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Biologically Inspired Cognitive Architectures 2019

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Cover of 'Biologically Inspired Cognitive Architectures 2019'

Table of Contents

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    Book Overview
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    Chapter 1 Narratological Formulation of Story-Form Memory Construction: Applying Genette’s Narrative Discourse Theory
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    Chapter 2 Story-Centric View on the Mind
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    Chapter 3 Biologically Inspired Physical Model of the Vocal Tract for the Tasks of Recognition of the Current Psycho-Emotional State of a Person
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    Chapter 4 Ontology-Based Modelling for Learning on Bloom’s Taxonomy Comprehension Level
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    Chapter 5 External Experimental Training Protocol for Teaching AGI/mASI Systems Effective Altruism
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    Chapter 6 Semantics Beyond Language
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    Chapter 7 Configurable Appraisal Dimensions for Computational Models of Emotions of Affective Agents
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    Chapter 8 Overview of Natural Language Processing Approaches in Modern Search Engines
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    Chapter 9 Experimental Platform Based on a Virtual Environment for Advanced Study of the Social Behavior of Actors
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    Chapter 10 Virtual Listener: Emotionally-Intelligent Assistant Based on a Cognitive Architecture
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    Chapter 11 Practical User and Entity Behavior Analytics Methods for Fraud Detection Systems in Online Banking: A Survey
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    Chapter 12 Significance of Emotional Context While Performing Semantic Tasks
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    Chapter 13 The Semantic Complex Event Processing Based on Metagraph Approach
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    Chapter 14 Deceptive Actions and Robot Collision Avoidance
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    Chapter 15 A Cognitive Architecture for a Transportation Robotic System
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    Chapter 16 Reconfigurable Locomotion of Hexapod Robot Based on Inverse Kinematics
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    Chapter 17 Development of Text Data Processing Pipeline for Scientific Systems
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    Chapter 18 Environment of Modeling Methods for Indicating Objects Based on Displaced Concepts
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    Chapter 19 Increasing of Semantic Sustainability in the Interaction of Information Processes
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    Chapter 20 Computational Model for Granulating of Objects in the Semantic Network to Enhance the Sustainability of Niche Concepts
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    Chapter 21 Metascience and Metacognition
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    Chapter 22 Dynamic Parameters of the Diffusion in Human Brain White Matter During Cognitive Tasks
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    Chapter 23 Preliminary Results and Analysis Independent Core Observer Model (ICOM) Cognitive Architecture in a Mediated Artificial Super Intelligence (mASI) System
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    Chapter 24 Independent Core Observer Model Research Program Assumption Codex
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    Chapter 25 Human Brain Computer/Machine Interface System Feasibility Study for Independent Core Observer Model Based Artificial General Intelligence Collective Intelligence Systems
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    Chapter 26 Preliminary Mediated Artificial Superintelligence Study, Experimental Framework, and Definitions for an Independent Core Observer Model Cognitive Architecture-Based System
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    Chapter 27 Development of an Optimal Production Plan Using Fuzzy Logic Tools
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    Chapter 28 Internet Users Authentication via Artificial Intelligence
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    Chapter 29 Biologically Inspired Algorithm for Increasing the Number of Artificial Neurons
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    Chapter 30 Analysis of the Possibility of the Neural Network Implementation of the Viola-Jones Algorithm
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    Chapter 31 Neurophysiological Correlators of Semantic Features
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    Chapter 32 Dynamics of Recognition of Properties in Diagnostics
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    Chapter 33 Functional Magnetic Resonance Imaging Augmented with Polygraph: New Capabilities
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    Chapter 34 Subjective Perception Space of Musical Passages
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    Chapter 35 Factographic Information Retrieval for Biological Objects
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    Chapter 36 Recognition Algorithm for Biological and Criminalistics Objects
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    Chapter 37 Cognitive Maps for Risk Estimation in Software Development Projects
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    Chapter 38 A Typicality-Based Knowledge Generation Framework
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    Chapter 39 Application of Variable-Valued Logic to Correct Pattern Recognition Algorithms
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    Chapter 40 Brain-Computer Interfaces for Controlling Unmanned Aerial Vehicles: Computational Tools for Cognitive Training
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    Chapter 41 Sparsified and Twisted Residual Autoencoders
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    Chapter 42 Developing Ontology of Properties and Its Methods of Use
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    Chapter 43 Development of Graph-Theoretical Model and Operations on Graph Representations of Ontologies as Applied to Information Retrieval Tasks
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    Chapter 44 An Automatic System for Learning and Dialogue Based on Assertions
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    Chapter 45 Inception and ResNet: Same Training, Same Features
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    Chapter 46 Multicriteria Approach to Control a Population of Robots to Find the Best Solutions
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    Chapter 47 Multi-agent Algorithm Imitating Formation of Phonemic Awareness
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    Chapter 48 A Simulation Model for the Cognitive Function of Static Objects Recognition Based on Machine-Learning Multi-agent Architectures
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    Chapter 49 Multi-agent Algorithms for Building Semantic Representations of Spatial Information in a Framework of Neurocognitive Architecture
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    Chapter 50 Emotional and Moral Impressions Associated with Buddhist Religious Terms in Japanese Blogs-Preliminary Analysis
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    Chapter 51 Application of Registration of Human Vegetative Reactions in the Process of Functional Magnetic Resonance Imaging
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    Chapter 52 A Review of Method and Approaches for Resting State fMRI Analyses
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    Chapter 53 Use of Cognitive Maps in Learning Management System Vector
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    Chapter 54 Automatically Estimating Meaning Ambiguity of Emoticons
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    Chapter 55 A VR-Based System and Architecture for Computational Modeling of Minds
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    Chapter 56 A Bioinspired Model of Decision Making Considering Spatial Attention for Goal-Driven Behaviour
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    Chapter 57 Psychological Theoretical Framework: A First Step for the Design of Artificial Emotion Systems in Autonomous Agents
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    Chapter 58 Using Metrics in the Analysis and Synthesis of Reliable Graphs
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    Chapter 59 Machine Learning Models for Measuring Syntax Complexity of English Text
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    Chapter 60 The TextMap General Purpose Visualization System: Core Mechanism and Case Study
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    Chapter 61 Subsymbolic Versus Symbolic Data Flow in the Meaningful-Based Cognitive Architecture
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    Chapter 62 Schizophrenia and the Future of Artificial Intelligence
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    Chapter 63 Emergence of Belief Systems and the Future of Artificial Intelligence
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    Chapter 64 Hierarchical Reinforcement Learning Approach for the Road Intersection Task
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    Chapter 65 Representation of Conceptual Dependencies in the Domain Description Code
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    Chapter 66 Consciousness and Subconsciousness as a Means of AGI’s and Narrow AI’s Integration
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    Chapter 67 Methods of Determining Errors in Open-Ended Text Questions
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    Chapter 68 Approach to Automatic Determining of Speakers of Direct Speech Fragments in Natural Language Texts
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    Chapter 69 Neuro-Correlates of the eBICA Model
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    Chapter 70 Aesthetic Judgments, Movement Perception and the Neural Architecture of the Visual System
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    Chapter 71 Closed Loop Control of a Compliant Quadruped with Spiking Neural Networks
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    Chapter 72 Consciousness as a Brain Complex Reflection of the Outer World Causal Relationships
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    Chapter 73 The Decomposition Method of Multi-channel Control System Based on Extended BCI for a Robotic Wheelchair
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    Chapter 74 Simulation Analysis Based on Behavioral Experiment of Cooperative Pattern Task
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    Chapter 75 On Capturing the Variability in the Modeling of Individual Behavior
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    Chapter 76 Cognitive Features for Stability of Semantic Information Processing
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    Chapter 77 Mutable Applicative Model to Prevent Entanglement of Information Processes
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    Chapter 78 M-Path: A Conversational System for the Empathic Virtual Agent
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    Chapter 79 Artificial Intelligence to Detect Timing Covert Channels
Overall attention for this book and its chapters
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Title
Biologically Inspired Cognitive Architectures 2019
Published by
Springer International Publishing, October 2019
DOI 10.1007/978-3-030-25719-4
ISBNs
978-3-03-025718-7, 978-3-03-025719-4
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 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Professor 1 8%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Unknown 5 42%
Readers by discipline Count As %
Computer Science 4 33%
Engineering 2 17%
Physics and Astronomy 1 8%
Unknown 5 42%