Combining the arts, science, artificial intelligence, computer science, and the humanities, intelligent multimedia computing has the potential to create significant advances in information technologies. In this upper-division or graduate text, Nourani (U. of California, Los Angeles) defines the notion of intelligent media and then covers creative multimedia techniques in virtual reality, basic morphs, motion pictures, animation techniques and flash MX, artificial intelligence and intelligent multimedia media object paradigms, basic intelligent multimedia techniques, agent computing, mathematical foundations, intelligent visual databases and data mines. He then integrates the technology with applications, including those in business and e-commerce, spatial heterogeneous visual computing, knowledge representation and predictive diagram models, business intelligence and content exploration, interfaces, heterogeneous computing, agent-based structures and implementations, abstract planning, models and virtual trees. Nourani closes with a chapter on intelligent cyberspace interfaces and wireless access protocol generic computing. Annotation ©2005 Book News, Inc., Portland, OR (booknews.com)

Intelligent Multimedia Computing Science: Business Interfaces, Wireless Computing, Databases, And Data Mining

Computers & Technology

Nourani, Cyrus F.

Computer Science

Amer Scientific Pub

This book, Algebraic Computability and Enumeration Models: Recursion Theory and Descriptive Complexity, presents new techniques with functorial models to address important areas on pure mathematics and computability theory from the algebraic viewpoint. The reader is first introduced to categories and functorial models, with Kleene algebra examples for languages. Functorial models for Peano arithmetic are described toward important computational complexity areas on a Hilbert program, leading to computability with initial models. Infinite language categories are also introduced to explain descriptive complexity with recursive computability with admissible sets and urelements.   Algebraic and categorical realizability is staged on several levels, addressing new computability questions with omitting types realizably. Further applications to computing with ultrafilters on sets and Turing degree computability are examined. Functorial models computability is presented with algebraic trees realizing intuitionistic types of models. New homotopy techniques are applied to Marin Lof types of computations with model categories. Functorial computability, induction, and recursion are examined in view of the above, presenting new computability techniques with monad transformations and projective sets.  This informative volume will give readers a complete new feel for models, computability, recursion sets, complexity, and realizability. This book pulls together functorial thoughts, models, computability, sets, recursion, arithmetic hierarchy, filters, with real tree computing areas, presented in a very intuitive manner for university teaching, with exercises for every chapter. The book will also prove valuable for faculty in computer science and mathematics.

Algebraic Computability and Enumeration Models: Recursion Theory and Descriptive Complexity

Science & Math

Mathematics

Apple Academic Press

Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics (Innovation Management and Computing)

A Functorial Model Theory

APPLE ACADEMIC

Algebraic Computability and Enumeration Models

Focusing on the cutting-edge applications of AI cognitive computing from neuromorphic to quantum cognition as applied to AI business analytics, this new volume explores AI's importance in managing cognitive processes along with ontological modeling concepts for venturing into new business frontiers. The volume presents a selection of significant new accomplishments in the areas of AI cognitive computing ranging from neurocognition perception and decision-making in the human brain--combining neurocognitive techniques and effective computing--to basic facial recognition computing models. Topics include: <ul> <li>Agent neurocomputing techniques for facial expression recognition</li> <li>Computing haptic motion and ontology epistemic</li> <li>Characterizations of morph schemas for visual analytics</li> <li>Learning and perceptive computing</li> <li>Functional and structural neuroimaging modeling</li> <li>Observed links between facial recognition and affective emotional processes</li> <li>Interaction of cognitive and emotional processes during social decision-making</li> <li>Neurocognitive processing of emotional facial expressions in individuals</li> <li>Neurocognitive affective system for emotive robot androids</li> <li>Virtual reality-based affect adaptive neuromorphic computing</li> </ul>Executive surveys indicate that cognitive adoption is very important in business strategy for success and to remain competitive. Employing cognitive-based processes provides the way to get the right information in the right hands at the right time, which is the key to winning in the digital era and to driving business value that emphasizes competitive differentiation. Several chapters of the volume address the goal of using cognitive technology to improve search capabilities, to provide personalized customer service in business and in health and wellness, and to create better workflow management. Key features: <ul> <li>Looks at the newest frontiers on very popular AI and analytics topics</li> <li>Discusses new techniques for visual analytics and data filtering</li> <li>Shows how AI and cognitive science merges with quantum neurocognitive computing</li> <li>Presents ontology models with ontology preservation data filtering techniques</li> <li>Provides a cross-transposition on AI and digitizations for business model innovations</li> </ul>Artificial Intelligence and Computing Logic: Cognitive Technology for AI Business Analytics is a valuable resource that informs businesses and other enterprises the value of artificial intelligence and computing logic applications.

Artificial Intelligence and Computing Logic (Innovation Management and Computing)

This book is an introduction to a functorial model theory based on infinitary language categories. The author introduces the properties and foundation of these categories before developing a model theory for functors starting with a countable fragment of an infinitary language. He also presents a new technique for generating generic models with categories by inventing infinite language categories and functorial model theory. In addition, the book covers string models, limit models, and functorial models.

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Books by Nourani, Cyrus F.