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At the core of many engineering problems is the solution of sets of equa­ tions and inequalities, and the optimization of cost functions. Unfortunately, except in special cases, such as when a set of equations is linear in its un­ knowns or when a convex cost function has to be minimized under convex constraints, the results obtained by conventional numerical methods are only local and cannot be guaranteed. This means, for example, that the actual global minimum of a cost function may not be reached, or that some global minimizers of this cost function may escape detection. By contrast, interval analysis makes it possible to obtain guaranteed approximations of the set of all the actual solutions of the problem being considered. This, together with the lack of books presenting interval techniques in such a way that they could become part of any engineering numerical tool kit, motivated the writing of this book. The adventure started in 1991 with the preparation by Luc Jaulin of his PhD thesis, under Eric Walter's supervision. It continued with their joint supervision of Olivier Didrit's and Michel Kieffer's PhD theses. More than two years ago, when we presented our book project to Springer, we naively thought that redaction would be a simple matter, given what had already been achieved . . .

Interval analysis (Mathematics) --- 519.6 --- Analysis, Interval --- Arithmetic, Interval --- Interval arithmetic --- Interval mathematics --- Mathematics, Interval --- Mathematics --- Numerical analysis --- Computational mathematics. Numerical analysis. Computer programming --- Interval analysis (Mathematics). --- 519.6 Computational mathematics. Numerical analysis. Computer programming --- Software engineering. --- Computational intelligence. --- Computer science—Mathematics. --- System theory. --- Software Engineering/Programming and Operating Systems. --- Computational Intelligence. --- Math Applications in Computer Science. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Computer software engineering --- Engineering --- Philosophy

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In The Emerging Consensus of Social Systems Theory Bausch summarizes the works of over 30 major systemic theorists. He then goes on to show the converging areas of consensus among these out-standing thinkers. Bausch categorizes the social aspects of current systemic thinking as falling into five broadly thematic areas: designing social systems, the structure of the social world, communication, cognition and epistemology. These five areas are foundational for a theoretic and practical systemic synthesis. They were topics of contention in a historic debate between Habermas and Luhmann in the early 1970's. They continue to be contentious topics within the study of social philosophy. Since the 1970's, systemic thinking has taken great strides in the areas of mathematics, physics, biology, psychology, and sociology. This book presents a spectrum of those theoretical advances. It synthesizes what various strains of contemporary systems science have to say about social processes and assesses the quality of the resulting integrated explanations. Bausch gives a detailed study of the works of many present-day systems theorists, both in general terms, and with regard to social processes. He then creates and validates integrated representations of their thoughts with respect to his own thematic classifications. He provides a background of systemic thinking from an historical context, as well as detailed studies of developments in sociological, cognitive and evolutionary theory. This book presents a coherent, dynamic model of a self-organizing world. It proposes a creative and ethical method of decision-making and design. It makes explicit the relations between structure and process in the realms of knowledge and being. The new methodology that evolves in this book allows us to deal with enormous complexity, and to relate ideas so as to draw out previously unsuspected conclusions and syntheses. Therein lies the elegance and utility of this model.

#SBIB:316.21H10 --- #SBIB:022.TOND --- Het functionalisme en systeemdenken in de theoretische sociologie --- Social systems --- System theory. --- Philosophy. --- System theory --- Systems, Theory of --- Systems science --- Philosophy --- Science --- Sociology --- Social sciences. --- Philosophy and social sciences. --- Operations research. --- Decision making. --- Social Sciences, general. --- Methodology of the Social Sciences. --- Philosophy of the Social Sciences. --- Systems Theory, Control. --- Operations Research/Decision Theory. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- Social sciences and philosophy --- Social sciences --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Decision making

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This book is an abridged version of our two-volume opus Convex Analysis and Minimization Algorithms [18], about which we have received very positive feedback from users, readers, lecturers ever since it was published - by Springer-Verlag in 1993. Its pedagogical qualities were particularly appreciated, in the combination with a rather advanced technical material. Now [18] hasa dual but clearly defined nature: - an introduction to the basic concepts in convex analysis, - a study of convex minimization problems (with an emphasis on numerical al- rithms), and insists on their mutual interpenetration. It is our feeling that the above basic introduction is much needed in the scientific community. This is the motivation for the present edition, our intention being to create a tool useful to teach convex anal­ ysis. We have thus extracted from [18] its "backbone" devoted to convex analysis, namely ChapsIII-VI and X. Apart from some local improvements, the present text is mostly a copy of the corresponding chapters. The main difference is that we have deleted material deemed too advanced for an introduction, or too closely attached to numerical algorithms. Further, we have included exercises, whose degree of difficulty is suggested by 0, I or 2 stars *. Finally, the index has been considerably enriched. Just as in [18], each chapter is presented as a "lesson", in the sense of our old masters, treating of a given subject in its entirety.

Convex sets. --- Convex functions --- Convex sets --- Mathematical analysis --- Computers. --- Mathematical analysis. --- Analysis (Mathematics). --- Calculus of variations. --- Operations research. --- Management science. --- System theory. --- Theory of Computation. --- Analysis. --- Calculus of Variations and Optimal Control; Optimization. --- Operations Research, Management Science. --- Systems Theory, Control. --- Systems, Theory of --- Systems science --- Science --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Isoperimetrical problems --- Variations, Calculus of --- Maxima and minima --- 517.1 Mathematical analysis --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Philosophy --- Analyse convexe --- Programmation mathematique --- Programmation convexe

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Researches and developers of simulation models state that the Java program­ ming language presents a unique and significant opportunity for important changes in the way we develop simulation models today. The most important characteristics of the Java language that are advantageous for simulation are its multi-threading capabilities, its facilities for executing programs across the Web, and its graphics facilities. It is feasible to develop compatible and reusable simulation components that will facilitate the construction of newer and more complex models. This is possible with Java development environments. Another important trend that begun very recently is web-based simulation, i.e., and the execution of simulation models using Internet browser software. This book introduces the application of the Java programming language in discrete-event simulation. In addition, the fundamental concepts and prac­ tical simulation techniques for modeling different types of systems to study their general behavior and their performance are introduced. The approaches applied are the process interaction approach to discrete-event simulation and object-oriented modeling. Java is used as the implementation language and UML as the modeling language. The first offers several advantages compared to C++, the most important being: thread handling, graphical user interfaces (QUI) and Web computing. The second language, UML (Unified Modeling Language) is the standard notation used today for modeling systems as a collection of classes, class relationships, objects, and object behavior.

Programming --- Computer programming. --- Software engineering. --- Computer simulation. --- System theory. --- Programming languages (Electronic computers). --- Mathematical models. --- Programming Techniques. --- Software Engineering. --- Simulation and Modeling. --- Systems Theory, Control. --- Programming Languages, Compilers, Interpreters. --- Mathematical Modeling and Industrial Mathematics. --- Models, Mathematical --- Simulation methods --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- Systems, Theory of --- Systems science --- Science --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Model-integrated computing --- Computer software engineering --- Engineering --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Philosophy

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Autonomous agents have become a vibrant research and development topic in recent years attracting activity and attention from various areas. The basic agent concept incorporates proactive autonomous units with goal-directed-behaviour and communication capabilities. The book focuses on autonomous agents that can act in a goal directed manner under real time constraints and incomplete knowledge, being situated in a dynamic environment where resources may be restricted. To satisfy such complex requirements, the author improves, combines, and applies results from areas like planning, constraint programming, and local search. The formal framework developed is evaluated by application to the field of computer games, which fit the problem context very well since most of them are played in real time and provide a highly interactive environment where environmental situations are changing rapidly.

Intelligent agents (Computer software) --- Constraint programming (Computer science) --- Computer games --- Computer Science --- Engineering & Applied Sciences --- Computer games. --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Computer science. --- Computer communication systems. --- Computer programming. --- File organization (Computer science). --- Algorithms. --- Artificial intelligence. --- System theory. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Systems Theory, Control. --- Programming Techniques. --- Algorithm Analysis and Problem Complexity. --- Computer Communication Networks. --- Files. --- Application software --- Electronic games --- Computer programming --- Artificial intelligence --- Computer programs --- Systems theory. --- Computer software. --- Data structures (Computer scienc. --- Artificial Intelligence. --- Data Structures and Information Theory. --- Data structures (Computer science). --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Algorism --- Algebra --- Arithmetic --- Computers --- Electronic computer programming --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Systems, Theory of --- Systems science --- Science --- Distributed processing --- Foundations --- Programming --- Philosophy