## Discoveries and Breakthroughs in Cognitive Informatics and Natural IntelligenceCognitive informatics is a multidisciplinary field that acts as the bridge between natural science and information science. Specifically, it investigates the potential applications of information processing and natural intelligence to science and engineering disciplines. This collection, entitled |

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### Contents

1 | |

A Cognitive Approach to theMechanism of Intelligence1 | 18 |

Reducing Cognitive Overloadby MetaLearning AssistedAlgorithm Selection | 36 |

Analyzing Learning Methodsin a Functional Environment | 52 |

Nature of Learning and Learning of Nature | 71 |

On Cognitive Properties ofHuman Factors and ErrorModels in Engineering andSocialization | 93 |

UserCentered InteractiveData Mining | 110 |

A Denotational Mathematical Structure forKnowledge and Software Modeling | 126 |

Unifying Rough Set Analysisand Formal Concept AnalysisBased on a Logic Approachto Granular Computing | 325 |

On Foundations andApplications of the Paradigm ofGranular Rough Computing | 350 |

Robust IndependentComponent Analysis forCognitive Informatics | 368 |

A Relative FractalDimension Spectrum for aPerceptual Complexity Measure | 381 |

3D Object Classification Basedon Volumetric Parts | 398 |

Modeling Underwater Structures | 413 |

A Novel Plausible Model forVisual Perception | 428 |

An Efficient and AutomaticIris Recognition SystemUsing ICM Neural Network | 445 |

A Denotational Mathematical Structure forAbstract System Modeling | 149 |

A Denotational Mathematics forManipulating Intelligent andComputational Behaviors | 178 |

A Denotational Semantics ofRealTime Process AlgebraRTPA | 200 |

An Operational Semantics ofRealTime Process AlgebraRTPA | 218 |

Formal Modeling andSpecification of Design PatternsUsing RTPA | 239 |

Deductive Semantics of RTPA | 254 |

On the BigR Notation forDescribing Iterative andRecursive Behaviors | 292 |

Formal RTPA Models for a Setof MetaCognitive Processes ofthe Brain | 308 |

Neural Networks for LanguageIndependent EmotionRecognition in Speech | 461 |

An Analysis of InternalRepresentations for TwoArtificial Neural Networksthat Classify Musical Chords | 485 |

Foundation and Classificationof Nonconventional NeuralUnits and Paradigm ofNonsynaptic Neural Interaction | 508 |

A Randomize Test Follow Up Study | 524 |

532 | |

About the Contributors | 566 |

572 | |

### Other editions - View all

Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence Yingxu Wang No preview available - 2010 |

### Common terms and phrases

abstract algorithm analysis approach architecture atomic formulas attributes Bayesian network behaviors big-R notation brain Canada CBNs CCNB chords classification Cognitive Informatics cognitive process complex components concept algebra Conference on Cognitive data mining dataset deductive semantics defined Definition denotational mathematical denotational semantics described dynamic emotion evaluation FastICA Figure formal concept analysis granular computing granular structures granules hidden units human IEEE IGI Global implementation Informatics and Natural input International Journal iterative Journal of Cognitive Kinsner knowledge knowledge representation layer logic machine learning measure memory mereology method Natural Intelligence neural network neural units nonlinear object operational semantics outlier output pattern problem Proceedings process algebra process algebra RTPA process relation programming languages real-time process algebra recognition recursive reduction representation rough inclusion rough set RTPA rules semantic function software engineering specific strategy superquadric theoretical theory University values variables visual voxels Wang