Gender Differences in Rape Reporting

This paper compares male and female rapereporting behavior. Participants from National Crime andVictimization Survey data (90% female, 10% male) aremuch like victims of other violent crimes (25%non-white, higher than average unemployment, young, andunmarried). The data indicate that the situationalcharacteristics of rape, and factors that influence arape reporting decision, differ by sex. Whereas men fail to report rape when it jeopardizes theirmasculine self-identity, women fail to report rape whenthe rape does not fit the classic stereotypical rapesituation. Women reported victimization more frequently than did men. It is asserted that furthercomparative research on rape reporting behaviorutilizing qualitative methods is needed in order tofully understand rape victimization for bothsexes.     

Pancultural Gender Stereotypes Revisited: The Five Factor Model

Williams and Best's (1982, 1990a) cross-culturalgender stereotype data from 25 countries, previouslyanalyzed in terms of affective meanings, ego states, andpsychological needs, were re-analyzed in terms of the Five Factor Model (FFM) of personality.In each country, participants were approximately 100university students, equally divided by gender. Withresults averaged across all countries, it was found that the pancultural male stereotype was higherthan the pancultural female stereotype on Extraversion,Conscientiousness, Emotional Stability, and Openness toExperience while the pancultural female stereotype was higher on Agreeableness. Re-analysis of thestereotype data from Japan and Pakistan, which had beenfound relatively atypical in previous analyses, revealedFFM profiles generally similar to the pancultural profiles. The evaluative nature of each factoris discussed and related to the stereotypes associalization models.     

Knowledge level learning and the power law: A soar model of skill acquisition in scheduling

Zusammenfassung. Das hier vorgestellte Modell lernt graduell, Planungsaufgaben aus der Klasse der Maschinenbelegungsprobleme (job-shop-scheduling problems) zu lösen. Mit Hilfe des Chunking-Mechanismus von Soar wird episodisches Wissen über die Belegungsreihenfolge von Aufträgen auf Maschinen memoriert. Bei der Entwicklung des Modells wurden zahlreiche qualitative (z. B. Transfereffekte) und quantitative Befunde (z. B. Bearbeitungszeiten) aus einer früheren empirischen Untersuchung berücksichtigt. In einer Validierungsstudie wurden dieselben Aufgaben von 14 Probanden und dem Modell bearbeitet. Die Passung von Simulationsdaten und empirischen Ergebnissen fiel insgesamt gut aus. Allerdings löst das Modell die Aufgaben schneller und zeigt auch einen etwas besseren Lernverlauf als die Probanden. Das Modell liefert eine Erklärung für das Rauschen, das typischerweise bei Bearbeitungszeiten zu beobachten ist: es handelt sich um erworbenes Wissen, das mehr oder weniger gut und auch unterschiedlich häufig auf neue Situationen übertragen wird. Der Lernverlauf der Probanden entspricht nur für aggregierte Daten einer Potenzfunktion (power law). Der vorgestellte Mechanismus zeigt, wie ein symbolisches Modell der Informationsverarbeitung graduelle Verhaltensänderungen generiert und wie der offensichtliche Erwerb allgemeiner Prozeduren ohne explizites Lernen von deklarativen Regeln erfolgen kann. Es wird nahegelegt, daß es sich hier um die Modellierung einer Form impliziten Lernens handelt. Summary. The model presented here gradually learns how to perform a job-shop scheduling task. It uses Soar's chunking mechanism to acquire episodic memories about the order to schedule jobs. The model was based on many qualitative (e.g., transfer effects) and quantitative (e.g., solution time) regularities found in previously collected data. The model was tested with new data where scheduling tasks were given to the model and to 14 subjects. The model generally fit these data with the restrictions that the model performs the task (in simulated time) faster than the subjects, and its performance improves somewhat more quickly than the subjects' performance. The model provides an explanation of the noise typically found in problem solving times - it is the result of learning actual pieces of knowledge that transfer more or less to new situations but rarely by an average amount. Only when the data are averaged (i.e., over subjects) does the smooth power law appear. This mechanism demonstrates how symbolic models can exhibit a gradual change in behavior and how the apparent acquisition of general procedures can be performed without resorting to explicit declarative rule generation. We suggest that this may represent a type of implicit learning.     

The puzzle of language evolution

Linguistics must again concentrate on the evolutionary nature of language, so that language models are more realistic with respect to human natural languages and have a greater explanatory force. Multi-agent systems are proposed as a possible route to develop such evolutionary models and an example is given of a concrete experiment in the origins and evolution of word-meaning based on a multi-agent approach.     

Applying Utilization Management Principles to a Comprehensive Service System for Children with Emotional and Behavioral Disorders and Their Families: A Feasibility Study

The Comprehensive Services Act for At Risk Youth and Families of Virginia (CSA), is a service, funding, and organizational reform initiative designed to improve the provision of child centered and family focused services within a community setting. We conducted this study in order to assess the feasibility of applying utilization management principles to the CSA in order to improve the appropriateness, quality, and cost effectiveness of this service delivery system. Data were gathered through focus groups, surveys, clinical profiling, and analysis of costs, and service utilization. While overall program costs increased since inception of the program, the costs per child served rose less than the rate of inflation. CSA appeared to be serving children with a high degree of emotional and behavioral difficulties. There was considerable variation among localities in placement patterns. A majority of survey and focus group respondents were willing to consider the application of utilization management principles to the CSA as long as decision making remained within localities. We concluded that there is a constructive role for utilization management approaches to improve the appropriateness and quality of services as well as enhancing efficiency in child mental health.     

Training requirements and retention characteristics of serial list organization by macaque monkeys

This work evaluated the prospect that organizational accounts of the retention of list information by monkeys might be an artifact of familiarity with conditional relationships. Seven sophisticated macaques were trained on four five-item lists. Each acquisition selectively excluded one of the internal conditional pairs of the typical four-problem sequence (AB,BC,CD,DE) that defines a five-item serially ordered list. Then, all possible novel pairings and the trained pairs appeared together in a test. After this, the previously omitted pair was trained and animals were retested. On all tasks, initial tests revealed little organization and much intersubject variability of characteristic choice strategies, but subsequent inclusion of all four conditional pairs always yielded organized serial choice. On both the four-problem tests and in a later retention, errors were directly related to interitem distance between the objects paired on test trials. These results helped to specify the conditions required for demonstration of non-human primate analogs of transitivity, and showed that even sophisticated monkeys organize information in retention only if they know all interitem relationships. Received: 7 October 1998 / Accepted after revision: 10 October 1999     

Remote delivery of cognitive science laboratories: A solution for small disciplines in large countries

Numerically small disciplines can be jeopardized by geographic difficulties, if student populations at universities are small and distances between them large. This problem could be addressed, if teaching resources could be shared among several universities and students in several locations could be taught simultaneously. We present the results of a trial in simultaneous Internet and videoconferencing delivery of an introductory cognitive science laboratory. The trial relied on off-the-shelf software and hardware. Students found the delivery nearly as effective as a locally run laboratory, despite a noticeable difference in the level of interactivity between the remote and other, local laboratory classes. We discuss possible further improvements in teaching efficiency and efficacy.