Biologically Inspired Cognitive Architectures 2018

Name: Biologically Inspired Cognitive Architectures 2018 | Proceedings of the Ninth Annual Meeting of the BICA Society
Brand: Springer
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Proceedings of the Ninth Annual Meeting of the BICA Society

Alexei V. Samsonovich(Editor)

Springer (Publisher)

Published on 23. August 2018

XV, 362 pages

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978-3-319-99316-4 (ISBN)

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Content

Intro
Preface
Organization
Program Committee
Contents
Multi-level Modeling of Structural Elements of Natural Language Texts and Its Applications
1 Introduction
2 Semantic Text Models
3 Semantic to Syntax Text Models
4 Syntactic and Lexical Text Models
5 Conclusion
References
NarRob: A Humanoid Social Storyteller with Emotional Expression Capabilities
1 Introduction
2 Gestures During Storytelling
3 Gestures Acquisition and Annotation
4 An Example
5 Conclusion and Future Works
References
The Cortical Conductor Theory: Towards Addressing Consciousness in AI Models
Abstract
1 Introduction: Consciousness in Cognitive Science
2 An AI Perspective on the Mind
3 The Cortical Conductor
4 Consciousness and Self Model
5 Summary
Acknowledgements
References
Meta-Engineering: A Methodology to Achieve Autopoiesis in Intelligent Systems
Abstract
1 Introduction
2 An Engineering Approach to Autopoiesis
2.1 Meta-Engineering
2.2 The Meta-Engineering Order
2.3 Self-constructive MES
2.4 Autopoietic Intelligent System (AIS)
3 MES in Real-World Scenarios
3.1 ME in Software Production Systems (SPS)
3.2 Quasi-autopoietic Software Production Systems
4 Conclusion and Future Work
References
BICA à rebours
Abstract
1 Method: BICA à rebours
2 Case: BICA-Mary
2.1 Black and White Mary
2.2 Physical, Yet Non-verbal
2.3 Privileged Access
2.4 The Lacking Connection
3 Relevance: Objects Inside and Out
3.1 Mentations
3.2 Privileged Access
3.3 Elizabeth Right, Descartes Wrong
3.4 Epistemicity
4 Sum up: Reductive Phenomenal Content
5 Follow up: Non-reductive Aspect
References
The Research of Distracting Factors Influence on Quality of Brain-Computer Interface Usage
1 Introduction
2 Related Works
3 Methodology
4 Results
5 Conclusion
References
Metagraph Approach as a Data Model for Cognitive Architecture
Abstract
1 Introduction
2 Using Metagraph Model as a Data Model
3 Using Metagraph Agents as an Action Model
4 Neural Networks Representation Using Metagraphs
5 Conclusions
References
Intelligent Processing of Natural Language Search Queries Using Semantic Mapping for User Intention Extracting
Abstract
1 Introduction
2 Models and Methods
3 Results
4 Discussion
Acknowledgements
References
Levels of Metacognition and Their Applicability to Reinforcement Learning
Abstract
1 Introduction
2 Biological Inspiration
3 Related Work
4 Methodology
5 Results
6 Conclusion
Acknowledgements
References
Extended Hierarchical Temporal Memory for Motion Anomaly Detection
1 Introduction
2 Related Work
3 HTM Algorithm
4 Dataset
5 Anomaly Detection Model
6 Experiments
7 Extensions of HTM
7.1 Hierarchy
7.2 Feedback
8 Conclusion and Future Work
References
Experimental Model of Study of Consciousness at the Awakening: FMRI, EEG and Behavioral Methods
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Conclusions
Acknowledgements
References
A Temporal-Causal Modeling Approach to the Dynamics of a Burnout and the Role of Physical Exercise
Abstract
1 Introduction
2 Background Literature
3 The Network Model: Conceptual Representation
4 The Network Model: Numerical Representation
5 Simulations for Some Example Scenarios
6 Verification and Validation
7 Discussion
References
Adaptive Neuro-Fuzzy Inference System Used to Classify the Measurements of Chemical Sensors
Abstract
1 Introduction
2 Experimental Data
3 Data Processing and Analysis
4 Conclusion
Acknowledgements
References
Association Rules Mining for Predictive Analytics in IoT Cloud System
Abstract
1 Introduction
2 Current Approaches in Predictive Analytics for IoT
3 Proposed Approach
4 Experimental Results
5 Conclusions
Acknowledgements
References
Visual Priming in a Biologically Inspired Cognitive Architecture
Abstract
1 Priming in Visual Perception
2 The Haikonen Cognitive Architecture (HCA)
3 Visual Sensory Priming in the XCR-1 Robot
4 Conclusions
References
Neural 2D Cart and Pole Control and Forward Model
1 Introduction
2 Literature Review
2.1 Robots
2.2 Neural Networks
2.3 Robot Control
3 The Simulated Neural System
3.1 Implementing Functions in Spiking Neurons
3.2 The Forward Model and Controller
3.3 Evaluation
4 Discussion and Future Work
5 Conclusion
References
A Formal Model of the Mechanism of Semantic Analysis in the Brain
1 Introduction
2 Combinatory Categorial Grammar (CCG)
3 The Proposed Model
3.1 Scope of the Model
3.2 The Outline of the Process of Semantic Analysis
3.3 Hierarchical Address Representation, Inference Rules and Lexicon
3.4 Examples of Analysis
4 Correspondence to Cortical Areas
5 Related Work
6 Conclusion
References
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
Abstract
1 Introduction
2 Problem Statement
3 Use of Neural Networks
4 Results
5 Conclusions
References
A Computational Model for Supporting Access Policies to Semantic Web
1 Introduction
2 Related Work
3 Task of Developing a Model for Supporting Access Operations
4 Model of Access to the Semantic Network
4.1 Types
4.2 Language
4.3 Interpretation
4.4 Logically Possible Interpretations and Connected definitions
4.5 Controlled Extensionality
5 Means of Semantic Network Support
5.1 Structure of Semantic Network
5.2 Access to Semantic Network
5.3 Modification of Semantic Network
6 Conclusion
References
Basic Language Learning in Artificial Animals
1 The Animat Model
2 Language Learning
2.1 Learning to Produce Phonemes
2.2 Learning to Produce Phonetic Sequences
2.3 Learning to Associate Phonetic Sequences to Sensory Experience
3 Conclusion
References
The Concept of Functional Tractography Method for Cognitive Brain Studies
Abstract
1 Introduction
2 Idea
Acknowledgements
References
Feasibility Study and Practical Applications Using Independent Core Observer Model AGI Systems for Behavioral Modification in Recalcitrant Populations
Abstract
1 Introduction
1.1 Benefits and Foundation
1.2 Experimental Risk
1.3 Problem Definition and Technology Selection
1.4 Solution Architecture Summary
1.5 Proof of Concept (POC) Execution
1.6 ICOM Ethical Decision Making in POC
1.7 On Technical Feasibility
1.8 Behavioral Modification Types
1.9 Additional Research
1.10 Contextual Framework
2 Conclusions
References
Web-Analytics Based on Fuzzy Cognitive Maps
Abstract
1 Introduction
2 Usability and Conversion in Web-Analytics
3 Developed Instrumental Means for Cognitive Web-Analytics
4 Experimental Results with Real Site's Data
5 Conclusions
Acknowledgements
References
Information Approach in the Problems of Data Processing and Analysis of Cognitive Experiments
1 Introduction
2 Description of the Experiment
3 Methods of Processing Log-File Data
3.1 Elimination of Incorrectly Assigned Tasks
3.2 Analysis of Individual Characteristics of Participants' Answers to the Tasks of the Psychological Test
3.3 Grouping Participants According to the Individual Characteristics of Their Test Answers
4 Conclusions
References
Network Modeling Environment for Supporting Families of Displaced Concepts
1 Introduction
2 Approaches to Taking into Account the Concepts Displacement
3 Task of Developing the Environment to Support the Families of Displaced Concepts
4 Semantics of the Network Constructions
4.1 Semantic Network Structure
4.2 Description of the Semantics of Network
5 Computational Abilities to Support the Concepts Displacement
6 Conclusion
References
Designing an Emotionally-Intelligent Assistant of a Virtual Dance Creator
Abstract
1 Introduction
2 Materials and Methods
2.1 Cognitive Model
2.2 Implementation
2.3 Subjects
3 Procedures and Outcomes
4 Discussion
Acknowledgments
References
The Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality
1 Introduction
2 Related Work
3 Method for Determining the Minimum Number of Tests
4 Results
5 Conclusion
References
Neurotransmitters Level Detection Based on Human Bio-Signals, Measured in Virtual Environments
1 Introduction
2 Our Idea
3 Lövheim Cube of Emotions
4 Areas of the Brain for EEG Data Extraction
5 The Experiment
6 Experimental Data Processing
7 Conclusion and Future Works
References
Heterogeneous Proxytypes Extended: Integrating Theory-Like Representations and Mechanisms with Prototypes and Exemplars
1 Introduction
2 Prototypes, Exemplars, Theories and Proxytypes
3 Heterogeneous Proxytypes
3.1 Heterogeneous Proxytypes in DUAL-PECCS
4 The Duality of Theory-Like Representations
5 A Unified Categorization Algorithm for Exemplars, Prototypes and Theory-Like Representations
6 Conclusions and Future Work
References
On Stable Profit Sharing Reinforcement Learning with Expected Failure Probability
1 Introduction
2 Domain
3 Exploitation-Oriented Learning
3.1 Profit Sharing (PS)
3.2 Expected Failure Probability (EFP)
3.3 PSwithEFP
4 Proposal of Expected Success Probability (ESP)
4.1 ESP
4.2 Proposal of SPS
4.3 Proposal of SPSwithEFP
5 Numerical Experiments
5.1 Experimental Setting
5.2 Results and Discussion
6 Conclusions
References
Neocortical Functional Hierarchy Estimated from Connectomic Morphology in the Mouse Brain
Abstract
1 Introduction
2 Method
3 Results
4 Conclusions
References
Function Map-Driven Development for AGI
1 Introduction
2 Function Map
2.1 Function
2.2 Overview of Function Maps
3 Function Map-Driven Development
3.1 Cycle of Implementation and Reorganization
3.2 Improvement of AGI Generality by Grounding to the Brain Constraints
4 Conversion of Function Maps
4.1 Conversion to a Cognitive Architecture Representation
4.2 Conversion to a Roadmap Representation
5 Conclusion
References
Scruff: A Deep Probabilistic Cognitive Architecture for Predictive Processing
Abstract
1 Introduction
1.1 Contributions of This Paper
2 Related Work
2.1 Predictive Processing Implementations
2.2 Frameworks Integrating Neural Networks into Probabilistic Programming
3 Predictive Processing Background
4 Requirements for a Cognitive Architecture
5 Scruff
5.1 Hierarchical Representations
5.2 Modeling Time
5.3 Modeling Context
5.4 Learning Predictive Models
6 Example Models
6.1 Deep Conditional Linear Gaussian Models
6.2 Deep Noisy-or Networks
6.3 A Bayesian Version of Rao and Ballard's Model
7 Conclusion
References
The Method for Searching Emotional Content in Images Based on Low-Level Parameters with Using Neural Networks
Abstract
1 Introduction
2 Fuzzy Set Theory and Principal Component Analysis - PCA
3 The Approach of the Analysis of Emotional Semantic and Automatic Annotation
4 Conclusion
Acknowledgment
References
Intelligent Planning and Control of Integrated Expert Systems Development Process
1 Introduction
2 Aspects of Processes of the Prototyping of Applied IES
3 General Formulation of the Problem of Generation of Plans for the Development of Prototypes of IES
4 Aspects of Software Implementation of Basic Components of the Intellectual Software Environment
5 Conclusion
References
An Approach to Hierarchical Deep Reinforcement Learning for a Decentralized Walking Control Architecture
1 Introduction
2 Overview: Cognitive Walking Architecture
2.1 Walknet - Biological Inspired Hexapod Walking Control
2.2 ReaCog - Cognitive Expansion for Planning Ahead
3 Related Work
3.1 Approaches to Hexapod Walking
3.2 Deep Reinforcement Learning
4 Proposed Architecture Overview
4.1 Local Control Modules and Decentralized Organisation
4.2 Learning of Control
4.3 Temporal Abstraction
5 Conclusion
References
An Intrinsically Motivated Robot Explores Non-reward Environments with Output Arbitration
1 Introduction
2 Accumulator Based Arbitration Model
3 Arbitrable Intrinsically Motivated Exploration
4 Experiments
4.1 Environment
4.2 Training
4.3 Evaluation
5 Conclusion
References
A Strategic Management System Based on Systemic Learning Algorithm
Abstract
References
Genetically Evolved Extreme Learning Machine for Letter Recognition Dataset
Abstract
1 Introduction
2 Extreme Learning Machine
2.1 ELM Training Algorithm
3 Genetic Algorithm
4 The Experiment
5 The Results
6 Conclusions and Future Work
References
Toward Human-Like Sentence Interpretation-a Syntactic Parser Implemented as a Restricted Quasi Bayesian Network-
1 Introduction
2 Restricted Quasi Bayesian Networks
3 Combinatory Categorial Grammar
4 Implementation
4.1 Representation of Syntactic Categories in a Bayesian Network
4.2 Forward/Backward Functional Application Rules
4.3 A Bayesian Network for Three Syntactic Categories
5 Conclusion
References
Research of Neurocognitive Mechanisms of Revealing of the Information Concealing by the Person
Abstract
1 Introduction
2 Materials and Methods
3 Results
4 Conclusions
Acknowledgements
References
Encrypted Data Transmission Over an Open Channel
Abstract
1 Introduction
2 Perfect Cipher
3 Using Tables for Transmission of a One-Time Key
3.1 Using an Additional Telephone Channel
3.2 Transmission of a Cipher Message Without an Additional Telephone Channel
4 Experimental Testing of Cipher Message Transmission Using Tables
5 Conclusion
Acknowledgment
References
Analysis of Gaze Behaviors in Virtual Environments for Cooperative Pattern Modeling
1 Introduction
2 Cooperative Pattern Analysis
3 Cooperative Pattern Acquisition Experiment on Gaze Behavior
3.1 Scene of Virtual Environment Experiment
3.2 HMD and Virtual Environment
3.3 Method
3.4 Results
4 Discussion
5 Conclusion
References
A Consideration of the Pathogenesis of DID from a Robot Science Perspective
Abstract
1 Introduction
2 MoNAD Consciousness Module
3 Conscious System
4 Dissociation and Dissociative Identity Disorder (DID)
5 Conscious System for the Dissociation Model
5.1 Recording Device (EXM)
5.2 MoNAD Filter Value
5.3 Occurrence of Dissociation
6 Development Process of the Dissociation Symptoms
7 Conclusion and Discussion
References
Data Enrichment with Provision of Semantic Stability
1 Introduction
2 Approaches to Data Enrichment
3 Task of Supporting Semantic Stability in Data Enrichment
4 Methods to Ensure the Semantic Stability
5 Tools of Support for Semantic Stability
6 Conclusion
References
Causality Reconstruction by an Autonomous Agent
Abstract
1 Introduction
2 Experimental Settings
3 The Algorithm
3.1 The Node Construction Stage
3.2 The Arc Construction Stage
3.3 Details of the Algorithm
4 Experiment
5 Conclusion
References
Analyzing Motivating Texts for Modelling Human-Like Motivation Techniques in Emotionally Intelligent Dialogue Systems
1 Introduction
2 Datasets and Features
2.1 Datasets
2.2 Features
3 Experiments and Results
4 Discussion
5 Conclusions
References
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