Generalization, similarity, and Bayesian inference
Dados Bibliográficos
| ID | 23315877 |
|---|---|
| Autores | Joshua B Tenenbaum (0000-0002-1925-2035, Stanford Medicine), Thomas L Griffiths (0000-0002-5138-7255, Stanford University) |
| Ano | 2001 |
| Volume | 24 |
| Fascículo | 4 |
| Páginas | 629-640 |
| Data de publicação | 2001-08-01 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Behavioral and Brain Sciences (JOURNAL) |
| Identificadores do periódico | ISSN: 0140-525X • E-ISSN: 1469-1825 |
| Editora | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s0140525x01000061 |
| PMID | 12048947 |
| OpenAlex | W2027796863 |
| Idioma | EN |
| Citações recebidas | 85 |
| Referências citadas | 5 |
Shepard has argued that a universal law should govern generalization across different domains of perception and cognition, as well as across organisms from different species or even different planets. Starting with some basic assumptions about natural kinds, he derived an exponential decay function as the form of the universal generalization gradient, which accords strikingly well with a wide range of empirical data. However, his original formulation applied only to the ideal case of generalization from a single encountered stimulus to a single novel stimulus, and for stimuli that can be represented as points in a continuous metric psychological space. Here we recast Shepard's theory in a more general Bayesian framework and show how this naturally extends his approach to the more realistic situation of generalizing from multiple consequential stimuli with arbitrary representational structure. Our framework also subsumes a version of Tversky's set-theoretic model of similarity, which is conventionally thought of as the primary alternative to Shepard's continuous metric space model of similarity and generalization. This unification allows us not only to draw deep parallels between the set-theoretic and spatial approaches, but also to significantly advance the explanatory power of set-theoretic models.
Bayesian probability · Cognitive science · Generalization · Inference · Unification · Artificial Intelligence · Cognitive Science and Education Research · Cognitive Science and Mapping · Computer Science · Mathematics · Psychology · Theoretical Computer Science
Analogy in Grammar
Conceptual Spaces and the Consequences of Category Spanning
The role of indirect positive evidence in syntactic acquisition
The role of indirect positive evidence in syntactic acquisition
Negative knowledge from positive evidence
Can phonological universals be emergent
Word learning as Bayesian inference
How the Bayesians got their beliefs (and what those beliefs actually are)
Sources of developmental change in the efficiency of information search
What Does It Mean to Span Cultural Boundaries? Variety and Atypicality in Cultural Consumption
The Oxford Handbook of Vowel Harmony
Analogy in grammar
Mathematical Psychology
Acquiring and processing verb argument structure
Robust speech perception
Shortlist B
Topics in semantic representation.
The misunderstood limits of folk science
How to Grow a Mind
Parts and wholes
Probabilistic models of cognition
The Neural Basis of Decision Making
Optimal Predictions in Everyday Cognition
Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition
Explaining Color Term Typology With an Evolutionary Model
Evaluating Cognitive Models With Permutation Testing
A Pragmatic Account of the Weak Evidence Effect
Refining the Bayesian Approach to Unifying Generalisation
If Mathematical Psychology Did Not Exist We Might Need to Invent It
Poverty of the Stimulus Without Tears
Beyond authenticity
Precise/not precise (PNP)
Perceptual variability
Logical word learning
Exemplifying “Us”
Gradual syntactic triggering
Adjectival subcategorization in child-directed speech
Japanese children’s knowledge of the locality of zibun and kare
What’s in a name? A large-scale computational study on how competition between names affects naming variation
In defense of epicycles
Same but Different
Evaluating recall error in preschoolers
Evidence for abstract representations in children but not capuchin monkeys
An instance-based model account of the benefits of varied practice in visuomotor skill
Finding structure in multi-armed bandits
Featural relations in concept learning and generalization
The intuitive conceptualization and perception of variance
Similarity-induced interference or facilitation in language production reflects representation, not selection
Rational learners and parochial norms
How can I find what I want? Can children, chimpanzees and capuchin monkeys form abstract representations to guide their behavior in a sampling task
Modeling regularization in language acquisition as noise-tolerant grammar selection
The Boolean Language of Thought is recoverable from learning data
Testimony and observation of statistical evidence interact in adults' and children's category-based induction
Changing your mind about the data
The Political Domain Appears Simpler to the Politically Extreme Than to Political Moderates
How Nature Meets Nurture
Measuring Memberships in Collectives in Light of Developments in Cognitive Science and Natural-Language Processing
Constructions on holiday
Welcome to the Real World
Monolingual and bilingual children’s performance learning words from ostensive teaching
Learning and Liking an Artificial Musical System
There is a simplicity bias when generalising from ambiguous data
Unbounded circumambient patterns in segmental phonology
Piaget, Probability, Causality, and Contradiction
Generalization of rejection and acceptance in social networks
Language Evolution by Iterated Learning With Bayesian Agents
Against the elimination of similarity
Abstract Rule Learning for Visual Sequences in 8‐ and 11‐Month‐Olds
Expectations About Single Event Probabilities in the First Year of Life
Social influence effects on food valuation generalize based on conceptual similarity
Generalization to Novel Consonants
Natural concepts
Recognizing why vision is inferential
Making AI meaningful again
Implications of an Exemplar-Theoretic Model of Phoneme Genesis
Introduction to the Special Issue
A Cognitive-Structural Sociological Account of the Emergence of Novel Worlds
Teaching Recombinable Motifs Through Simple Examples
Bayesians Commit the Gambler's Fallacy
Network Diffusion Under Homophily and Consolidation as a Mechanism for Social Inequality
The Social Origins of Networks and Diffusion
Rational arbitration between statistics and rules in human sequence processing
Rational use of cognitive resources in human planning
Biased evaluations emerge from inferring hidden causes
Deletion or epenthesis? On the falsifiability of phonological universals
| Obras citantes distintas | 85 |
|---|---|
| Citações por ano | 3,54 |
| Intervalo de citações | 2002 - 2026 (25) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 75 |