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Using a wealth of anecdotes, data from academic literature, and original research, this very accessible little book highlights how we all struggle to cope with the maelstrom of choices, influences and experiences that come our way. The authors have slogged through piles of dry research papers to provide many wonderful nuggets of information and surprising insights. For example: Why is an upside-down red triangle such a powerful warning sign on the road? What is the best kind of alibi? What makes the number 7 so special? Why is it better to whisper words of love into the left ear? Will that recent marriage last? Why is it that the French eat snails but not slugs? The reader will discover the amazing tools and shortcuts that millennia of evolution have built into our brains. And this knowledge is power! Knowing more about how the human mind connects the dots helps us understand why decision-making is so tricky. With insights from evolutionary psychology, we become better equipped to understand ourselves and others, and to interact and communicate more effectively.

Psychology --- Social Sciences --- Thought and thinking. --- Mind --- Thinking --- Thoughts --- Educational psychology --- Philosophy --- Intellect --- Logic --- Perception --- Psycholinguistics --- Self --- Psychology. --- Consciousness. --- Animal behavior. --- Popular Science in Psychology. --- Cognitive Psychology. --- Behavioral Sciences. --- Data-driven Science, Modeling and Theory Building. --- Animals --- Animals, Habits and behavior of --- Behavior, Animal --- Ethology --- Animal psychology --- Zoology --- Ethologists --- Psychology, Comparative --- Apperception --- Mind and body --- Spirit --- Behavioral sciences --- Mental philosophy --- Science, Mental --- Human biology --- Soul --- Mental health --- Behavior --- Cognitive psychology. --- Behavioral sciences. --- Sociophysics. --- Econophysics. --- Economics --- Statistical physics --- Mathematical sociology --- Psychology, Cognitive --- Cognitive science --- Statistical methods

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Using a wealth of anecdotes, data from academic literature, and original research, this very accessible little book highlights how we all struggle to cope with the maelstrom of choices, influences and experiences that come our way. The authors have slogged through piles of dry research papers to provide many wonderful nuggets of information and surprising insights. For example: Why is an upside-down red triangle such a powerful warning sign on the road? What is the best kind of alibi? What makes the number 7 so special? Why is it better to whisper words of love into the left ear? Will that recent marriage last? Why is it that the French eat snails but not slugs? The reader will discover the amazing tools and shortcuts that millennia of evolution have built into our brains. And this knowledge is power! Knowing more about how the human mind connects the dots helps us understand why decision-making is so tricky. With insights from evolutionary psychology, we become better equipped to understand ourselves and others, and to interact and communicate more effectively.

Science --- Cognitive psychology --- Psychology --- Social psychology --- Sociology --- Economics --- Statistical physics --- Pure sciences. Natural sciences --- Linguistics --- gedrag (mensen) --- popularisering wetenschap --- populaire cultuur --- psychologie --- sociologie --- bevolking --- economie --- wetenschap --- cognitieve psychologie

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Control Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing. The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing the process behavior, analysis of this model and design of a control to achieve the desired objectives. It is divided into three Parts. The first part of the text addresses modeling aspects through state space and input-output representations. The notion of the internal state of a system (for example mechanical, thermal or electrical), as well as its description using a finite number of variables, is also emphasized. The second part is devoted to the stability analysis of an equilibrium point. The authors present classical tools for stability analysis, such as linearization techniques and Lyapunov functions. Central to Control Theory are the notions of feedback and of closed-loop, and the third part of the textbook describes the linear control synthesis in a continuous and discrete-time framework and also in a probabilistic context. Quadratic optimization and Kalman filtering are presented, as well as the polynomial representation, a convenient approach to reject perturbations on the system without making the control law more complex. Throughout the text, different examples are developed, both in the chapters and in the exercises.

Control theory --- Systems engineering --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Environmental Engineering --- Control theory. --- Systems engineering. --- Engineering systems --- System engineering --- Design and construction --- Environment. --- Computer simulation. --- Control engineering. --- Environmental engineering. --- Biotechnology. --- Environmental Engineering/Biotechnology. --- Control. --- Simulation and Modeling. --- Engineering --- Industrial engineering --- System analysis --- Dynamics --- Machine theory --- Control and Systems Theory. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Chemical engineering --- Genetic engineering --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Environmental control --- Environmental effects --- Environmental stresses --- Environmental health --- Environmental protection --- Pollution --- Sustainable engineering

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Control Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing. The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing the process behavior, analysis of this model and design of a control to achieve the desired objectives. It is divided into three Parts. The first part of the text addresses modeling aspects through state space and input-output representations. The notion of the internal state of a system (for example mechanical, thermal or electrical), as well as its description using a finite number of variables, is also emphasized. The second part is devoted to the stability analysis of an equilibrium point. The authors present classical tools for stability analysis, such as linearization techniques and Lyapunov functions. Central to Control Theory are the notions of feedback and of closed-loop, and the third part of the textbook describes the linear control synthesis in a continuous and discrete-time framework and also in a probabilistic context. Quadratic optimization and Kalman filtering are presented, as well as the polynomial representation, a convenient approach to reject perturbations on the system without making the control law more complex. Throughout the text, different examples are developed, both in the chapters and in the exercises.

Environmental protection. Environmental technology --- Engineering sciences. Technology --- Biotechnology --- Artificial intelligence. Robotics. Simulation. Graphics --- milieukunde --- vormgeving --- milieu --- biotechnologie --- mineralen (chemie) --- simulaties --- mijnbouw --- controleleer --- KI (kunstmatige intelligentie) --- milieutechnologie --- AI (artificiële intelligentie)

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The focus of the present volume is stochastic optimization of dynamical systems in discrete time where - by concentrating on the role of information regarding optimization problems - it discusses the related discretization issues. There is a growing need to tackle uncertainty in applications of optimization. For example the massive introduction of renewable energies in power systems challenges traditional ways to manage them. This book lays out basic and advanced tools to handle and numerically solve such problems and thereby is building a bridge between Stochastic Programming and Stochastic Control. It is intended for graduates readers and scholars in optimization or stochastic control, as well as engineers with a background in applied mathematics.

Mathematics. --- Continuous Optimization. --- Probability Theory and Stochastic Processes. --- Distribution (Probability theory). --- Mathématiques --- Distribution (Théorie des probabilités) --- Distribution (Probability theory. --- Stochastic control theory. --- Stochastic models. --- Stochastic programming. --- Mathematics --- Civil & Environmental Engineering --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Mathematical Statistics --- Operations Research --- Models, Stochastic --- Mathematical optimization. --- Probabilities. --- Mathematical models --- Linear programming --- Control theory --- Stochastic processes --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis