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Biologically Inspired Cognitive Architectures 2018

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Cover of 'Biologically Inspired Cognitive Architectures 2018'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications
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    Chapter 2 NarRob: A Humanoid Social Storyteller with Emotional Expression Capabilities
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    Chapter 3 The Cortical Conductor Theory: Towards Addressing Consciousness in AI Models
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    Chapter 4 Meta-Engineering: A Methodology to Achieve Autopoiesis in Intelligent Systems
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    Chapter 5 BICA à rebours
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    Chapter 6 The Research of Distracting Factors Influence on Quality of Brain-Computer Interface Usage
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    Chapter 7 Metagraph Approach as a Data Model for Cognitive Architecture
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    Chapter 8 Intelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting
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    Chapter 9 Levels of Metacognition and Their Applicability to Reinforcement Learning
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    Chapter 10 Extended Hierarchical Temporal Memory for Motion Anomaly Detection
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    Chapter 11 Experimental Model of Study of Consciousness at the Awakening: FMRI, EEG and Behavioral Methods
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    Chapter 12 A Temporal-Causal Modeling Approach to the Dynamics of a Burnout and the Role of Physical Exercise
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    Chapter 13 Adaptive Neuro-Fuzzy Inference System Used to Classify the Measurements of Chemical Sensors
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    Chapter 14 Association Rules Mining for Predictive Analytics in IoT Cloud System
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    Chapter 15 Visual Priming in a Biologically Inspired Cognitive Architecture
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    Chapter 16 Neural 2D Cart and Pole Control and Forward Model
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    Chapter 17 A Formal Model of the Mechanism of Semantic Analysis in the Brain
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    Chapter 18 Group Determination of Parameters and Training with Noise Addition: Joint Application to Improve the Resilience of the Neural Network Solution of a Model Inverse Problem to Noise in Data
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    Chapter 19 A Computational Model for Supporting Access Policies to Semantic Web
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    Chapter 20 Basic Language Learning in Artificial Animals
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    Chapter 21 The Concept of Functional Tractography Method for Cognitive Brain Studies
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    Chapter 22 Feasibility Study and Practical Applications Using Independent Core Observer Model AGI Systems for Behavioral Modification in Recalcitrant Populations
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    Chapter 23 Web-Analytics Based on Fuzzy Cognitive Maps
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    Chapter 24 Information Approach in the Problems of Data Processing and Analysis of Cognitive Experiments
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    Chapter 25 Network Modeling Environment for Supporting Families of Displaced Concepts
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    Chapter 26 Designing an Emotionally-Intelligent Assistant of a Virtual Dance Creator
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    Chapter 27 The Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality
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    Chapter 28 Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments
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    Chapter 29 Heterogeneous Proxytypes Extended: Integrating Theory-Like Representations and Mechanisms with Prototypes and Exemplars
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    Chapter 30 On Stable Profit Sharing Reinforcement Learning with Expected Failure Probability
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    Chapter 31 Neocortical Functional Hierarchy Estimated from Connectomic Morphology in the Mouse Brain
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    Chapter 32 Function Map-Driven Development for AGI
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    Chapter 33 Scruff: A Deep Probabilistic Cognitive Architecture for Predictive Processing
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    Chapter 34 The Method for Searching Emotional Content in Images Based on Low-Level Parameters with Using Neural Networks
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    Chapter 35 Intelligent Planning and Control of Integrated Expert Systems Development Process
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    Chapter 36 An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture
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    Chapter 37 An Intrinsically Motivated Robot Explores Non-reward Environments with Output Arbitration
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    Chapter 38 A Strategic Management System Based on Systemic Learning Algorithm
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    Chapter 39 Genetically Evolved Extreme Learning Machine for Letter Recognition Dataset
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    Chapter 40 Toward Human-Like Sentence Interpretation—a Syntactic Parser Implemented as a Restricted Quasi Bayesian Network—
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    Chapter 41 Research of Neurocognitive Mechanisms of Revealing of the Information Concealing by the Person
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    Chapter 42 Encrypted Data Transmission Over an Open Channel
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    Chapter 43 Analysis of Gaze Behaviors in Virtual Environments for Cooperative Pattern Modeling
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    Chapter 44 A Consideration of the Pathogenesis of DID from a Robot Science Perspective
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    Chapter 45 Data Enrichment with Provision of Semantic Stability
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    Chapter 46 Causality Reconstruction by an Autonomous Agent
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    Chapter 47 Analyzing Motivating Texts for Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems
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Title
Biologically Inspired Cognitive Architectures 2018
Published by
Springer International Publishing, November 2018
DOI 10.1007/978-3-319-99316-4
ISBNs
978-3-31-999315-7, 978-3-31-999316-4
Editors

Samsonovich, Alexei V.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Unknown 1 50%
Readers by discipline Count As %
Arts and Humanities 1 50%
Unknown 1 50%