arXiv Open Access 2026

A Rational Account of Categorization Based on Information Theory

Christophe J. MacLellan Karthik Singaravadivelan Xin Lian Zekun Wang Pat Langley

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Abstrak

We present a new theory of categorization based on an information-theoretic rational analysis. To evaluate this theory, we investigate how well it can account for key findings from classic categorization experiments conducted by Hayes-Roth and Hayes-Roth (1977), Medin and Schaffer (1978), and Smith and Minda (1998). We find that it explains the human categorization behavior at least as well (or better) than the independent cue and context models (Medin & Schaffer, 1978), the rational model of categorization (Anderson, 1991), and a hierarchical Dirichlet process model (Griffiths et al., 2007).

Topik & Kata Kunci

cs.AI cs.IT cs.LG

Penulis (5)

Christophe J. MacLellan

Karthik Singaravadivelan

Xin Lian

Zekun Wang

Pat Langley

Format Sitasi

APA MLA BibTeX

MacLellan, C.J., Singaravadivelan, K., Lian, X., Wang, Z., Langley, P. (2026). A Rational Account of Categorization Based on Information Theory. https://arxiv.org/abs/2603.29895

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓