Creation and maintenance of competencies is one of the most strategic activities in organizations, especially in knowledge intensive ones, as is the case of consulting companies. The role of core competencies in making a company achieve competitive advantage has been widely investigated in (Hamel and Prahalad, 1990). Other studies (Gronau and Uslar, 2004) show that the return on investment is s...

To learn to read is to acquire a visual language skill that systematically maps onto extant spoken language skills. Some children perform this task quite adeptly, while others encounter much difficulty, and it has become a question of both scientific and practical merit to ask why there exists such a range of success in learning to read. Obviously, learning to read places a complex burden on ma...

While the need for hierarchies within control systems is apparent, it is also clear to many researchers that such hierarchies should be learned. Learning both the structure and the component behaviors is a diicult task. The beneet of learning the hierarchical structures of behaviors is that the decomposition of the control structure into smaller transportable chunks allows previously learned kn...

Starting from the standard call-by-need reduction for the λ-calculus that is common to Ariola, Felleisen, Maraist, Odersky, and Wadler, we inter-derive a series of hygienic semantic artifacts: a reductionfree stateless abstract machine, a continuation-passing evaluation function, and what appears to be the first heapless natural semantics for call-by-need evaluation. Furthermore we observe that...

We aimed to disentangle contributions of socio-pragmatic and structural language deficits to narrative competence by comparing the narratives of children with autism spectrum disorder (ASD; n = 25), non-autistic children with language impairments (LI; n = 23), and children with typical development (TD; n = 27). Groups were matched for age (6½ to 15 years; mean: 10;6) and non-verbal ability; ASD...

In this paper we1 introduce our novel method for utilizing web mining and semantic categories for determining automatically if a given act is worth praising or not. We report how existing lexicons used in affective analysis and ethical judgement can be combined for generating useful queries for knowledge retrieval from a 5.5 billion word blog corpus. We also present how semantic categorization ...