Описание: Cognitive issues in HCI.- Measuring and monitoring cognition.- Cognitive issues in complex environments.- Productivity.- Creativity.- Learning and collaboration.
Автор: Alexander Riegler; Markus Peschl; Astrid von Stein Название: Understanding Representation in the Cognitive Sciences ISBN: 0306462869 ISBN-13(EAN): 9780306462863 Издательство: Springer Рейтинг: Цена: 32004.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume argues in favour of rethinking basic issues in cognitive science in the context of late-1990s developments. One of the issues that is investigated is the importance of simulation as a methodological tool for theory development in cognitive science.
Описание: This book advances understanding of brain function by defining a framework for representation based on category theory. Brings mathematical formalism into the domain of neural representation of physical spaces, as a basis for a theory of mental representation.
Описание: The purpose of the book is to advance in the understanding of brain function by defining a general framework for representation based on category theory. The idea is to bring this mathematical formalism into the domain of neural representation of physical spaces, setting the basis for a theory of mental representation, able to relate empirical findings, uniting them into a sound theoretical corpus. The innovative approach presented in the book provides a horizon of interdisciplinary collaboration that aims to set up a common agenda that synthesizes mathematical formalization and empirical procedures in a systemic way. Category theory has been successfully applied to qualitative analysis, mainly in theoretical computer science to deal with programming language semantics. Nevertheless, the potential of category theoretic tools for quantitative analysis of networks has not been tackled so far. Statistical methods to investigate graph structure typically rely on network parameters. Category theory can be seen as an abstraction of graph theory. Thus, new categorical properties can be added into network analysis and graph theoretic constructs can be accordingly extended in more fundamental basis. By generalizing networks using category theory we can address questions and elaborate answers in a more fundamental way without waiving graph theoretic tools. The vital issue is to establish a new framework for quantitative analysis of networks using the theory of categories, in which computational neuroscientists and network theorists may tackle in more efficient ways the dynamics of brain cognitive networks. The intended audience of the book is researchers who wish to explore the validity of mathematical principles in the understanding of cognitive systems. All the actors in cognitive science: philosophers, engineers, neurobiologists, cognitive psychologists, computer scientists etc. are akin to discover along its pages new unforeseen connections through the development of concepts and formal theories described in the book. Practitioners of both pure and applied mathematics e.g., network theorists, will be delighted with the mapping of abstract mathematical concepts in the terra incognita of cognition.
Автор: Ogiela, Lidia Dominika Название: Cognitive Information Systems in Management Sciences ISBN: 0128038039 ISBN-13(EAN): 9780128038031 Издательство: Elsevier Science Рейтинг: Цена: 15159.00 р. Наличие на складе: Поставка под заказ.
Описание:
Cognitive Information Systems in ManagementSciences summarizes the body of work in this area, taking an analytical approach to interpreting the data, while also providing an approach that can be used for practical implementation in the fields of computing, economics, and engineering.
Using numerous illustrative examples, and following both theoretical and practical results, Dr. Lidia Ogiela discusses the concepts and principles of cognitive information systems, the relationship between intelligent computer data analysis, and how to utilize computational intelligent approaches to enhance information retrieval.
Real world implantation use cases round out the book, with valuable scenarios covering management science, computer science, and engineering.
Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
Автор: Elpiniki I. Papageorgiou Название: Fuzzy Cognitive Maps for Applied Sciences and Engineering ISBN: 3662522144 ISBN-13(EAN): 9783662522141 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Methods and Algorithms for Fuzzy Cognitive Map-based Modeling.- Fuzzy Cognitive Maps as representations of mental models and group beliefs.- FCM Relationship Modeling for Engineering Systems.- Using RuleML for Representing and Prolog for Simulating Fuzzy Cognitive Maps.- Fuzzy Web Knowledge Aggregation, Representation, and Reasoning for Online Privacy and Reputation Management.- Decision Making by Rule-Based Fuzzy Cognitive Maps: An Approach to Implement Student-Centered Education.- Extended Evolutionary Learning of Fuzzy Cognitive Maps for the Prediction of Multivariate Time-Series.- Synthesis and Analysis of Multi-Step Algorithms of Fuzzy Cognitive Maps Learning.- Designing and Training Relational Fuzzy Cognitive Maps.- Cooperative Autonomous Agents Based On Dynamical Fuzzy Cognitive Maps.- FCM-GUI: A graphical user interface for Big Bang-Big.- Crunch Learning for FCM and Evaluation.- JFCM - A Java library for Fuzzy Cognitive Maps.- Use and evaluation of FCM as a tool for long term socio ecological research.- Application of Fuzzy Grey Cognitive Maps for process problems in industry Papageorgiou.- Use and Perspectives of Fuzzy Cognitive Maps in Robotics.- Fuzzy Cognitive Maps for Structural Damage Detection.- Fuzzy cognitive strategic maps for business management.- The Complex Nature of Migration at a Conceptual Level.- Overlook to the Internal Migration Experience in Gebze through Fuzzy Cognitive Mapping Method.- Understanding Public Participation and Combining Perceptions of Stakeholders' for a Better Management in Danube Delta Biosphere Reserve.- Employing Fuzzy Cognitive Map for Periodontal Disease Assessment.
Автор: Michel Chein; Marie-Laure Mugnier Название: Graph-based Knowledge Representation ISBN: 1849967695 ISBN-13(EAN): 9781849967693 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In addressing the question of how far it is possible to go in knowledge representation and reasoning through graphs, the authors cover basic conceptual graphs, computational aspects, and kernel extensions. The basic mathematical notions are summarized.
Автор: John-Jules Meyer; Jan M. Broersen Название: Knowledge Representation for Agents and Multi-Agent Systems ISBN: 3642053009 ISBN-13(EAN): 9783642053009 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: First International Workshop KRAMAS 2008 Sydney Australia September 17 2008 Revised Selected Papers. .
Автор: Ashok K Goel; Mateja Jamnik; N Hari Narayanan Название: Diagrammatic Representation and Inference ISBN: 364214599X ISBN-13(EAN): 9783642145995 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Constitutes the refereed proceedings of the 6th International Conference on Theory and Application of Diagrams, Diagrams 2010, held in Portland, OR, USA, in August 2010.
Описание: Claudia Brodsky skillfully combines close readings of narrative works by Goethe, Austen, Balzac, Stendhal, Melville, and Proust with a detailed analysis of the relation between Kant`s critical epistemology and narrative theory. Originally published in 1987. The Princeton Legacy Library uses the latest print-on-demand technology to again make avai
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