Few conclusions Neurocognitive informatics: inspirations beyond perceptron.
{"Image DocumentName": "Few conclusionsNeurocognitive informatics: inspirations beyond perceptron.", "Image ImageDescription": "Neurocognitive NLP leads to interesting inspirations (Sydney Lamb, Rice Univ, quite general book). Creation of novel interesting words is possible at the human competence level, opening a new. vista in creativity research and suggesting new experiments. Various approximations to knowledge representation in brain networks should be studied: from the use of a priori knowledge based on reference vectors, through ontology-based enhancements, to graphs of consistent concepts in spreading activation networks. Specific (drastically simplified) representation of semantic knowledge is sufficient in word games and query precisiation applications. More work on semantic memory for common sense and specialized applications is needed. (c) Tralvex Yeap. All Rights Reserved.", "Image XResolution": "37", "Image YResolution": "37", "Image ResolutionUnit": "Pixels/Centimeter", "Image Software": "SlidePlayer", "Image YCbCrPositioning": "Centered"}