A fundamental assumption of the causal graphical model framework is the Markov assumption, which posits that learners can discriminate between two events that are dependent because of a direct causal relation between them and two events that are independent conditional on the value of another event(s). Sobel and Kirkham (2006) demonstrated that 8-month-old infants registered conditional indepen...

Associative activation is commonly assumed to rely on associative strength, such that if A is strongly associated with B, B is activated whenever A is activated. We challenged this assumption by examining whether the activation of associations is state dependent. In three experiments, subjects performed a free-association task while the level of a simultaneous load was manipulated in various wa...

The fan effect (Anderson, 1974) has been attributed to interference among competing associations to a concept. Recently, it has been suggested that such effects might be due to multiple mental models (Radvansky, Spieler, & Zacks, 1993) or suppression of concepts (Anderson & Spellman, 1995; Conway & Engle, 1994). We show that the ACT-R (Adaptive Control of Thought-Rational) theory, which embodie...

The fuzzy morphological associative memories (FMAM) have many attractive advantages, but their recall effects for hetero associative memories are poor. This shortcoming impedes the application of hetero-FMAM. Aiming at the problem, and inspired by the unified framework of morphological associative memories, a new method called no rounding reverse fuzzy morphological associative memories (NRFMAM...

The domain-specific track evaluates retrieval models for structured scientific bibliographic collections in English, German and Russian. Documents contain textual elements (title, abstracts) as well as subject keywords from controlled vocabularies, which can be used in query expansion and bilingual translation. Mappings between the different controlled vocabularies are provided. This year, new ...

The capacity of Bidirectional associative memory (BAM) was examined a lot in research, but not completely. In particular, this issue was not investigated in the context of strings coding. In this paper we apply different approaches to estimate the capacity of BAM for strings coding. One of these approaches is recalling of all coded strings. Another is applying Hamming and Levenshtein distances ...

Micro data is a valuable source of information for research. However, publishing data about individuals for research purposes, without revealing sensitive information, is an important problem. The main objective of privacy preserving data mining algorithms is to obtain accurate results/rules by analyzing the maximum possible amount of data without unintended information disclosure. Data sets fo...

The association between drugs and crime in the public mind is so strong that a recent psychology experiment showed the word “drug” tightly linked to such words as “choke,” “knife,” “fight,” and “wound” in participants’ associative memory networks (Bushman, 1996). Although it is routine in academia to deride public ignorance of all things criminological, in this case the public is hardly deluded...

In five experiments, we extended the production effect-better memory for items said aloud than for items read silently-to paired-associate learning, the goal being to explore whether production enhances associative information in addition to enhancing item information. In Experiments 1 and 2, we used a semantic-relatedness task in addition to the production manipulation and found no evidence of...

Repetition priming (RP) is a form of learning, whereby classification or identification performance is improved with item repetition. Various theories have been proposed to understand the basis of RP, including alterations in the representation of an object and associative stimulus-response bindings. There remain several aspects of RP that are still poorly understood, and it is unclear whether ...