Application of a model to paired-associate learning
From MaRDI portal
Publication:2626635
DOI10.1007/BF02289796zbMath0121.37201OpenAlexW2044737013MaRDI QIDQ2626635
Publication date: 1961
Published in: Psychometrika (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02289796
Related Items (28)
Application of a model to paired-associate learning ⋮ An all-or-none model for noncorrection routines with elimination of incorrect responses ⋮ Optimal stimulus presentation strategy for a stimulus sampling model of learning ⋮ A comparison of paired-associate learning models having different acquisition and retention axioms ⋮ Markovian interpretations of dual retrieval processes ⋮ Reformulating Markovian processes for learning and memory from a hazard function framework ⋮ Population states and eigenstructures: A simplifying view of Markov learning models ⋮ Phase-oscillator computations as neural models of stimulus-response conditioning and response selection ⋮ A Bayesian Dilemma ⋮ Presolution performance functions for Markov models ⋮ Individual differences and the all-or-none vs incremental learning controversy ⋮ Some targets for mathematical psychology ⋮ Equivalence classes of functions of finite Markov chains ⋮ Second responses in paired-associate learning ⋮ Derivation of learning process statistics for a general Markov model ⋮ Markovian processes with identifiable states: General considerations and application to all-or-none learning ⋮ Point estimation in learning models ⋮ Theorems for a finite sequence from a two-state, first-order Markov chain with stationary transition probabilities ⋮ Incremental learning on random trials ⋮ Paired-associate learning with short-term retention: Mathematical analysis and data regarding identification of parameters ⋮ Derivations of learning statistics from absorbing Markov chains ⋮ An all-or-none theory for learning on both the paired-associate and concept levels ⋮ Statistical methods for a general theory of all-or-none learning ⋮ Reinforcement-test intervals in paired-associate learning ⋮ Stochastic processes and the Guttman simplex ⋮ A statistical method for investigating the perceptual confusions among geometric configurations ⋮ Generality of a strength model for three conditions of repeated recall ⋮ Formal requirements of Markov state models for paired associate learning
Cites Work
This page was built for publication: Application of a model to paired-associate learning
