Wireless Sensors and Instruments explains the underlying principles of wireless instruments, which incorporate recent communications technology in instruments and instrumentation systems. This book extensively covers software support at the stand-alone instrument and network levels and includes numerous examples from industrial applications,...

New sequencing technologies have broken many experimental barriers to genome scale sequencing, leading to the extraction of huge quantities of sequence data. This expansion of biological databases established the need for new ways to harness and apply the astounding amount of available genomic information and convert it into substantive...

This book reveals a remarkable paradox: what your brain wants is frequently not what your brain needs. In fact, much of what makes our brains "happy" leads to errors, biases, and distortions, which make getting out of our own way extremely difficult.

Author David DiSalvo presents evidence from evolutionary and...

Genetic programming has emerged as an important computational methodology for solving complex problems in a diversity of disciplines. In an effort to foster collaborations and facilitate the exchange of ideas and information related to the rapidly advancing field of Genetic Programming, the annual Genetic Programming Theory and Practice...

With the increasing applications of intelligent robotic systems in various fields, the design and control of these systems have increasingly attracted interest from researchers. This edited book entitled Design and Control of Intelligent Robotic Systems in the book series of Studies in Computational Intelligence is a collection of some...

Over the years, I’ve created many homemade robots (some of which, only the builder could love). However, with each successive robotic generation, I try to gradually expand my knowledge of electronics, mechanics, machining, software, and art by experimenting with new techniques, features, or parts...

Markov networks and other probabilistic graphical modes have recently received an upsurge in attention from Evolutionary computation community, particularly in the area of Estimation of distribution algorithms (EDAs).  EDAs have arisen as one of the most successful experiences in the application of machine learning methods in...

The complex behavior of systems in nature is rooted in intricate mechanisms of interaction that often supersede human-made systems in terms of reliability, power efficiency, and computational capacity. Researchers have begun to realize that natural systems are a great source of inspiration for novel algorithms in computation and communication...