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Format: 1 online resource (138 pages)

Edition: 1st ed.

ISBN: 3-031-57312-9

Series Statement: Studies in Computational Intelligence Series ; v.1157

Note: Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 2 Review of the Two Existing Artificial Neural Network Models-Multilayer Perceptron and Probabilistic Neural Networks -- 2.1 Nodes and Connections in the ANN Models -- 2.2 Multilayer Perceptron Neural Networks -- 2.3 Interpretation of Weighted Connections Between the Nodes -- 2.4 Radial Basis Function Neural Network -- 2.5 Image Classification Task Performed via Applying an MLP-NN/RBF-NN -- 2.6 Training an MLP-NN -- 2.7 Training a Variant of the RBF-NN Models-Probabilistic Neural Network -- 2.8 Data Reduction to Mitigate the Curse of Dimensionality for PNN -- 2.9 Summary of Reviewing the Two Layered-Type Artificial … -- 3 Beyond the Original PNN Model-Kernel Memory for Modeling Various Neural Pattern Processing Mechanisms -- 3.1 Dealing with Multiple Different Data Domain Inputs -- 3.2 Lateral Connections Represented by Link-Weights -- 3.3 Redefining the Notion of Node's Input/Output as Kernel Unit -- 3.4 Extended PNN Model Capable of Simultaneous Pattern Classification … -- 3.5 Introducing Multiple Output Node Collections for Simultaneous … -- 3.6 Temporal Processing-Serial-Order Detection in the Activation Patterns of Nodes -- 3.7 A Practical Example of Implementing the Serial-Order … -- 3.8 Data Representation by Way of Kernel Memory -- 3.9 Redefining the Notion of Learning within the Kernel Memory Context -- 3.10 Summary of the Models Extended from the Original PNN … -- 4 Modules Within the Artificial Mind System and Their Interactions Relevant to Language Pattern Processing -- 4.1 Modules Responsible for the Input and Outputs of AMS -- 4.2 Short-/Long-Term Memory Modules -- 4.3 Memory Modules Represented by Kernel Memory -- 4.4 The STM/Working Memory Module and Its Kernel Memory Representation -- 4.5 Four Modules Associated with the STM/Working …. , 4.6 Data Arriving at the STM/Working Memory Module from Other Associated Modules -- 5 Concept Formation -- 5.1 Concept Formation as Multimodal Data Fusion Process -- 5.2 An Example of Concept Formation-The Concept of Digits -- 5.3 Revisiting the Notion of Performing Pattern Recognition Tasks Within the AMS Context -- 5.4 Construction of a Network Representing Concepts -- 5.5 Justification of Generating the Type (ii) Units in Scenario (2) -- 6 Representation of Lexical Networks and Word-Level Data Processing -- 6.1 Kernel Memory Representation of a Lexical Network -- 6.2 Activation Transfer Between the Units for Serial-Order Activation Detection and Their Subordinate Units -- 6.3 Construction of the Lexical Network -- 6.4 Representation of the Activation Traces Among the Units … -- 6.5 Context-Dependent Representation of a Lexical Network -- 6.6 Association Between Concepts -- 6.7 Facilitation of the Association Between Symbolic Units for Compounding Words -- 6.8 Single-Word Compoundings and Multiple-Word Combinations … -- 6.9 The Units Representing Abstract Concepts -- 6.10 Word Inflection and Derivation -- 6.11 Acquisition of Word Morphologies and Multi-Word Constructions -- 6.12 Compositionality in Concepts -- 6.13 Irregular Inflections -- 6.14 Parsimonious Representation via Morpheme Stripping -- 7 Syntactic Processing -- 7.1 Syntactic Networks Comprised of the Combination of Symbolic Units for Serial Order Detection and Gating Units -- 7.2 An Example of Processing Word Sequences Through a Syntactic Network Structure -- 7.3 Necessity Beyond Genuine Syntactic Processing -- 7.4 Syntactic Processing of the Sentences with an Intricate Structure (cf. Hoyasps2018) -- 7.5 Syntactic Processing of Embedded Sentences (cf. Hoyasps2018) -- 7.6 Some Considerations of Minimal Effort Principle -- 7.7 Performing the Semantic Analysis of Sentences. , 7.8 Generalizing Propositional Network Structures to Multilingual System -- 7.9 Analysis of Sentences in the Pragmatic Sense via the Thinking Module -- 7.10 Hybrid of Verbal and Nonverbal Thinking -- 8 Epilogue -- Appendix References -- -- Index.

Additional Edition: ISBN 3-031-57311-0

Language: English