Neuroscience and Computational Intelligence

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This book covers different topics from neuroscience and computational intelligence, including semantic and concept modeling, general neuroscience topics, reasoning and knowledge modeling, and topics from clinical neuroscience. Section 1 focuses on semantic and concept modeling, describing automatic concept extraction in semantic summarization process, a further analysis of taxonomic links in conceptual modelling, a general knowledge representation model of concepts, intelligent information access based on logical semantic binding method, and automatic concept extraction in semantic summarization process. Section 2 focuses on general neuroscience topics, describing the philosophy and neuroscience movement, the creativity as central to critical reasoning and the facilitative role of moral education, the information infrastructure for cooperative research in neuroscience, and computational intelligence and neuroscience in neurorobotics. Section 3 focuses on reasoning and knowledge modeling, describing knowledge representation in a proof checker for logic programs, episodic reasoning for vision-based human action recognition, a knowledge representation formalism for semantic business process management, and gaining knowledge from imperfect data. Section 4 focuses on clinical neuroscience, describing neuroscience and unconscious processes, validating new technologies to treat depression, pain and the feeling of sentient beings, Alzheimer’s disease as an adaptability disorder and what role does happiness have in treatment, management and prevention, as well as how neuroscience relates to hearing aid amplification and social cognition through the lens of cognitive and clinical neuroscience.

Author(s): Jovan Pehcevski
Publisher: AclerPress
Year: 2022

Language: English
Pages: 488

Cover
Title Page
Copyright
DECLARATION
ABOUT THE EDITOR
TABLE OF CONTENTS
List of Contributors
List of Abbreviations
Preface
Section 1: Semantic and Conceptual Modeling
Chapter 1 Automatic Concept Extraction in Semantic Summarization Process
Introduction
Personalized Searching Framework
Inside Summarization
Related Works in Automatic Text Summarization
Applications
Using Wikipedia and WordNet in Our Project
System Architecture
Considerations
Listing 6.16: I primi dieci articoli che rappresentano il doctunento [MW08].
References
Chapter 2 That IS-IN Isn’t IS-A: A Further Analysis of Taxonomic Links in Conceptual Modelling
Introduction
The Different Meanings for the IS-A Relation
The IS-IN relation
Conceptual Structures
That IS-IN Isn’t IS-A
Intensionality in Possible Worlds Semantic Approach
Conclusion
References
Chapter 3 A General Knowledge Representation Model of Concepts
Introduction
What Is Knowledge?
Concepts, Skills and Their Acquisition
A Model for the Representation of Concepts and Skills in Different Contexts
Application of the MM in an Advanced Learning Environment
Summary
Acknowledgment
References
Chapter 4 Intelligent Information Access Based on Logical Semantic Binding Method
Introduction
Syntax-Semantic Formalism
Knowledge Representation
Logical Semantic Binding Inference Engine
Intelligent Information Access
Discussion and Conclusion
References
Section 2: General Neuroscience Topics
Chapter 5 The Philosophy and Neuroscience Movement
Abstract
Introduction
Neuroscience and the Philosophy of Science
Reduction versus Elimination
Data and Theory in Neuroscience
Neural Representation and Computation
Visuomotor Transformation
Color Vision
Consciousness
Conclusion
References
Chapter 6 Creativity as Central to Critical Reasoning and the Facilitative Role of Moral Education: Utilizing Insights from Neuroscience
Abstract
Introduction
Linking Creativity and Critical Reasoning in Australian Educational Documentation
Neuroscience: Literary Evidence of the Centrality of Creativity
Creativity, Imagination and Wonder
The Role of Moral Education in Cultivating Creativity
Creativity and Critical Reasoning: Evidence from the Australian Values Education Program
Conclusion
References
Chapter 7 Information Infrastructure for Cooperative Research in Neuroscience
Abstract
Introduction
EEG.pl Open Repository
Semantic Aware Search
Conclusion
Acknowledgments
References
Chapter 8 Computational Intelligence and Neuroscience in Neurorobotics
Acknowledgments
Introduction
An Overview of the Main Components of the Proof Checker
Knowledge Representation
Schematic View of the Interaction of the Main Components
System Interface
Results
Conclusions
References
Section 3: Reasoning and Knowledge Modeling
Chapter 9 Knowledge Representation in a Proof Checker for Logic Programs
Chapter 10 Episodic Reasoning for Vision-Based Human Action Recognition
Abstract
Introduction
Previous Work
Leveraging Common Sense
A Semantic Model for Human Action Recognition
System Implementation
Experimental Validation
Conclusions
Acknowledgment
References
Chapter 11 A Knowledge Representation Formalism for Semantic Business Process Management
Introduction
Semantic Business Process Management at a Glance
Static/Dynamic Knowledge Representation Framework
An Example: Representing Ontologies and a Process Schemas in the Medical Domain
Semantic Information Extraction
References
Chapter 12 Knowledge in Imperfect Data
Introduction
A Taxonomy of Data Preparation
Task of Data Preparation
The Application of the Selected opeRations of the Industrial Data Preparation Methodology
Conclusion
Notes
References
Section 4: Clinical Neuroscience
Chapter 13 Neuroscience, Unconscious processes: Clinical Applications
Abstract
Introduction
The Unconscious Process of Neural Circuits and Neuropsychology
The Structural Theory and Neuroscience
Clinical Manifestations of Unconscious Processes
Conclusion
Acknowledgements
References
Chapter 14 Validating New Technologies to Treat Depression, Pain and The Feeling of Sentient Beings: A Reply to “Neuroscience for The Soul”
Abstract
Introduction
The Discovery
Responding to the Antithesis Arguments: The Terminology
Responding to the Antithesis Arguments: Specific Applications
Responding to the Antithesis Arguments: The Issues of Replication, Confounding Variables and Construct Validity
Responding to the Antithesis Arguments: Importance of Mechanisms and Theory
Conclusion
Acknowledgements
References
Chapter 15 Erratum to “Is Alzheimer’s Disease an Adaptability Disorder? What Role Does Happiness Have in Treatment, Management and Prevention” [World Journal of Neuroscience 5 (2015) 180-188]
Abstract
Aim
Introduction
Happiness and Advocacy
Conclusion
References
Chapter 16 How Neuroscience Relates to Hearing Aid Amplification
Abstract
Introduction
Upstream, Downstream, and Integrated Stages
Putting It All Together
Acknowledgments
References
Chapter 17 Social Cognition Through the Lens of Cognitive and Clinical Neuroscience
Abstract
Making Sense of Others’ Behavior with Social Cognition
Three Main Domains of Social Cognition
Age-Related Changes in Social Cognition
Altered Social Cognition in Neurodegenerative Diseases
Conclusions
References
Index
Back Cover