Author(s):

Charles A. Doan ◽

Ronaldo Vigo

Keyword(s):

Information Theory ◽

Model Performance ◽

Unsupervised Classification ◽

Family Resemblance ◽

Category Membership ◽

Formal Models ◽

Human Beings ◽

One Dimensional ◽

Relational Patterns ◽

Optimal Classification

Abstract. Several empirical investigations have explored whether observers prefer to sort sets of multidimensional stimuli into groups by employing one-dimensional or family-resemblance strategies. Although one-dimensional sorting strategies have been the prevalent finding for these unsupervised classification paradigms, several researchers have provided evidence that the choice of strategy may depend on the particular demands of the task. To account for this disparity, we propose that observers extract relational patterns from stimulus sets that facilitate the development of optimal classification strategies for relegating category membership. We conducted a novel constrained categorization experiment to empirically test this hypothesis by instructing participants to either add or remove objects from presented categorical stimuli. We employed generalized representational information theory (GRIT; Vigo, 2011b , 2013a , 2014 ) and its associated formal models to predict and explain how human beings chose to modify these categorical stimuli. Additionally, we compared model performance to predictions made by a leading prototypicality measure in the literature.

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Relation Between Perceptual and Informational Learning of Family Resemblance Structures

PsycEXTRA Dataset ◽

10.1037/e501882009-560 ◽

2000 ◽

Author(s):

Lee R. Brooks ◽

Sam Hannah

Keyword(s):

Family Resemblance

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Written age-of-acquisition effects reflect family resemblance in the lexical network

PsycEXTRA Dataset ◽

10.1037/e520562012-391 ◽

2009 ◽

Author(s):

Brendan S. Weekes

Keyword(s):

Age Of Acquisition ◽

Family Resemblance

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Early Moore against the Particular–Universal Distinction

10.1093/oso/9780198811251.003.0004 ◽

2018 ◽

Author(s):

Fraser MacBride

Keyword(s):

Family Resemblance ◽

Primary Role

This chapter argues that the early G.E. Moore went beyond realism and nominalism by advancing a form of categorial monism that was committed only to concepts, where concepts are the constituents of mind independent propositions but concepts are neither substances nor attributes. Moore’s outlook was a consequence of his doctrine that existential propositions have a primary role in constituting reality but lack subject–predicate form, the form of discourse required to articulate the notions of substance and attribute as Kant had done. Moore’s concepts have a family resemblance to Strawson’s features. The chapter concludes by addressing the (alleged) influence of Bradley and Brentano.

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4 Family Resemblance

Experiencing Pain ◽

10.1515/9783110688405-005 ◽

2020 ◽

pp. 125-160

Keyword(s):

Family Resemblance

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Transforming Family Resemblance Concepts into Fuzzy Sets

Sociological Methods & Research ◽

10.1177/0049124120986196 ◽

2021 ◽

pp. 004912412098619

Author(s):

Francesco Veri

Keyword(s):

Fuzzy Sets ◽

Set Theory ◽

Concept Formation ◽

Family Resemblance ◽

Prototype Theory ◽

Power Mean

This article aims to clarify fundamental aspects of the process of assigning fuzzy scores to conditions based on family resemblance (FR) structures by considering prototype and set theories. Prototype theory and set theory consider FR structures from two different angles. Specifically, set theory links the conceptualization of FR to the idea of sufficient and INUS (Insufficient but Necessary part of a condition, which is itself Unnecessary but Sufficient for the result) sets. In contrast, concept membership in prototype theory is strictly linked to the notion of similarity (or resemblance) in relation to the prototype, which is the anchor of the ideational content of the concept. After an introductive section where I elucidate set-theoretic and prototypical aspects of concept formation, I individuate the axiomatic properties that identify the principles of transforming FR structures into fuzzy sets. Finally, I propose an algorithm based on the power mean that is able to operationalize FR structures considering both set-theoretic and prototype theory perspectives.

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