The infant's acquisition of knowledge of bimodally specified events

Four-month-old infants viewed, for a duration of several minutes, two objects that bounced in synchrony with two percussion sounds. This synchrony was the only information tying each sound to its respective object. During the viewing the infants learned about the relationships between sound and object. Learning was revealed in two ways. In a search test, infants looked for an object when its sound was played. In a transfer test, infants' declining interest in a sound presented alone generalized to the visible object that the sound specified. Studies that reversed the spatial locations of the objects revealed that sound-object learning, rather than place or response learning, guided infants' perceptual exploration.     

A moving average model for sequenced reaction-time data

Reaction times are often collected in order to study the durations of hypothesized subprocesses. In many important cases, reaction times are collected for a sequence of tasks in which the processing for one task is a subset of the processing required for the next in the sequence. Data of this sort have been analyzed by multiple-regression methods. Here we propose a more sophisticated moving average model for such data. We show that ordinary multiple-regression methods produce estimates that are consistent, but not efficient, and that the usual R² statistic may provide a misleading impression of goodness of fit. One consequence of the suggested statistical model is that it allows the same quantity of data to be used to fit a psychological model to a larger range of tasks.     

The word order problem in agrammatism : II. Production

This study demonstrates that agrammatic aphasics have difficulty describing relations that are signified by the order of noun phrases around verbs or prepositions. The word order deficit is found in a Sentence Order Task, in which written words must be arranged linearly to form a sentence, as well as in oral production. Ordering tendencies reflect factors like animacy or potency, rather than the systematic use of syntactic rules. These results point to a fundamental syntactic disorder in agrammatism.     

Some types of stability in the study of students' work values

It is suggested the concept of “stability” in the study of work values has at least three facets: (1) hierarchical stability, (2) response pattern stability, and (3) factor stability. These three facets are investigated using a sample of 165 Australian students, assessed using a work values list initially in Grade 12 and then $\text{2}\text{1}\text{2}$ years later during which time all had engaged in full-time tertiary study. Of the 13 work values assessed only independence and intellectual stimulation increased in importance and surroundings decreased. Canonical correlation analysis revealed four significant response patterns which indicated that the same work value may sometimes be stable or changeable in combination with other work values. It was also found using factor analysis that two rotated principal components appeared stable over time. They were identified as an Intellectual Concern factor and People Concern factor. An Extrinsic Concern factor for subjects as high school students was found to differentiate into a Status/Power Concern factor and a Co-workers Concern factor by the time of the second assessment. A Freedom Concern factor found in the Grade 12 assessment was not discovered until $\text{2}\text{1}\text{2}$ years later. The results confirm the need for further theoretical and methodological refinement of the notion of stability in the study of work values.     

The Psychodynamic Assumptions of the U.S. Constitution

The U.S. Constitution is a blueprint for the design of a government which reflects the consistent application of an understanding of the emotions and interests driving the political activity of individuals and groups. This understanding is articulated in the writings of key proponents of the Constitution, and clarified by its historical and philosophical context. Their theories are congruent with psychoanalytic perspectives on narcissism, leadership, group dynamics, and the role of transitional space in cultural life. The concept of interests, reformulated in psychoanalytic terms, is a useful addition to our understanding of political behavior.     

Primary obsessional slowness: a nursing treatment programme with a 13-year-old male adolescent

A 13-year-old male adolescent inpatient with a 5-year history of primary obsessional slowness was treated using a nursing intervention programme involving prompting, pacing and shaping, or participant modelling of four types of self-care behaviour. The treatments produced an immediate increase in response rate of three of the four behaviour targets. Treatment gains were not maintained during the gradual fading of the intervention programme. Possible reasons for failure to achieve treatment maintenance are discussed in light of the literature on primary obsessional slowness.     

A learning algorithm for boltzmann machines

The computational power of massively parallel networks of simple processing elements resides in the communication bandwidth provided by the hardware connections between elements. These connections can allow a significant fraction of the knowledge of the system to be applied to an instance of a problem in a very short time. One kind of computation for which massively parallel networks appear to be well suited is large constraint satisfaction searches, but to use the connections efficiently two conditions must be met: First, a search technique that is suitable for parallel networks must be found. Second, there must be some way of choosing internal representations which allow the preexisting hardware connections to be used efficiently for encoding the constraints in the domain being searched. We describe a general parallel search method, based on statistical mechanics, and we show how it leads to a general learning rule for modifying the connection strengths so as to incorporate knowledge about a task domain in an efficient way. We describe some simple examples in which the learning algorithm creates internal representations that are demonstrably the most efficient way of using the preexisting connectivity structure.