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Research from the neurosciences and behavioural sciences highlights the importance of individual differences in explaining human behaviour. Individual differences in core psychological constructs, such as intelligence or personality, account for meaningful variations in a vast range of responses and behaviours. Aspects of chess have been increasingly used in the past to evaluate a myriad of psychological theories, and several of these studies consider individual differences to be key constructs in their respective fields. This book summarizes the research surrounding the psychology of chess from an individual- differences perspective. The findings accumulated from nearly forty years' worth of research about chess and individual differences are brought together to show what is known - and still unknown - about the psychology of chess, with an emphasis on how people differ from one another.

Chess --- Individual differences. --- Pattern perception. --- Board games --- Mathematical recreations --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Differences, Individual --- Difference (Psychology) --- Psychological aspects. --- Social aspects.

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Pattern perception. --- Neural networks (Computer science) --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation. .

Optical data processing. --- Application software. --- Machine learning. --- Pattern recognition. --- Special purpose computers. --- Image Processing and Computer Vision. --- Computer Appl. in Social and Behavioral Sciences. --- Machine Learning. --- Pattern Recognition. --- Special Purpose and Application-Based Systems. --- Special purpose computers --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Learning, Machine --- Artificial intelligence --- Machine theory --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Optical equipment --- Computer vision

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The two-volume set CCIS 1332 and 1333 constitutes thoroughly refereed contributions presented at the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020.* For ICONIP 2020 a total of 378 papers was carefully reviewed and selected for publication out of 618 submissions. The 191 papers included in this volume set were organized in topical sections as follows: data mining; healthcare analytics-improving healthcare outcomes using big data analytics; human activity recognition; image processing and computer vision; natural language processing; recommender systems; the 13th international workshop on artificial intelligence and cybersecurity; computational intelligence; machine learning; neural network models; robotics and control; and time series analysis. * The conference was held virtually due to the COVID-19 pandemic.

Pattern recognition. --- Application software. --- Artificial intelligence. --- Computers. --- Pattern Recognition. --- Computer Applications. --- Artificial Intelligence. --- Information Systems and Communication Service. --- Computing Milieux. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- AI (Artificial intelligence) --- Artificial thinking --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Neural networks (Computer science)

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This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.

Artificial intelligence. --- Machine learning. --- Pattern perception. --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Learning, Machine --- Artificial intelligence --- Machine theory --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Multiagent systems. --- Pattern recognition systems. --- Artificial Intelligence. --- Machine Learning. --- Multiagent Systems. --- Automated Pattern Recognition. --- Pattern classification systems --- Pattern recognition computers --- Pattern perception --- Computer vision --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software)