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Biologically Inspired Cognitive Architectures 2018 -

Biologically Inspired Cognitive Architectures 2018

Proceedings of the Ninth Annual Meeting of the BICA Society

Alexei V. Samsonovich (Herausgeber)

Buch | Softcover
XV, 362 Seiten
2018 | 1st ed. 2019
Springer International Publishing (Verlag)
978-3-319-99315-7 (ISBN)
CHF 269,60 inkl. MwSt
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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, from classical artificial intelligence to linguistics, from neuro- and social sciences to design and creativity, among others. The chapters, based on contributions presented  at the Ninth Annual Meeting of the BICA Society, held in on August 23-24, 2018, in Prague, Czech Republic, discuss 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. All in all, the book 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. 

Erscheinungsdatum
Reihe/Serie Advances in Intelligent Systems and Computing
Zusatzinfo XV, 362 p. 135 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 574 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften Biologie Humanbiologie
Technik
Schlagworte Analysis of Human Cognition • Anomaly Detection in Human Motion • Application of Dependencies Parsing • Application of Hierarchical Temporal Memory • artificial general intelligence • Autopoietic Intelligent Systems • Control Accuracy through BCI • Coordinating Gestures Of Humanoids • Emotionally-intelligent Creative Assistant • emotion detection • Human-like Intelligence • Mapping Brain Function • Metagraph Agents • Neuro-fuzzy Inference Systems • Physical Vs Nonphysical Knowledge • Predictive Analytics for IOT • Q-Learning with Meta-cognition • Semantic Cognitive Maps • Text Modeling • Virtual Patient Model
ISBN-10 3-319-99315-1 / 3319993151
ISBN-13 978-3-319-99315-7 / 9783319993157
Zustand Neuware
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