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Evolutionary Robotics: From Algorithms to Implementations
Evolutionary Robotics: From Algorithms to Implementations
Modern robotics has moved from the industrial manufacturing environment to human environment for service and entertainment in the recent few years. The human environment is typically unstructured and quite often everchanging, the robot is required to be capable of independently learning the dynamic environment as well as continuously adjusting its...
Environmental Foresight and Models: A Manifesto
Environmental Foresight and Models: A Manifesto

Policy-makers and the public, it has famously been said, are more interested in the possibility of non-linear dislocations and surprises in the behaviour of the environment than in smooth extrapolations of current trends. The International Task Force in Forecasting Environmental Change (1993-1998) dedicated its work to developing procedures...

Environmental Chemistry and Toxicology of Mercury
Environmental Chemistry and Toxicology of Mercury

The book that looks at mercury's impact on the planet today

Recent research by the EPA has concluded that one in six women of childbearing age have unsafe levels of mercury in their bodies, which puts 630,000 newborn babies each year at risk of neurological impairment. Mercury poses severe risks to the health of animals and...

Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)
Markov Random Field Modeling in Image Analysis (Advances in Pattern Recognition)

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a image analysis or computer vision problem and how to find the optimal solution. The solution is defined in an optimization sense because the perfect solution is...

Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
Evolutionary Computation in Dynamic and Uncertain Environments (Studies in Computational Intelligence)
This book provides a compilation on the state-of-the-art and recent advances of evolutionary algorithms in dynamic and uncertain environments within a unified framework. The motivation for this book arises from the fact that some degree of uncertainty in characterizing any realistic engineering systems is inevitable. Representative methods for...
Swarming Landscapes: The Art of Designing For Climate Adaptation (Advances in Global Change Research)
Swarming Landscapes: The Art of Designing For Climate Adaptation (Advances in Global Change Research)

This book advocates a fresh approach to planning that anticipates, rather than reacts to, the changes in climate currently in process. Today’s spatial planning procedures rely on historical evidence instead of preparing for factors that by definition lie in the future, yet which are relatively uncontroversial: shortages of water, sea...

Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications
Fuzzy Surfaces in GIS and Geographical Analysis: Theory, Analytical Methods, Algorithms and Applications

Surfaces are a central to geographical analysis. Their generation and manipulation are a key component of geographical information systems (GISs). However, geographical surface data is often not precise. When surfaces are used to model geographical entities, the data inherently contains uncertainty in terms of both position and attribute....

Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)
Robust Signal Processing for Wireless Communications (Foundations in Signal Processing, Communications and Networking)
Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.

In this book, a systematic treatment of this practical design...

Modeling the Internet and the Web: Probabilistic Methods and Algorithms
Modeling the Internet and the Web: Probabilistic Methods and Algorithms
The World Wide Web is growing in size at a remarkable rate.  It is a huge evolving system and its data are rife with uncertainties.  Probability and statistics are the fundamental mathematical tools that enable us to model, reason and infer meaningful results from such data.  Modelling the Internet and the Web covers the...
Reliability-Based Design in Geotechnical Engineering: Computations and Applications
Reliability-Based Design in Geotechnical Engineering: Computations and Applications

Reliability-based design is the only engineering methodology currently available which can ensure self-consistency in both physical and probabilistic terms.  It is also uniquely compatible with the theoretical basis underlying other disciplines such as structural design. It is especially relevant as geotechnical design becomes subject to...

Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
Environment Learning for Indoor Mobile Robots: A Stochastic State Estimation Approach to Simultaneous Localization and Map Building
This monograph covers theoretical aspects of simultaneous localization and map building for mobile robots, such as estimation stability, nonlinear models for the propagation of uncertainties, temporal landmark compatibility, as well as issues pertaining the coupling of control and SLAM. One of the most relevant topics covered in this monograph is...
Coping with Uncertainty: Modeling and Policy Issues
Coping with Uncertainty: Modeling and Policy Issues
Uncertainties and risks have always been, and will remain, present; both in everybody’s life and in policy making. This presence is not always recognized because humans tend to perceive the world in a deterministic way, and in most cases succeed in somehow dealing with uncertainties. However, ignoring uncertainties often results in serious...
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