Li briefly outlines three generations of intelligence research over the past 100 years with attention to the origins and limitations of early investigations and the resulting confusion and disagreement in modern reinterpretations of the findings. He discerns an emerging consensus among scholars and researchers that intelligence should be considered primarily as a product of thinking and learning. To find the essence of how thinking is possible and what learning is, Li investigates theory and research in cognitive psychology, developmental linguistics, animal behavior, and many other related disciplines. He proposes the notion of conceptual intelligence, i.e., human intelligence, as a result of thinking and learning through concepts. Li traces how the human species created concepts, and how conceptual thinking and conceptual learning make the human species intelligent and creative. There is nothing mysterious, intuitive, or innate about it. Our past thinking and learning has created the intelligence of today and will continue to create our intelligence in the future. How to think deeper and learn better are the difficult questions for us now as we consciously venture into new arenas of problem-solving and cognition.

Multiple intelligences (MI) as a cognitive psychology theory has significantly influenced learning and teaching. Research has demonstrated a strong association between individual intelligences and their cognitive processes and behaviors. However, it remains unknown how each of or a combination of these intelligences can be effectively optimized through instructional intervention, particularly through the use of emerging learning technology. On the other hand, while efforts have been made to unveil the relationship between information and communication technology (ICT) and individual learner performance, there is a lack of knowledge in how MI theory may guide the use of ICTs to enhance learning opportunities for students. Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities is an essential reference book that generates new knowledge about how ICTs can be utilized to promote MI in various formal and informal learning settings. Featuring a range of topics such as augmented reality, learning analytics, and mobile learning, this book is ideal for teachers, instructional designers, curriculum developers, ICT specialists, educational professionals, administrators, instructors, academicians, and researchers.

Within cognitive science, two approaches currently dominate the problem of modeling representations. The symbolic approach views cognition as computation involving symbolic manipulation. Connectionism, a special case of associationism, models associations using artificial neuron networks. Peter Gärdenfors offers his theory of conceptual representations as a bridge between the symbolic and connectionist approaches. Symbolic representation is particularly weak at modeling concept learning, which is paramount for understanding many cognitive phenomena. Concept learning is closely tied to the notion of similarity, which is also poorly served by the symbolic approach. Gärdenfors's theory of conceptual spaces presents a framework for representing information on the conceptual level. A conceptual space is built up from geometrical structures based on a number of quality dimensions. The main applications of the theory are on the constructive side of cognitive science: as a constructive model the theory can be applied to the development of artificial systems capable of solving cognitive tasks. Gärdenfors also shows how conceptual spaces can serve as an explanatory framework for a number of empirical theories, in particular those concerning concept formation, induction, and semantics. His aim is to present a coherent research program that can be used as a basis for more detailed investigations.

Creativity and Artificial Intelligence: A Conceptual Blending Approach takes readers into a computationally plausible model of creativity. Inspired by a thorough analysis of work on creativity from the areas of philosophy, psychology, cognitive science, cognitive linguistics and artificial intelligence, the author deals with the various processes, principles and representations that lie underneath the act of creativity. Focusing on Arthur Koestler's Bisociations, which eventually lead to Turner and Fauconnier's conceptual blending framework, the book proposes a theoretical model that considers blends and their emergent structure as a fundamental cognitive mechanism. The author thus discusses the computational implementation of several aspects of conceptual blending theory, namely composition, completion, elaboration, frames and optimality constraints. Informal descriptions and examples are supplied to provide non-computer scientists as well as non-cognitive linguists with clear insights into these ideas. Several experiments are made, and their results are discussed, with particular emphasis on the validation of the creativity and conceptual blending aspects. Written by a researcher with a background in artificial intelligence, the book is the result of several years of exploration and discussion from different theoretical perspectives. As a result, the book echoes some of the criticism made on conceptual blending and creativity in artificial intelligence, and thus proposes improvements in both areas, with the aim of being a constructive contribution to these very intriguing, yet appealing, research orientations.

In this path-breaking work, Paul Thagard draws on the history and philosophy of science, cognitive psychology, and the field of artificial intelligence to develop a theory of conceptual change capable of accounting for all major scientific revolutions. The history of science contains dramatic episodes of revolutionary change in which whole systems of concepts have been replaced by new systems. Thagard provides a new and comprehensive perspective on the transformation of scientific conceptual systems. Thagard examines the Copernican and the Darwinian revolutions and the emergence of Newton's mechanics, Lavoisier's oxygen theory, Einstein's theory of relativity, quantum theory, and the geological theory of plate tectonics. He discusses the psychological mechanisms by which new concepts and links between them are formed, and advances a computational theory of explanatory coherence to show how new theories can be judged to be superior to previous ones.

The study of concepts has advanced dramatically in recent years, with exciting new findings and theoretical developments. Core concepts have been investigated in greater depth and new lines of inquiry have blossomed, with researchers from an ever broader range of disciplines making important contributions. In this volume, leading philosophers and cognitive scientists offer original essays that present the state-of-the-art in the study of concepts. These essays, all commissioned for this book, do not merely present the usual surveys and overviews; rather, they offer the latest work on concepts by a diverse group of theorists as well as discussions of the ideas that should guide research over the next decade.

Numerous functions, cognitive skills, and behaviors are associated with intelligence, yet decades of research has yielded little consensus on its definition. Emerging from often conflicting studies is the provocative idea that intelligence evolved as an adaptation humans needed to keep up with – and survive in – challenging new environments. The Handbook of Intelligence addresses a broad range of issues relating to our cognitive and linguistic past. It is the first full-length volume to place intelligence in an evolutionary/cultural framework, tracing the development of the human mind, exploring differences between humans and other primates, and addressing human thinking and reasoning about its own intelligence and its uses. The works of pioneering thinkers – from Plato to Darwin, Binet to Piaget, Luria to Weachsler – are referenced to illustrate major events in the evolution of theories of intelligence, leading to the current era of multiple intelligences and special education programs. In addition, it examines evolutionary concepts in areas as diverse as creativity, culture, neurocognition, emotional intelligence, and assessment. Featured topics include: The evolution of the human brain from matter to mind Social competition and the evolution of fluid intelligence Multiple intelligences in the new age of thinking Intelligence as a malleable construct From traditional IQ to second-generation intelligence tests The evolution of intelligence, including implications for educational programming and policy. The Handbook of Intelligence is an essential resource for researchers, graduate students, clinicians, and professionals in developmental psychology; assessment, testing and evaluation; language philosophy; personality and social psychology; sociology; and developmental biology.

Computing Methodologies -- Artificial Intelligence.

New in paperback-- A transformative book on the way we think about the nature of concepts and the relations between language and thought.

Our ability to speak, write, understand speech and read is critical to our ability to function in today's society. As such, psycholinguistics, or the study of how humans learn and use language, is a central topic in cognitive science. This comprehensive handbook is a collection of chapters written not by practitioners in the field, who can summarize the work going on around them, but by trailblazers from a wide array of subfields, who have been shaping the field of psycholinguistics over the last decade. Some topics discussed include how children learn language, how average adults understand and produce language, how language is represented in the brain, how brain-damaged individuals perform in terms of their language abilities and computer-based models of language and meaning. This is required reading for advanced researchers, graduate students and upper-level undergraduates who are interested in the recent developments and the future of psycholinguistics.