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Intelligent decision making for solving multiobject, multicombinatory problems and models of cellular automata for continuous improvement

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Advances in Learning Automata and Intelligent Optimization

This book is devoted to the leading research in applying learning automaton (LA) and heuristics for solving benchmark and real-world;

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New Methods and Paradigms for Modeling Dynamic Processes Based on Cellular Automata

well as help them in making decisions in various situations of their lives. To implement intelligent functions for various purposes, numerous;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Machine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for;

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Integrated Applications of Cellular Automata

versatility of cellular automata as a model for a diversity of complex systems. This book is an attempt to bring across the efforts of engineers and;

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Multicriteria Decision Aid And Artificial Intelligence

Presents recent advances in both models and systems for intelligent decision making. Organisations often face complex decisions requiring;

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Reversibility and Universality

automata, complexity of Turing machines, universality of cellular automata, regular and context-free array grammars, and undecidability. His high;

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Barriers and Bounds to Rationality

physicists, to the study of economic systems. This book is a collection of his pathbreaking articles on the application of cellular automata and;

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Cellular Automata

This book constitutes the proceedings of the 12th International Conference on Cellular Automata for Research and Industry, ACRI 2016;

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Cellular Automata: Analysis and Applications

allows us to define self-similar limit sets. Models for particle motion show how to bridge the gap between cellular automata and partial;

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Cellular Automata

allows us to define self-similar limit sets. Models for particle motion show how to bridge the gap between cellular automata and partial;

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Cellular Automata Modeling of Physical Systems

This book provides a self-contained introduction to cellular automata and lattice Boltzmann techniques. Beginning with a chapter;

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The Universe as Automaton

conceptual developments of cellular automata. Going beyond the numerical experiments of Steven Wolfram, it is argued that cellular automata must be;

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Cellular Automata

dispersion of aphids and ladybugs in a block of citric trees; and the reversibility of cellular automata.;

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Sustainable Transportation and Smart Logistics

for transportation logistics problem-solving and decision-making. The book presents an overview of the intersections between sustainability;

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Cellular Automata Theory And Experiment

Cellular automata, dynamic systems in which space and time are discrete, are yielding applications in both the physical and natural;

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Cellular Automata

This book constitutes the proceedings of the 11th International Conference on Cellular Automata for Research and Industry, ACRI 2014, held;

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Cellular Automata

This book constitutes the refereed proceedings of the 8th International Conference on Cellular Automata for Research and Industry, ACRI;

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Cellular Automata

style, makes this book a very approachable and inclusive source for understanding the concepts and applications of cellular automata. The highly;

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Intelligent Decision Making in Quality Management

management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent;

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An Introduction to Business Systems Analysis

priorities, decision making, problem solving, and process improvement.;

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Applied Intelligent Decision Making in Machine Learning

, classification, clustering, pattern matching, feature selection, and deep learning in the decision-making process for several diversified applications;

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Intelligent Decision Technologies 2018

in the field of intelligent decision-making. The range of topics explored is wide, and includes methods for decision-making, decision support;

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The A3 Workbook

component of continuous quality improvement. This workbook provides a practical tool for solving specific problems or for making a specific;

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The A3 Workbook

component of continuous quality improvement. This workbook provides a practical tool for solving specific problems or for making a specific;

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Multicriteria DecisionMaking Under Conditions of Uncertainty

of multiobjective as well as multiattribute decision-making, the classical approach to dealing with uncertainty of information and its generalization for;

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