Can humain association norm evaluate latent semantic analysis?

This paper presents the comparison of word association norm created by a psycholinguistic experiment to association lists generated by algorithms operating on text corpora. We compare lists generated by Church and Hanks algorithm and lists generated by LSA algorithm. An argument is presented on how those automatically generated lists reflect real semantic relations

Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009

Artificial General Intelligence (AGI) research focuses on the original and ultimate goal of AI – to create broad human-like and transhuman intelligence, by exploring all available paths, including theoretical and experimental computer science, cognitive science, neuroscience, and innovative interdisciplinary methodologies. Due to the difficulty of this task, for the last few decades the majority of AI researchers have focused on what has been called narrow AI – the production of AI systems displaying intelligence regarding specific, highly constrained tasks. In recent years, however, more and more researchers have recognized the necessity – and feasibility – of returning to the original goals of the field. Increasingly, there is a call for a transition back to confronting the more difficult issues of human level intelligence and more broadly artificial general intelligence

Multimodal Literacy in School Science

This book establishes a new theoretical and practical framework for multimodal disciplinary literacy (MDL) fused with the subject-specific science pedagogies of senior high school biology, chemistry and physics. It builds a compatible alignment of multiple representation and representation construction approaches to science pedagogy with the social semiotic, systemic functional linguistic-based approaches to explicit teaching of disciplinary literacy. The early part of the book explicates the transdisciplinary negotiated theoretical underpinning of the MDL framework, followed by the research-informed repertoire of learning experiences that are then articulated into a comprehensive framework of options for the planning of classroom work. Practical adoption and adaptation of the framework in biology, chemistry and physics classrooms are detailed in separate chapters. The latter chapters indicate the impact of the collaborative research on teachers' professional learning and students’ multimodal disciplinary literacy engagement, concluding with proposals for accommodating emerging developments in MDL in an ever-changing digital communication world. The MDL framework is designed to enable teachers to develop all students' disciplinary literacy competencies. This book will be of interest to researchers, teacher educators and postgraduate students in the field of science education. It will also have appeal to those in literacy education and social semiotics