Emotion in the Common Model of Cognition

Emotions play an important role in human cognition and therefore need to be present in the Common Model of Cognition. In this paper, the emotion working group focuses on functional aspects of emotions and describes what we believe are the points of interactions with the Common Model of Cognition. The present paper should not be viewed as a consensus of the group but rather as a first attempt to extract common and divergent aspects of different models of emotions and how they relate to the Common Model of Cognition

Decision support systems for large dam planning and operation in Africa

Decision support systems/ Dams/ Planning/ Operations/ Social impact/ Environmental effects

Taxonomy of synchronization and barrier as a basic mechanism for building other synchronization from it

A Distributed Shared Memory(DSM) system consists of several computers that share a memory area and has no global clock. Therefore, an ordering of events in the system is necessary. Synchronization is a mechanism for coordinating activities between processes, which are program instantiations in a system

Use of Research Evidence: Social Services Portfolio

The William T. Grant Foundation intends that the emerging research evidence from its Use of Research Evidence (URE) portfolio be useful to those engaged in these (and other) diverse efforts. But broad and meaningful use of research evidence will require conversations that extend beyond researchers and expert forums. Indeed, URE findings suggest that policymakers and practitioners should not be viewed simply as "end users" of research evidence. To provide insight into how URE studies and the resulting evidence could be most relevant and useful to them, policymakers and practitioners at all levels in the social services system must have a voice in these conversations. This paper is intended to foster and inform dialogue among researchers, policymakers, and practitioners by reflecting on the Foundation's social services URE portfolio from the perspective of policy and practice and by identifying potential opportunities for the next generation of studies and considerations for those undertaking that work

Computational intelligence approaches to robotics, automation, and control [Volume guest editors]

No abstract available