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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Psychology --- cognitive processes --- collective creativity --- individual creativity --- cross-cultural --- insight problem solving

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This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems andphotonic reservoir computing, respectively. These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better understand the novel computing concepts of photonic neural networks with spatiotemporal dynamics.

Artificial intelligence. --- Neural networks (Computer science). --- Nonlinear Optics. --- Artificial Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks.

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The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disciplines, including artificial intelligence, linguistics, neuro- and social sciences, psychology and philosophy of mind, among others. The chapters are based on contributions presented at the 2023 Annual International Conference on Brain-Inspired Cognitive Architectures for Artificial Intelligence (the 14th Annual Meeting of the BICA Society, BICA*AI 2023), organized in collaboration with the University of Ningbo and held on October 13-15, 2023, in Ningbo, China. The book discusses emerging methods, theories and ideas towards the realization of general-purpose humanlike artificial intelligence or fostering a better understanding of the ways the human mind works. It provides engineers, mathematicians, psychologists, computer scientists and other experts with a timely snapshot of recent research and a source of inspiration for future developments in the broadly intended areas of artificial intelligence and biological inspiration.

Computational intelligence. --- Artificial intelligence. --- Neural networks (Computer science). --- Computational Intelligence. --- Artificial Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks.

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Computational intelligence consists of those techniques that imitate the human brain and nature to adopt the decision-making approach. This book contains selected papers from the 8th International Conference on Computers, Management and Mathematical Sciences (ICCM) 2022 about fuzzy systems, neural networks and evolutionary computation that can address stochastic environments where reasoning is a significant attribute to derive potential solutions and focus on the business domain's computational aspects. This is a conference proceedings for scholars/students who are using the powerful algorithms, concepts and principles of computational intelligence in a wide spectrum of research cases.

Mathematical statistics. --- Neural networks (Computer science). --- Computational intelligence. --- Mathematical Statistics. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Computational Intelligence. --- Intel·ligència computacional --- Science

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Das Lehrbuch Allgemeine Psychologie bietet einen umfassenden Einblick in zentrale Aspekte menschlichen Erlebens und Verhaltens. Hierbei stehen Prozesse und Mechanismen der psychischen Vorgänge im Vordergrund, welche aus kognitions- und neurowissenschaftlicher Perspektive betrachtet werden. Inhaltlich werden in diesem Standardwerk folgende wesentliche Themenbereiche dargestellt: 1. Wahrnehmung und Aufmerksamkeit 2. Emotion und Motivation 3. Lernen und Gedächtnis 4. Sprachproduktion und verstehen 5. Denken und Problemlösen 6. Handlungsplanung und ausführung Die Kapitel sind von Spezialisten des jeweiligen Gebietes geschrieben. Diese dritte Auflage wurde grundlegend aktualisiert und durch zusätzliche Kapitel zur multisensorischen Verarbeitung, zum logischen Denken, zu Urteilen und Entscheiden, zum motorischen Lernen und zu Embodied Cognition und Agency ergänzt. Die Inhalte werden nun durch konkrete Anwendungsbeispiele aus der Forschung für die Praxis und informative, farbige Illustrationen und ein didaktisch ausgereiftes Layout noch stärker veranschaulicht. Wie auch die ersten beiden Auflagen bietet diese Auflage eine kompetente Einführung für Studierende, die ideal ist zur Prüfungsvorbereitung im Bachelor und Masterstudium. Gleichzeitig ist dieses Werk ein optimales Nachschlagewerk für wissenschaftlich und praktisch arbeitende Psychologen und Personen benachbarter Disziplinen. Über www.lehrbuch-psychologie.de werden für Studierende und Dozenten hilfreiche Online-Zusatzmaterialien zur Verfügung gestellt. Zu den Herausgebern: Jochen Müsseler ist Professor für Arbeits und Kognitionspsychologie an der RWTH Aachen University. Martina Rieger ist Professorin für Allgemeine und Experimentelle Psychologie an der UMIT, Hall in Tirol.

Psychology. --- Learning. --- Instruction. --- Cognitive psychology. --- Neurosciences. --- Cognitive grammar. --- Neural networks (Computer science) . --- General Psychology. --- Learning & Instruction. --- Cognitive Psychology. --- Cognitive Linguistics. --- Mathematical Models of Cognitive Processes and Neural Networks.