The authors report a new theory of false memory building upon existing associative memory models and implemented in fSAM, the first fully specified quantitative model of false recall. Participants frequently intrude unstudied critical words while recalling lists comprising their strongest semantic associates but infrequently produce other…

The present model outlines the mechanisms underlying habitual control of responding and the ways in which habits interface with goals. Habits emerge from the gradual learning of associations between responses and the features of performance contexts that have historically covaried with them (e.g., physical settings, preceding actions). Once a…

N. Stewart, G. D. A. Brown, and N. Chater presented a relative judgment model (RJM) of absolute identification, in which the current stimulus is judged relative to the preceding stimulus. S. Brown, A. A. J. Marley, and Y. Lacouture found that the RJM does not predict their finding of increased accuracy after large stimulus jumps, except at the…

The focus of this article was with the general question of how stimuli are established as signals or acquire associative strength, and no distinction being made between classical and instrumental experiments. (Author/RK)

B. B. Murdock (2006; see record 2006-08257-009) has interpreted remember-know data within a decision space defined by item and associative information, the fundamental variables in his general recognition memory model TODAM (B. B. Murdock, 1982). He has related parameters of this extended model to stimulus characteristics for several classic…

A theory for storage and retrieval of associative information is presented. Items or events are represented as random vectors. Convolution is used as the storage operation, correlation as the retrieval operation. A distributed memory system is assumed. The theory applies to recognition and recall and covers both accuracy and latency. (Author/RD)

A general theory of retrieval from long-term memory which combines features of associative network models and random search models is presented. It posits cue-dependent probabilistic sampling and recovery from an associative network, but the network is specified as a retrieval structure rather than a storage structure. (Author/JKS)

The role of acetylcholine and central catecholamines in modulating aversively motivated behaviors, and behavior following exposure to uncontrollable stressors, is evaluated. (Editor)

Information processing research offers a solution to the ambiguity of many concepts in cognitive psychology. The author's definition of intelligence and the structure-of-intellect model offer a systematic collection of rigorously and operationally defined concepts. New evidence for discriminability of the model categories and views of memory and…

An associative theory of memory is proposed to serve as a counterexample to claims that dissociations among episodic, semantic, and procedural memory tasks necessitate separate memory systems. The theory is based on task analyses of matching (recognition and familiarity judgments), retrieval (cued recall), and production (free association). (TJH)

Results of investigations into associative priming are summarized and the relative strengths of spreading activation and nonspreading activation theories of priming are assessed. The explanatory power of spreading-activation theories is at least as great as that of nonspreading-activation theories. (SLD)

Teacher praise typically does not function as a reinforcer. Rather, it is reactive to and under the control of student behavior. Its effects must be understood using concepts from attribution and social learning/reinforcement theories. (Author/GK)

The relationship between recognition and recall, especially the orderly recognition-failure function relating recognition and the recognizability of recallable words, was investigated using a composite holographic associative recall-recognition memory model (CHARM) in 10 series of computer simulations. Support for the model is demonstrated. (SLD)

An extension to Murdock's Theory of Distributed Associative Memory, based on associative chaining between items, is presented. The extended theory is applied to several serial order phenomena, including serial list learning, delayed recall effects, partial report effects, and buildup and release from proactive interference. (TJH)

This article presents an extended version of the convolution-correlation memory model TODAM (theory of distributed associative memory) that eliminates some inadequacies of previous versions and provides a unified treatment of item, associative, and serial-order information. TODAM2 extends the chunking model to provide a general model for episodic…