Objects, parts, and categories.
Abstract
Concepts may be organized into taxonomies varying in inclusiveness or abstraction, such as furniture, table, card table or animal, bird, robin. For taxonomies of common objects and organisms, the basic level, the level of table and bird, has been determined to be most informative (Rosch, Mervis, Gray, Johnson, & Boyes-Braem, 1976). Psychology, linguistics, and anthropology have produced a variety of measures of perception, behavior, and communication that converge on the basic level. Here, we present data showing that the basic level differs qualitatively from other levels in taxonomies of objects and of living things and present an explanation for why so many measures converge at that level. We have found that part terms proliferate in subjects' listings of attributes characterizing category members at the basic level, but are rarely listed at a general level. At a more specific level, fewer parts are listed, though more are judged to be true. Basic level objects are distinguished from one another by parts, but members of subordinate categories share parts and differ from one another on other attributes. Informants agree on the parts of objects, and also on relative "goodness" of the various parts. Perceptual salience and functional significance both appear to contribute to perceived part goodness. Names of parts frequently enjoy a duality not evident in names of other attributes; they refer at once to a particular appearance and to a particular function. We propose that part configuration underlies the various empirical operations of perception, behavior, and communication that converge at the basic level. Part configuration underlies the perceptual measures because it determines the shapes of objects to a large degree. Parts underlie the behavioral tasks because most of our behaviors is indirect toward parts of objects. Labeling appears to follow the natural breaks of perception and behavior; consequently, part configuration also underlies communication measures. Because elements of more abstract taxonomies, such as scenes and events, can also be decomposed into parts, this analysis provides a bridge to organization in other domains of knowledge. Knowledge organization by parts (partonomy) is contrasted to organization by kinds (taxonomy). Taxonomies serve to organize numerous classes of entities and to allow inference from larger sets to sets included in them. Partonomies serve to separate entities into their structural components and to organize knowledge of function by components of structure. The informativeness of the basic level may originate from the availability of inference from structure to function at that level.
Cites (2)
- Logic and ConversationGrice, H. P. · 1975 · Speech Acts
- Basic objects in natural categoriesRosch, Eleanor, Mervis, Carolyn B, Gray, Wayne D, Johnson, David M, Boyes-Braem, Penny · 1976 · Cognitive Psychology
Cited by (35)
- Perceptual symbol systemsBarsalou, Lawrence W. · 1999 · Behavioral and Brain Sciences
- Recognition-by-components: A theory of human image understanding.Biederman, Irving · 1987 · Psychological Review
- Dimensions of Consumer ExpertiseAlba, Joseph W., Hutchinson, J. Wesley · 1987 · Journal of Consumer Research
- Building machines that learn and think like peopleLake, Brenden M., Ullman, Tomer D., Tenenbaum, Joshua B., Gershman, Samuel J. · 2017 · Behavioral and Brain Sciences
- Children's use of mutual exclusivity to constrain the meanings of wordsMarkman, Ellen M, Wachtel, Gwyn F · 1988 · Cognitive Psychology
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Objects, parts, and categories. https://app.cochat.ai/papers/10.1037//0096-3445.113.2.169
- The paper
- Tversky, B., & Hemenway, K. (1984). Objects, parts, and categories. Journal of Experimental Psychology General. https://doi.org/10.1037//0096-3445.113.2.169
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.