Part I: The Neural Foundations.- From Classical Connectionist Models to Probabilistic / Generalised Regression Neural Networks (PNNs / GRNNs).- The Kernel Memory Concept - A Paradigm Shift from Conventional Connectionism.- The Self-Organising Kernel Memory (SOKM).- Part II: Artificial Mind Systems.- The Artificial Mind System (AMS), Modules, and their Interactions.- Sensation and Perception Modules.- Learning in the AMS Context.- Memory Modules and the Innate Structure.- Language and Thinking Modules.- Modelling Abstract Notions Relevant to the Mind and Associated Modules.- Epilogue - Towards Developing a Realistic Sense of Artificial Intelligence.
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