Raising the Bar for Theories of Categorisation and Concept Learning: The Need to Resolve Five Basic Paradigmatic Tensions. Issue 5 (3rd September 2022)

• Record Type: Journal Article
• Authors: Vigo, Ronaldo; Wimsatt, Jay; Doan, Charles A.; Zeigler, Derek E.
• Is Part Of: Journal of experimental & theoretical artificial intelligence. Volume 34:Issue 5(2022)
• Page Start: 845
• Page End: 869
• Publication Date: 2022-09-03
• Subjects: Cognitive science foundations -- concept learning -- topology of dimensions -- unsupervised learning -- contrast cues -- expertise; Artificial intelligence -- Periodicals; 006.3
• DOI: 10.1080/0952813X.2021.1928299
• Languages: English
• ISSNs: 0952-813X

Abstract

ABSTRACT: In the past two decades, human categorisation research has achieved significant progress via the rigorous and systematic study of concepts in terms of category structures and their families. The importance of these structure families stems from evidence suggesting that learning and categorisation performance are not only limited by low- and high-level generalisation mechanisms but by the inherent nature of the environmental and mental stimuli entertained by observers during the concept learning process. In this paper, we propose a new direction for concept learning and categorisation research based on several dual paradigmatic tensions that hinge on the inherent nature of the components of stimuli, limitations of the innate abilities of the observer to process such components, and the relationship between the two. The tensions range from the various possible properties and constraints of the dimensions underlying categories of object stimuli to various notions of supervised learning capable of significantly altering concept learnability. The substantial extant literature on concept learning research indicates that rigorous empirical investigations targeting these tensions are either non-existent or, at best, severely lacking despite their ecological significance. We shall argue that future theory building about concept learning should attempt to resolve these tensions and that without the proper empirical and theoretical focus on them, concept learning research will fail to achieve its ultimate goals anytime soon.