Although we represent other people in terms of both what they look like and how they behave, these two aspects of person knowledge have rarely been studied together. While vision scientists have focused on the processing of faces and bodies,…

Following the deaths of Victoria Climbié and of Peter Connelly (Baby P) the media has raged about social work competence, the public have expressed dismay and the government has responded with proposals designed to alter practice procedures. Altering procedures gives…

We describe an adaptation of the knowledge gradient, originally developed for discrete ranking and selection problems, to the problem of calibrating continuous parameters for the purpose of tuning a simulator. The knowledge gradient for continuous parameters uses a continuous approximation…

Amidst the disintegration of the Qing Empire (1644-1911), men and women in China began to understand their differences in terms of modern scientific knowledge. Why Sex Mattered provides an explanation for the relatively recent emergence of a psycho-biological notion of…

Current theories of physics cognition require specification of complex mechanisms for explaining knowledge acquisition. I demonstrate that a quantitative model of physics perception can be constructed by assuming that physics problem perception provides an optimal summary of a set of…

The use of concepts underlies the most basic cognitive processes. Consequently, psychologists have long been interested in understanding the behavioral and neural correlates of conceptual knowledge and its manipulation. This has led to a rich set of research results that…

Cloud Agile Manufacturing is a new paradigm proposed in this article. The main objective of Cloud Agile Manufacturing is to offer industrial production systems as a service. Thus users can access any functionality available in the cloud of manufacturing (process…

In the restricted single-machine common due date problem the goal is to find a schedule for the n jobs which jointly minimizes the sum of earliness and tardiness penalties, while for the weighted tardiness problem the goal is to find…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…

Knowledge representation models are very important in the design of intelligent agents because they provide with mechanisms to manage beliefs and their dynamics. In this paper, we propose the use of AnsProlog* as a knowledge representation language, and develop a…