Neural Plasticity For Rich And Uncertain Robotic Information Streams

Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features.

Models of adaptation and neural plasticity are often demonstrated in robotic scenarios with heavily pre-processed and regulated information streams to provide learning algorithms with appropriate, well timed, and meaningful data to match the assumptions of learning rules. On the contrary, natural scenarios are often rich of raw, asynchronous, overlapping and uncertain inputs and outputs whose relationships and meaning are progressively acquired, disambiguated, and used for further learning. Therefore, recent research efforts focus on neural embodied systems that rely less on well timed and pre-processed inputs, but rather extract autonomously relationships and features in time and space. In particular, realistic and more complete models of plasticity must account for delayed rewards, noisy and ambiguous data, emerging and novel input features during online learning. Such approaches model the progressive acquisition of knowledge into neural systems through experience in environments that may be affected by ambiguities, uncertain signals, delays, or novel features.

This title brings together work on embodiment, action, and the predictive mind. At the core is the vision of human minds as prediction machines - devices that constantly try to stay one step ahead of the breaking waves of sensory stimulation, by actively predicting the incoming flow. In every situation we encounter, that complex prediction machinery is already buzzing, proactively trying to anticipate the sensory barrage. The book shows in detail how this strange but potent strategy of self-anticipation ushers perception, understanding, and imagination simultaneously onto the cognitive stage.

This volume is about the many ways we perceive. In nineteen new essays, philosophers and cognitive scientists explore the nature of the individual senses, how and what they tell us about the world, and how they interrelate. They consider how the senses extract perceptual content from receptoral information and what kinds of objects we perceive and whether multiple senses ever perceive a single event. Questions pertaining to how many senses we have, what makes one sense distinct from another, and whether and why distinguishing senses may be useful feature prominently. Contributors examine the extent to which the senses act in concert, rather than as discrete modalities, and whether this influence is epistemically pernicious, neutral, or beneficial. Many of the essays engage with the idea that it is unduly restrictive to think of perception as a collation of contents provided by individual sense modalities. Rather, contributors contend that to understand perception properly we need to build into our accounts the idea that the senses work together. In doing so, they aim to develop better paradigms for understanding the senses and thereby to move toward a better understanding of perception.

Proceedings of the Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty Modeling and Analysis (ISUMA), held in Liverpool, UK, July 13-16, 2014. Sponsored by the Institute for Risk and Uncertainty and the Virtual Engineering Centre of the University of Liverpool, the Environmental Change Institute of the University of Oxford, and the Council on Disaster Risk Management of ASCE. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management, CDRM 9, contains 290 peer-reviewed papers that build upon recent significant advances in the quantification, mitigation, and management of risk and uncertainty. These papers focus on decision making and multi-disciplinary developments to address the demands and challenges evolving from the rapidly growing complexity of real-world problems. Topics include: risk assessment and management of critical infrastructure projects; performance-based and reliability-based structural optimization under uncertainty; verified and stochastic approaches to modeling and simulation under uncertainty; risk management for floods, tsunamis, earthquakes, and other natural hazards; risk and uncertainty modeling in transportation and logistics; and geotechnical risk, uncertainty, and decision making. These papers will be valuable to experts, decision-makers, and others involved in assessing, planning responses to, and managing vulnerability and risk.

Finalist for the 2011 Pulitzer Prize in General Nonfiction: “Nicholas Carr has written a Silent Spring for the literary mind.”—Michael Agger, Slate “Is Google making us stupid?” When Nicholas Carr posed that question, in a celebrated Atlantic Monthly cover story, he tapped into a well of anxiety about how the Internet is changing us. He also crystallized one of the most important debates of our time: As we enjoy the Net’s bounties, are we sacrificing our ability to read and think deeply? Now, Carr expands his argument into the most compelling exploration of the Internet’s intellectual and cultural consequences yet published. As he describes how human thought has been shaped through the centuries by “tools of the mind”—from the alphabet to maps, to the printing press, the clock, and the computer—Carr interweaves a fascinating account of recent discoveries in neuroscience by such pioneers as Michael Merzenich and Eric Kandel. Our brains, the historical and scientific evidence reveals, change in response to our experiences. The technologies we use to find, store, and share information can literally reroute our neural pathways. Building on the insights of thinkers from Plato to McLuhan, Carr makes a convincing case that every information technology carries an intellectual ethic—a set of assumptions about the nature of knowledge and intelligence. He explains how the printed book served to focus our attention, promoting deep and creative thought. In stark contrast, the Internet encourages the rapid, distracted sampling of small bits of information from many sources. Its ethic is that of the industrialist, an ethic of speed and efficiency, of optimized production and consumption—and now the Net is remaking us in its own image. We are becoming ever more adept at scanning and skimming, but what we are losing is our capacity for concentration, contemplation, and reflection. Part intellectual history, part popular science, and part cultural criticism, The Shallows sparkles with memorable vignettes—Friedrich Nietzsche wrestling with a typewriter, Sigmund Freud dissecting the brains of sea creatures, Nathaniel Hawthorne contemplating the thunderous approach of a steam locomotive—even as it plumbs profound questions about the state of our modern psyche. This is a book that will forever alter the way we think about media and our minds.