There are multiple sorts of reasoning by analogy between two domains; the one with which we are concerned is a type of contextual analogy. The purpose of this paper is to see whether two domains that look analogous would be…

AbstractObjectiveThe last two decades have seen major advancements in our understanding of some of the most common neurodevelopmental disorders in the field of child neurology. However, in the majority of individual patients, it is still not possible to arrive at…

Siemens and Downes initially received increasing attention in the blogosphere in 2005 when they discussed their ideas concerning distributed knowledge. An extended discourse has ensued in and around the status of ‘connectivism’ as a learning theory for the digital age.…

Mixing upper level undergraduates majoring in engineering with those majoring in biology, we have devised a course on biologically-inspired design (BID) that provides practical training in methods and techniques that facilitate the identification and translation of biological principles into solutions…

ABSTRACTApplication of renewal process most commonly requires the knowledge of the mean value function and the variance function. In this study, Xie's RS method (1) is adapted to the computation of the variance function for the both ordinary and stationary…

This paper is based on the analysis of job advertisements by Turkish furniture companies that appeared in main daily newspapers in Turkey between April 1998 and May 2002. During this period, a total of 204 advertisements for different positions in…

Novelty is a concept of great importance in the writing of a research paper, given that the author has to persuade the audience of the news value of the reported research, which makes it worth publishing. In this paper I…

Apart from speculating about a series of issues open to debate, such as the dark side of progress and globalization or the conflict between science and morality,
Margaret Atwood's Oryx and Crake (2003) offers a feasible insight into the state…

The ability of building robust semantic space representations of environments is crucial for the development of truly autonomous robots. This task, inherently connected with cognition, is traditionally achieved by training the robot with a supervised learning phase. We argue that…

This paper presents a proposal enabling the modelling of manufacturing processes independently of the structure and composition of the industrial plant where these processes will ultimately be implemented. The rationale for the proposal is in the incorporation of knowledge, supported…