Geometry of Knowledge for Intelligent Systems
Seiten
2012
|
2013
Springer Berlin (Verlag)
978-3-642-27971-3 (ISBN)
Springer Berlin (Verlag)
978-3-642-27971-3 (ISBN)
The book is on the geometry of agent knowledge. The important concept which we study in this book is the Field and its Geometric Representation. To develop a geometric image of the gravity, Einstein used Tensor Calculus but this is very different from the knowledge instruments that are used now. For instance techniques of data mining, neural networks, formal concept analysis, quantum computer and other topics are quite different from tensor calculus. Our aim in this book is to rebuild the tensor calculus and develop a new representation. By using new geometric image we can unify all the topics that have been studied in recent years to create a bridge between the traditional physical phenomena based on an individual and subjective approach to the knowledge.
An Introduction to the Geometry of Agent Knowledge.- Tensor Calculus and Formal Concepts.- Geometry and Agent Coherence.- Field Theory for Knowledge.- Brain Neurodynamic and Tensor Calculus.- Electrical Circuit as constrain in the multidimensional space of the voltages or currents.- Superposition and Geometry for Evidence and Quantum Mechanics in the Tensor Calculus.- The Logic of Uncertainty and geometry of the worlds.
lt;p>From the reviews:
"The book puts forward a bridge between agent-based systems and tensor calculus, presenting agent knowledge in a geometric way. ... all the modern topics for modeling agent-based systems, like data mining, neural networks, fuzzy and many value logic, are brought together through a geometric reference. The book will be especially valued by those researchers that, beyond computer science, mathematics or physics, express as well interest in philosophy." (Ruxandra Stoean, Zentralblatt MATH, Vol. 1260, 2013)Erscheint lt. Verlag | 27.7.2012 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | X, 282 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 560 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Technik | |
Schlagworte | Computational Intelligence • Intelligent Systems • Uncertainty |
ISBN-10 | 3-642-27971-6 / 3642279716 |
ISBN-13 | 978-3-642-27971-3 / 9783642279713 |
Zustand | Neuware |
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