-ine the generality of the model and use it to illuminate phenomena in a wide variety of domains. Finally, we place the model in its broadest context and examine its implications for our understand-ing of motivational and personality processes. The task for investigators of motivation and personality is to identify

, latency, or cost cliffs.The Origin system consists of up to 512 nodes interconnected by a scalable Craylink network. Each node consists of one or two RlOOOO processors, up to 4 GB of coherent memory, and a connection to a portion of the X I0 10 subsystem. This paper discusses the motivation for building

) formulate a unified model that integrates elements across the eight models, and (4) empirically validate the unified model. The eight models reviewed are the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behavior, a model combining the technology

Current psychological theory and research affirm the positive affective and motivational consequences of having personal choice. These findings have led to the popular notion that the more choice, the better--that the human ability omanage, and the human desire for, choice isunlimited. Findings

of PLOC and to motivation. A second project examines 3 reason categories (external, introject, and identification) within the domain of prosoeial behavior. Relations with measures of empathy, moral judgment, and positive interpersonal relatedness are presented. Finally, the proposed model

There has been increased research interest in systems composed of multiple autonomous mobile robots exhibiting collective behavior. Groups of mobile robots are constructed, with an aim to studying such issues as group architecture, resource conflict, origin of cooperation, learning, and geometric

which we call quiver varieties, and study their geometric structures. They have close relation to the singularity theory and the representation theory of the Kac-Moody algebras. Our original motivation was to study solutions of the anti-self-dual Yang-

, this enriched representation has not yet shown its superiority over the BOV. In the first part we show that with several well-motivated modifications over the original framework we can boost the accuracy of the FK. On PASCAL VOC 2007 we increase the Average Precision (AP) from 47.9% to 58.3%. Similarly, we

Discourse Representation Theory (DRT) was originally designed as a principled method to cope with two related problems: The fact that inter-sentential and intra-sentential pronouns seem to call for two entirely different types of explanation, and a well-known problem in connection

directly measures the true discrepancy between data and the posited model, for any aspect of the model which we want to explore. The computation required for the realized discrepancy assessment is a straightforward byproduct of the posterior simulation used for the original Bayesian analysis. We illustrate