A New Intelligence
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Artificial Intelligence and Big Data
Author: Fernando Iafrate
language: en
Publisher: John Wiley & Sons
Release Date: 2018-03-27
With the idea of “deep learning” having now become the key to this new generation of solutions, major technological players in the business intelligence sector have taken an interest in the application of Big Data. In this book, the author explores the recent technological advances associated with digitized data flows, which have recently opened up new horizons for AI. The reader will gain insight into some of the areas of application of Big Data in AI, including robotics, home automation, health, security, image recognition and natural language processing.
Intelligence
The concept and measurement of intelligence present a curious paradox. On the one hand, scientists, fluent in the complex statistics of intelligence-testing theories, devote their lives to exploration of cognitive abilities. On the other hand, the media, and inexpert, cross-disciplinary scientists decry the effort as socially divisive and useless in practice. In the past decade, our understanding of testing has radically changed. Better selected samples have extended evidence on the role of heredity and environment in intelligence. There is new evidence on biology and behavior. Advances in molecular genetics have enabled us to discover DMA markers which can identify and isolate a gene for simple genetic traits, paving the way for the study of multiple gene traits, such as intelligence. Hans Eysenck believes these recent developments approximate a general paradigm which could form the basis for future research. He explores the many special abilities verbal, numerical, visuo-spatial memory that contribute to our cognitive behavior. He examines pathbreaking work on "multiple" intelligence, and the notion of "social" or "practical" intelligence and considers whether these new ideas have any scientific meaning. Eysenck also includes a study of creativity and intuition as well as the production of works of art and science identifying special factors that interact with general intelligence to produce predictable effects in the actual world. The work that Hans Eysenck has put together over the last fifty years in research into individual differences constitutes most of what anyone means by the structure and biological basis of personality and intelligence. A giant in the field of psychology, Eysenck almost single-handedly restructured and reordered his profession. Intelligence is Eysenck's final book and the third in a series of his works from Transaction.
The Structure of Intelligence
Author: Ben Goertzel
language: en
Publisher: Springer Science & Business Media
Release Date: 2013-03-07
0. 0 Psychology versus Complex Systems Science Over the last century, psychology has become much less of an art and much more of a science. Philosophical speculation is out; data collection is in. In many ways this has been a very positive trend. Cognitive science (Mandler, 1985) has given us scientific analyses of a variety of intelligent behaviors: short-term memory, language processing, vision processing, etc. And thanks to molecular psychology (Franklin, 1985), we now have a rudimentary understanding of the chemical processes underlying personality and mental illness. However, there is a growing feeling-particularly among non-psychologists (see e. g. Sommerhoff, 1990) - that, with the new emphasis on data collection, something important has been lost. Very little attention is paid to the question of how it all fits together. The early psychologists, and the classical philosophers of mind, were concerned with the general nature of mentality as much as with the mechanisms underlying specific phenomena. But the new, scientific psychology has made disappointingly little progress toward the resolution of these more general questions. One way to deal with this complaint is to dismiss the questions themselves. After all, one might argue, a scientific psychology cannot be expected to deal with fuzzy philosophical questions that probably have little empirical signifi cance. It is interesting that behaviorists and cognitive scientists tend to be in agreement regarding the question of the overall structure of the mind.