A systematic exposition of Reinhart's Theta System, with extensive annotations and essays that capture subsequent developments. One of Tanya Reinhart's major contributions to linguistic theory is the development of the Theta System (TS), a theory of the interface between the system of concepts and the linguistic computational system. Reinhart introduced her theory in a seminal paper, “The …
As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robo…
Evolutionary robotics (ER) aims to apply evolutionary computation techniques to the design of both real and simulated autonomous robots. The Horizons of Evolutionary Robotics offers an authoritative overview of this rapidly developing field, presenting state-of-the-art research by leading scholars. The result is a lively, expansive survey that will be of interest to computer scientists, robotic…
Describes how water politics, cars and freeways, and immigration and globalization have shaped Los Angeles, and how innovative social movements are working to make a more livable and sustainable city. Los Angeles—the place without a sense of place, famous for sprawl and overdevelopment and defined by its car-clogged freeways—might seem inhospitable to ideas about connecting with nature a…
"A Bradford book.""In Hot Thought, Paul Thagard describes the mental mechanisms - cognitive, neural, molecular, and social - that interact to produce different kinds of human thinking, from everyday decision making to legal reasoning, scientific discovery, and religious belief, and he discusses when and how thinking and reasoning should be emotional." "Thagard argues that an understanding of em…
In this work, Marcin Milkowski argues that the mind can be explained computationally because it is itself computational - whether it engages in mental arithmetic, parses natural language, or processes the auditory signals that allow us to experience music.OCLC-licensed vendor bibliographic record.
"Sparse modeling is a rapidly developing area at the intersection of statistical learning and signal processing, motivated by the age-old statistical problem of selecting a small number of predictive variables in high-dimensional datasets. This collection describes key approaches in sparse modeling, focusing on its applications in fields including neuroscience, computational biology, and comput…
The often impassioned nature of environmental conflicts can be attributed to the fact that they are bound up with our sense of personal and social identity. Environmental identity--how we orient ourselves to the natural world--leads us to personalize abstract global issues and take action (or not) according to our sense of who we are. We may know about the greenhouse effect--but can we give up …
Parents routinely turn to prenatal testing to screen for genetic or chromosomal disorders or to learn their child's sex. What if they could use similar prenatal interventions to learn (or change) their child's sexual orientation? Bioethicists have debated the moral implications of this still-hypothetical possibility for several decades. Some commentators fear that any scientific efforts to unde…
Digital technologies offer the possibility of capturing, storing, and manipulating movement, abstracting it from the body and transforming it into numerical information. In Moving without a Body, Stamatia Portanova considers what really happens when the physicality of movement is translated into a numerical code by a technological system. Drawing on the radical empiricism of Gilles Deleuze and …