Biologically Inspired Cognitive Architectures 2018
Alexei V. Samsonovich (Hrsg.)
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Springer International Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Allgemeines, Lexika
Beschreibung
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.
Kundenbewertungen
Physical Vs Nonphysical Knowledge, Text Modeling, Emotion Detection, Analysis of Human Cognition, Q-Learning with Meta-cognition, Semantic Cognitive Maps, Virtual Patient Model, Predictive Analytics for IOT, Artificial General Intelligence, Application of Hierarchical Temporal Memory, Human-like Intelligence, Neuro-fuzzy Inference Systems, Anomaly Detection in Human Motion, Autopoietic Intelligent Systems, Emotionally-intelligent Creative Assistant, Coordinating Gestures Of Humanoids, Application of Dependencies Parsing, Metagraph Agents, Mapping Brain Function, Control Accuracy through BCI