College students from two universities performed a sorting task with taxonomic categories. Sorting norms for both subject groups and hierarchical relations among the categories were determined and compared.Human memory is often thought of as a multitude of associatively related units. Accessibility to any unit is supposedly provided by a somewhat well-defined and permanent semantic organization. Several theoretical accounts have emphasized the hierarchical character of this organizational process (Bousfield & Cohen, 1953;Collins & Quillian, 1969;Mandler, 1968). According to these approaches, subordinate units are related through a superordinate, and lower order superordinates are linked through a higher order superordinate.The purpose of this study was to gather normative data bearing on the hierarchical organization of semantic memory. A procedure described by Miller (1969) was used to determine the hierarchical scheme among units. Obtaining information from students of two college campuses promised to broaden the generality and usefulness of the findings.
METHOD SubjectsOne-hundred and forty-seven Marshall University (MU) undergraduates and 95 Ohio State University (OSU) undergraduates participated in this study while enrolled in an introductory psychology course.
MaterialsThe 56 category names used by Battig and Montague (1969) were typed separately on index
Abstract. Context-aware applications can sense and explore the users' context in order to provide proper and useful services to these users. These applications can react intelligently upon changes in the user's context, performing actions relevant to the user, the application itself, and the interaction between user and application. Context-aware reactive behaviors can be expressed by using rules written in a Domain-specific Language, coined ECA-DL, specially developed for context-aware applications. This paper proposes support for the development of a generic component capable of executing rules written using ECA-DL. This component executes these rules by using Jess, which is a wellknown tool for developing rule-based systems.
Most reported MDA approaches give much attention to structural aspects in PSMs and in generated code, and less attention to the PIM level and the behaviour of the modelled applications. Consequently, application behaviour is generally not (well) defined at the PIM level. This paper presents an MDAbased approach that incorporates behaviour modelling at the PIM level in the development of a specific category of applications, i.e., context-aware mobile applications. The paper also illustrates a behaviour model transformation realized by using Medini QVT, which is a tool that implements the Query/ View/ Transformation (QVT) Relations specification defined by OMG for model-tomodel transformations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.