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The papers in this volume reflect the most recent research findings in cybernetics and systems research. They were selected from 298 draft final papers which were submitted to the conference by authors from more than 30 different countries from five continents.
This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.
This major work from renowned scholars in the field, analyzes the role of language and symbolic media and shows how this enables us to move to new levels of understanding of contemporary organizational issues. An introductory chapter examines the role and growing importance of discourse in the study of organizations. It critically evaluates the contributions of various disciplines and defines organizational discourse as a subject area. The chapters in the first section, Talk and Action, explore the relationship between discourse, action and interaction and their impact on organizational structure and behaviour. Stories and Sensemaking focuses on the analytical potential of the `story′ as a means of illuminating the ways in which organizational members make sense of their experience of organization. Discourse and Organization includes contributions which demonstrate the fundamental significance of linguistic uSAGE and discursive construction to the ontologies of `organization′. Finally, a concluding discourse explores the claims and limitations of organizational discourse as a means of enriching our understanding of organization.
Organizational Learning and Knowledge: Concepts, Methodologies, Tools and Applications demonstrates exhaustively the many applications, issues, and techniques applied to the science of recording, categorizing, using and learning from the experiences and expertise acquired by the modern organization. A much needed collection, this multi-volume reference presents the theoretical foundations, research results, practical case studies, and future trends to both inform the decisions facing today's organizations and the establish fruitful organizational practices for the future. Practitioners, researchers, and academics involved in leading organizations of all types will find useful, grounded resources for navigating the ever-changing organizational landscape.
Visual cognition is an important area of biocybernetics. It ranges from the filtering processes of early vision to the structural and functional organization of the visual centres, as well as, in higher animals, to the neuronal plasticity, the decision-making rules, the effect of noise, the role of attention, the ambiguity of patterns, and the time dimension. All these factors contribute to the cognitive interpretation of visual sensation that takes place in visual perception. A side field is machine vision, in which the signal processing known from animal vision is applied to the mobile robots responding to light stimulation.
Micromechanical manufacturing based on microequipment creates new possibi- ties in goods production. If microequipment sizes are comparable to the sizes of the microdevices to be produced, it is possible to decrease the cost of production drastically. The main components of the production cost - material, energy, space consumption, equipment, and maintenance - decrease with the scaling down of equipment sizes. To obtain really inexpensive production, labor costs must be reduced to almost zero. For this purpose, fully automated microfactories will be developed. To create fully automated microfactories, we propose using arti?cial neural networks having different structures. The simplest perceptron-like neural network can be used at the lowest levels of microfactory control systems. Adaptive Critic Design, based on neural network models of the microfactory objects, can be used for manufacturing process optimization, while associative-projective neural n- works and networks like ART could be used for the highest levels of control systems. We have examined the performance of different neural networks in traditional image recognition tasks and in problems that appear in micromechanical manufacturing. We and our colleagues also have developed an approach to mic- equipment creation in the form of sequential generations. Each subsequent gene- tion must be of a smaller size than the previous ones and must be made by previous generations. Prototypes of ?rst-generation microequipment have been developed and assessed.