Editors:
- Reports on biologically inspired approaches to replicate human mind function
- Bridges together artificial intelligence, cognitive, neuro- and social sciences
- Addresses the topic of “biological inspiration" broadly, highlighting its application to cognitive robotics and machine learning
Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 848)
Conference series link(s): BICA: Biologically Inspired Cognitive Architectures Meeting
Conference proceedings info: BICA 2018.
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (47 papers)
-
Front Matter
About this book
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.
Keywords
- Human-like Intelligence
- Text Modeling
- Emotion Detection
- Coordinating Gestures Of Humanoids
- Autopoietic Intelligent Systems
- Artificial General Intelligence
- Analysis of Human Cognition
- Physical Vs Nonphysical Knowledge
- Control Accuracy through BCI
- Metagraph Agents
- Application of Dependencies Parsing
- Semantic Cognitive Maps
- Q-Learning with Meta-cognition
- Anomaly Detection in Human Motion
- Application of Hierarchical Temporal Memory
- Emotionally-intelligent Creative Assistant
- Virtual Patient Model
- Neuro-fuzzy Inference Systems
- Predictive Analytics for IOT
- Mapping Brain Function
Editors and Affiliations
-
Department of Cybernetics, National Research Nuclear University “MEPhI”, Moscow, Russia
Alexei V. Samsonovich
Bibliographic Information
Book Title: Biologically Inspired Cognitive Architectures 2018
Book Subtitle: Proceedings of the Ninth Annual Meeting of the BICA Society
Editors: Alexei V. Samsonovich
Series Title: Advances in Intelligent Systems and Computing
DOI: https://doi.org/10.1007/978-3-319-99316-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Softcover ISBN: 978-3-319-99315-7Published: 25 August 2018
eBook ISBN: 978-3-319-99316-4Published: 23 August 2018
Series ISSN: 2194-5357
Series E-ISSN: 2194-5365
Edition Number: 1
Number of Pages: XV, 362
Number of Illustrations: 135 b/w illustrations
Topics: Computational Intelligence, Artificial Intelligence, Neurosciences, Cognitive Psychology, Biometrics