For many years, an abstract, amodal semantic magnitude representation, largely independent of verbal linguistic representations, has been viewed as the core numerical or mathematical representation This assumption has been substantially challenged in recent years. Linguistic properties affect not only verbal representations of numbers,but also numerical magnitude representation, spatial magnitude representations, calculation, parity representation, place-value representation and even early number acquisition. Thus, we postulate that numerical and arithmetic processing are not fully independent of linguistic processing. This is not to say, that in patients, magnitude processing cannot function independently of linguistic processing we just suppose, these functions are connected in the functioning brain. So far, much research about linguistic influences on numerical cognition has simply demonstrated that language influences number without investigating the level at which a particular language influence operates. After an overview, we present new findings on language influences on seven language levels: - Conceptual: Conceptual properties of language - Syntactic: The grammatical structure of languages beyond the word level influences - Semantic: The semantic meaning or existence of words - Lexical: The lexical composition of words, in particular number words - Visuo-spatial-orthographic: Orthographic properties, such as the writing/reading direction of a language. - Phonological: Phonological/phonetic properties of languages - Other language-related skills: Verbal working memory and other cognitive skills related to language representations We hope that this book provides a new and structured overview on the exciting influences of linguistic processing on numerical cognition at almost all levels of language processing.

This volume explores the essential issues involved in bringing phenomenology together with the cognitive sciences, and provides some examples of research located at the intersection of these disciplines. The topics addressed here cover a lot of ground, including questions about naturalizing phenomenology, the precise methods of phenomenology and how they can be used in the empirical cognitive sciences, specific analyses of perception, attention, emotion, imagination, embodied movement, action and agency, representation and cognition, inters- jectivity, language and metaphor. In addition there are chapters that focus on empirical experiments involving psychophysics, perception, and neuro- and psychopathologies. The idea that phenomenology, understood as a philosophical approach taken by thinkers like Husserl, Heidegger, Sartre, Merleau-Ponty, and others, can offer a positive contribution to the cognitive sciences is a relatively recent idea. Prior to the 1990s, phenomenology was employed in a critique of the first wave of cognitivist and computational approaches to the mind (see Dreyfus 1972). What some consider a second wave in cognitive science, with emphasis on connectionism and neuros- ence, opened up possibilities for phenomenological intervention in a more positive way, resulting in proposals like neurophenomenology (Varela 1996). Thus, bra- imaging technologies can turn to phenomenological insights to guide experimen- tion (see, e. g. , Jack and Roepstorff 2003; Gallagher and Zahavi 2008).

First Published in 2008. Routledge is an imprint of Taylor & Francis, an informa company.

This book constitutes the refereed proceedings of the 7th International Conference on Quantum Interaction, QI 2013, held in Leicester, UK, in July 2013. The 31 papers presented in this book were carefully selected from numerous submissions. The papers cover various topics on quantum interaction and revolve around four themes: information processing/retrieval/semantic representation and logic; cognition and decision making; finance/economics and social structures and biological systems.

In our digital era, harnessing innovations and emerging technologies to support teaching and learning has been an important research area in the field of education around the world. In science/STEM education, technologies can be leveraged to present and visualize scientific theories and concepts effectively, while the development of pedagogic innovations usually requires collective, inter-disciplinary research efforts. In addition, emerging technologies can better support teachers to assess students’ learning performance in STEM subjects and offer students viable virtual environments to facilitate laboratory-based learning, thereby contributing to sustainable development in both K-12 and higher education.

This monograph gives a complete overview of the techniques and the methods for semantics-aware content representation and shows how to apply such techniques in various use cases, such as recommender systems, user profiling and social media analysis. Throughout the book, the authors provide an extensive analysis of the techniques currently proposed in the literature and cover all the available tools and libraries to implement and exploit such methodologies in real-world scenarios. The book first introduces the problem of information overload and the reasons why content-based information needs to be taken into account. Next, the basics of Natural Language Processing are provided, by describing operations such as tokenization, stopword removal, lemmatization, stemming, part-of-speech tagging, along with the main problems and issues. Finally, the book describes the different approaches for semantics-aware content representation: such approaches are split into ‘exogenous’ and ‘endogenous’ ones, depending on whether external knowledge sources as DBpedia or geometrical models and distributional semantics are used, respectively. To conclude, several successful use cases and an extensive list of available tools and resources to implement the approaches are shown. Semantics in Adaptive and Personalised Systems definitely fills the gap between the extensive literature on content-based recommender systems, natural language processing, and the different types of semantics-aware representations.

Since the 1970s the cognitive sciences have offered multidisciplinary ways of understanding the mind and cognition. The MIT Encyclopedia of the Cognitive Sciences (MITECS) is a landmark, comprehensive reference work that represents the methodological and theoretical diversity of this changing field. At the core of the encyclopedia are 471 concise entries, from Acquisition and Adaptationism to Wundt and X-bar Theory. Each article, written by a leading researcher in the field, provides an accessible introduction to an important concept in the cognitive sciences, as well as references or further readings. Six extended essays, which collectively serve as a roadmap to the articles, provide overviews of each of six major areas of cognitive science: Philosophy; Psychology; Neurosciences; Computational Intelligence; Linguistics and Language; and Culture, Cognition, and Evolution. For both students and researchers, MITECS will be an indispensable guide to the current state of the cognitive sciences.