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Proceedings of the 10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

Proceedings of the 10th IEEE International Conference on Cog...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

ISBN: (纸本)9781457716966

the proceedings contain 64 papers. the topics discussed include: songs to syntax: cognition, combinatorial computation, and the origin of language;cognitive dynamic systems: an integrative field that will be a hallmark of the 21st century;human centricity and perception-based perspective of architectures of granular computing;on inference algebra: a formal means for machine reasoning and cognitive computing;it's time for multiscale analysis and synthesis in cognitive systems;cognitive informatics in year 10 and beyond: summary of the plenary panel;a formal knowledge representation system for the cognitive learning engine;brain architecture for visual object identification;extraction of geospatial information on the web for GIS applications;the operational semantics of concept algebra for cognitive computing and machine learning;and automatically answering repeated questions based on semantic question patterns.

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Proceedings of the 10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011: Preface

Proceedings of the 10th IEEE International Conference on Cog...

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Proceedings of the 10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011 2011年 iii页

作者： Wang, Y. Kinsner, W. Pedrycz, W. Celikyilmaz, A.

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It's time for multiscale analysis and synthesis in cognitive systems

It's time for multiscale analysis and synthesis in cognitive...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Kinsner, Witold Computational Intelligence and Cognitive Systems Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MB R3T 5V6 Canada Institute of Industrial Mathematical Sciences Telecommunications Research Laboratories TRLabs. Canada

ISBN: (纸本)9781457716966

Much of the past modelling, analysis and synthesis of autonomous intelligent systems, autonomic systems, cognitive systems, and natural cognitive processes have been conducted using single-scale approaches. this talk presents fundamentals of multiscale analysis and synthesis, with emphasis on monofractals and multifractals as they apply to cognitive informatics and cognitive computing. Examples of many natural self-affine objects and phenomena are provided, and several analytical results are presented to demonstrate the advantages of multiscale analysis. Examples of multiscale synthesis of noise are also provided to illustrate how to generate processes for research of signals contaminated by natural noise. © 2011 ieee.

关键词： cognitive systems

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A cognitive informatics framework for language understanding

A cognitive informatics framework for language understanding

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Massey, L. Department of Mathematics and Computer Science Royal Military College Kingston ON Canada

ISBN: (纸本)9781457716966

For centuries, science and philosophy of human language have posited that language understanding is a logico-deductive process. In this paper, we argue that this is not necessarily the case, at least not for basic forms of understanding such as the ability to determine what a text document is about. We present a human-inspired cognitive informatics (CI) framework for basic language understanding that relies on the semantic relationship between words as embodied in conceptual knowledge stored in Long Term Memory (LTM). Short Term Memory (STM) limited capacity, neuromorphic spreading activations and neural decay are also contributing to meaning determination. A computational model implementing the framework shows the potential of the approach by establishing that the output of the model is as good as what humans generate. © 2011 ieee.

关键词： Semantics

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cognitive informatics in year 10 and beyond: Summary of the plenary panel

Cognitive informatics in year 10 and beyond: Summary of the ...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Wang, Yingxu Berwick, Robert C. Haykin, Simon Pedrycz, Witold Baciu, George Bhavsar, Virendrakumar C. Gavrilova, Marina Kinsner, Witold Zhang, Du University of Calgary Canada Massachusetts Institute of Technology United States McMaster University Canada University of Alberta Canada Hong Kong Polytechnic University Hong Kong Hong Kong McMaster University of New Brunswick Canada University of Manitoba Canada University of Regina Canada

ISBN: (纸本)9781457716966

the contemporary wonder of sciences and engineering has recently refocused on the starting point of them: How the brain processes internal and external information autonomously and cognitively rather than imperatively as those of conventional computers do? this leads to the advances in the field of cognitive informatics (CI) as a transdisciplinary enquiry of computer science, information sciences, cognitive science, and intelligence science. CI investigates into the internal information processing mechanisms and processes of the brain and natural intelligence, as well as their engineering applications in cognitive computing. this paper reports a set of nine position statements presented in the plenary panel of ieee icci*cc'11 on cognitive informatics in Year 10 and Beyond contributed from invited panelists who are part of the world's renowned researchers and scholars in the field of cognitive informatics and cognitive computing. © 2011 ieee.

关键词： Algebra

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Rule induction methods with hierachical sampling

Rule induction methods with hierachical sampling

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Tsumoto, Shusaku Department of Medical Informatics Faculty of Medicine Shimane University Izumo 693-8501 Japan

ISBN: (纸本)9781457716966

this paper proposes a method for hiearchical sampling for rule induction. the method generates training samples and test samples in a two-level hierarchical way, and compared the results between these two levels, which corresponding to second-order approximation of estimators in Edgeworth expansion. We applied this method to three medical datasets. the results show that this method gives better performance than conventional methods. © 2011 ieee.

关键词： Recursive Sampling Resampling Rule Induction

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A formal knowledge representation system for the cognitive learning engine

A formal knowledge representation system for the cognitive l...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Tian, Yousheng Wang, Yingxu Gavrilova, Marina L. Ruhe, Guenther University of Calgary 2500 University Drive NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781457716966

Knowledge representation is one of the central problems in the design and implementation of a cognitive learning engine (CLE). A formal knowledge representation system (FKRS) is developed for autonomous concept formation based on concept algebra. the object-attribute-relation (OAR) model for knowledge representation is adopted in the design of FKRS. the conceptual model, architectural model, and behavioral models of the FKRS system is formally designed and specified in real-time process algebra (RTPA). the FKRS system is implemented in Java as a major component towards the development of the CLE and other knowledge-based systems in cognitive computing and computational intelligence. © 2011 ieee.

关键词： Knowledge representation

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the operational semantics of concept algebra for cognitive computing and machine learning

The operational semantics of concept algebra for cognitive c...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Wang, Yingxu Tian, Yousheng Hu, Kendall Dept. of Electrical and Computer Engineering Schulich School of Engineering University of Calgary 2500 University Drive NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781457716966

Concept Algebra (CA) is a denotational mathematical structure for formal knowledge representation and manipulations in cognitive computing and machine learning. CA provides a rigorous and dynamic knowledge modeling and processing tool, which extends the informal, static, and application-specific ontological technologies. An operational semantics for the calculus of CA is formally elaborated using a set of computational processes in real-time process algebra (RTPA). A case study is presented on how machines and agents may mimic the key ability of human beings to autonomously manipulate knowledge using CA. this work demonstrates the expressive power and a wide range of applications of CA for both humans and machines in cognitive computing, semantic computing, machine learning, and computational intelligence. © 2011 ieee.

关键词： Knowledge representation

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cognitive weave pattern prioritization: An application-oriented approach

Cognitive weave pattern prioritization: An application-orien...

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Zheng, Dejun Baciu, George Hu, Jinlian Xu, Hao Department of Computing Institute of Textiles and Clothing Hong Kong Polytechnic University Hung Hom Kowloon Hong Kong

ISBN: (纸本)9781457716966

Very often, the recognition of a pattern is accompanied by a cognitive process of interpretation and understanding. In the arts and sciences, as well as in our daily lives, we learned patterns from nature and create new patterns for various applications. Weave pattern is one of the most important artificial patterns in our daily lives and there are numerous applications. To manipulate the weave patterns, texton indexing and prioritization are needed to perform, which is associated with a cognitive process of interpretation and understanding of pattern. In this regard, we use an interdisciplinary approach to help selecting weave texture patterns using tailored features and algorithms, taking into account essential features or rules of pattern design. the features and algorithms are designed based on the object-attribute-relation (OAR) model and cognitive informatics model. three essential features of weave pattern are proposed, i.e. the complexity of patterns in production process, visual structural appearance and cognitive features to track for weave pattern. Our experiments on a wide variety of weave patterns show that the proposed approach is capable of effectively prioritizing weave texture patterns. © 2011 ieee.

关键词： Pattern recognition

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cognitive computational models of emotions

Cognitive computational models of emotions

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10th ieee international conference on cognitive informatics and cognitive computing, icci*cc 2011

作者： Rodríguez, Luis-Felipe Ramos, Félix Wang, Yingxu Department of Computer Science Cinvestav Guadalajara Av. Científica 1145 Col. El Bajío Zapopan Jalisco 45010 Mexico Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary 2500 University Drive NW Calgary AB T2N 1N4 Canada

ISBN: (纸本)9781457716966

Emotions are one of the important unconscious mechanisms that influence human behaviors, attentions, and decision making. the emotion process helps to determine how humans perceive their internal status and needs in order to form consciousness of an individual. Emotions have been studied from multidisciplinary perspectives and covered a wide range of empirical and psychological topics, such as understanding the emotional processes, creating cognitive and computational models of emotions, and applications in computational intelligence. this paper presents a comprehensive survey of cognitive and computational models of emotions resulted from multidisciplinary studies. We concentrate on exploring how cognitive models have served as the theoretical basis of the computational models of emotions. A comparative analysis of current approaches is elaborated with discussions of how recent advances in this area may improve the development of a coherent cognitive Computational Model of Emotions (C2MEs), which leads to the machine simulated emotions for cognitive robots and autonomous agent systems in cognitive informatics and cognitive computing. © 2011 ieee.

关键词： Decision making

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