A new conceptualization of the relationship between the systemic and the iconic in real-time simulations that distinguishes among four levels of forming.Computer simulations conceive objects and situations dynamically, in their changes and progressions. In The Systemic Image, Inge Hinterwaldner considers not only the technical components of dynamic computer simulations but also the sensory aspects of the realization. Examining the optic, the acoustic, the tactile, and the sensorimotor impressions that interactive real-time simulations provide, she finds that iconicity plays a dominant yet unexpected role. Based on this, and close readings of a series of example works, Hinterwaldner offers a new conceptualization of the relationship between systemic configuration and the iconic aspects in these calculated complexes.Hinterwaldner discusses specifications of sensorialization, necessary to make the simulation dynamic perceivable. Interweaving iconicity with simulation, she explores the expressive possibilities that can be achieved under the condition of continuously calculated explicit changes. She distinguishes among four levels of forming: the systems perspective, as a process and schema that establishes the most general framework of simulations; the mathematical model, which marks off the boundaries of the simulation's actualization; the iconization and its orientation toward the user; and interaction design, necessary for the full unfolding of the simulation. The user makes manifest what is initially latent. Viewing the simulation as an interface, Hinterwaldner argues that not only does the sensorially designed aspect of the simulation seduce the user but the user also makes an impact on the simulation—on the dynamic and perhaps on the iconization, although not on the perspectivation. The influence is reciprocal.
A novel theoretical framework that describes a possible rationale for the regularity in how we move, how we learn, and how our brain predicts events.In Biological Learning and Control, Reza Shadmehr and Sandro Mussa-Ivaldi present a theoretical framework for understanding the regularity of the brain's perceptions, its reactions to sensory stimuli, and its control of movements. They offer an account of perception as the combination of prediction and observation: the brain builds internal models that describe what should happen and then combines this prediction with reports from the sensory system to form a belief.Considering the brain's control of movements, and variations despite biomechanical similarities among old and young, healthy and unhealthy, and humans and other animals, Shadmehr and Mussa-Ivaldi review evidence suggesting that motor commands reflect an economic decision made by our brain weighing reward and effort. This evidence also suggests that the brain prefers to receive a reward sooner than later, devaluing or discounting reward with the passage of time; then as the value of the expected reward changes in the brain with the passing of time (because of development, disease, or evolution), the shape of our movements will also change.The internal models formed by the brain provide the brain with an essential survival skill: the ability to predict based on past observations. The formal concepts presented by Shadmehr and Mussa-Ivaldi offer a way to describe how representations are formed, what structure they have, and how the theoretical concepts can be tested.
A scientist's exploration of the working of memory begins with a story by Borges about a man who could not forget.Imagine the astonishment felt by neuroscientist Rodrigo Quian Quiroga when he found a fantastically precise interpretation of his research findings in a story written by the great Argentinian fabulist Jorge Luis Borges fifty years earlier. Quian Quiroga studies the workings of the brain—in particular how memory works—one of the most complex and elusive mysteries of science. He and his fellow neuroscientists have at their disposal sophisticated imaging equipment and access to information not available just twenty years ago. And yet Borges seemed to have imagined the gist of Quian Quiroga's discoveries decades before he made them.The title character of Borges's "Funes the Memorious" remembers everything in excruciatingly particular detail but is unable to grasp abstract ideas. Quian Quiroga found neurons in the human brain that respond to abstract concepts but ignore particular details, and, spurred by the way Borges imagined the consequences of remembering every detail but being incapable of abstraction, he began a search for the origins of Funes. Borges's widow, María Kodama, gave him access to her husband's personal library, and Borges's books led Quian Quiroga to reread earlier thinkers in philosophy and psychology. He found that just as Borges had perhaps dreamed the results of Quian Quiroga's discoveries, other thinkers—William James, Gustav Spiller, John Stuart Mill—had perhaps also dreamed a story like "Funes."With Borges and Memory, Quian Quiroga has given us a fascinating and accessible story about the workings of the brain that the great creator of Funes would appreciate.
How the interface has moved from the PC into cultural platforms, as seen in a series of works of net art, software art and electronic literature.The computer interface is both omnipresent and invisible, at once embedded in everyday objects and characterized by hidden exchanges of information between objects. The interface has moved from office into culture, with devices, apps, the cloud, and data streams as new cultural platforms. In The Metainterface, Christian Ulrik Andersen and Søren Bro Pold examine the relationships between art and interfaces, tracing the interface's disruption of everyday cultural practices. They present a new interface paradigm of cloud services, smartphones, and data capture, and examine how particular art forms—including net art, software art, and electronic literature—seek to reflect and explore this paradigm.Andersen and Pold argue that despite attempts to make the interface disappear into smooth access and smart interaction, it gradually resurfaces; there is a metainterface to the displaced interface. Art can help us see this; the interface can be an important outlet for aesthetic critique. Andersen and Pold describe the “semantic capitalism” of a metainterface industry that captures user behavior; the metainterface industry's disruption of everyday urban life, changing how the city is read, inhabited, and organized; the ways that the material displacement of the cloud affects the experience of the interface; and the potential of designing with an awareness of the language and grammar of interfaces.
Experts survey the latest research on dolphin communication and cognition, offering a comprehensive reference to findings in the laboratory and from the field.Dolphin researchers have collected an impressive amount of data over the last twenty years, thanks to advances in technology for monitoring, recording, and analyzing dolphin behavior as well as increasing interest in exploring and modeling dolphins' cognitive capacities. This volume offers a comprehensive reference to the latest research on dolphin communication and cognition, reporting on findings from both the laboratory and the field. The contributors review a wide range of topics, including vocalization, abstract reasoning abilities, imitation and learning, social cognition, echolocation, and ethical issues in working with cetaceans.The book begins by examining the dolphin brain and its evolution, the anatomy of its unique sound production and reception systems, and its sensory abilities. It next treats communication, reviewing the complexity of dolphins' vocalization, and then describes research on cognition, from both experimental and developmental perspectives. Finally, the book considers the future of dolphin research, including a series of provocative questions that remain unanswered, posed by the volume's expert contributors.Contributors Mats Amundin, Whitlow Au, Ted W. Cranford, Nicola Erdsack, John Ford, Wolf Hanke, Louis M. Herman, Denise L. Herzing, Christine M. Johnson, Petr Krysl, Stan Kuczaj, Marc Lammers, Lori Marino, Paul Nachtigall, Julie Oswald, Adam A. Pack, Heidi Pearson, Sam Ridgway, Jeanette Thomas, Randall Wells, Thomas I. White, Hal Whitehead, Kelley Winship, Bernd Würsig
An analysis of the loss in performance caused by selfish, uncoordinated behavior in networks.
The first interdisciplinary investigation of the cultural context of enactive embodiment, offering perspectives that range from the neurophilosophical to the anthropological.
How technical drawings shaped early engineering practice. Technical drawings by the architects and engineers of the Renaissance made use of a range of new methods of graphic representation. These drawings--among them Leonardo da Vinci's famous drawings of mechanical devices--have long been studied for their aesthetic qualities and technological ingenuity, but their significance for the architects and engineers themselves is seldom considered. The essays in Picturing Machines 1400-1700 take this alternate perspective and look at how drawing shaped the practice of early modern engineering. They do so through detailed investigations of specific images, looking at over 100 that range from sketches to perspective views to thoroughly constructed projections. In early modern engineering practice, drawings were not merely visualizations of ideas but acted as models that shaped ideas. Picturing Machines establishes basic categories for the origins, purposes, functions, and contexts of early modern engineering illustrations, then treats a series of topics that not only focus on the way drawings became an indispensable means of engineering but also reflect the main stages in their historical development. The authors examine the social interaction conveyed by early machine images and their function as communication between practitioners; the knowledge either conveyed or presupposed by technical drawings, as seen in those of Giorgio Martini and Leonardo; drawings that required familiarity with geometry or geometric optics, including the development of architectural plans; and technical illustrations that bridged the gap between practical and theoretical mechanics.
An introduction to generative phonology using tools of basic set theory, logic, and combinatorics. This textbook introduces phonological theory as a branch of cognitive science for students with minimal background in linguistics. The authors use basic math and logic, including set theory, some rules of inference, and basic combinatorics, to explain phonology, and use phonology to teach the math and logic. The text is unique in its focus on logical analysis, its use of toy data, and its provision of some interpretation rules for its phonological rule syntax. The book's eight parts cover preliminary and background material; the motivation for phonological rules; the development of a formal model for phonological rules; the basic logic of neutralization rules; the traditional notions of allophony and complementary distribution; the logic of rule interaction, presented in terms of function composition; a survey of such issues as length, tone, syllabification, and metathesis; and features and feature logic, with a justification of decomposing segments into features and treating segments as sets of (valued) features. End-of-chapter exercises help students apply the concepts presented. Much of the discussion and many of the exercises rely on toy data, but more "real" data is included toward the end of the book. Exercises available online can be used as homework or in-class quizzes.
A new way to understand expressive interaction, focusing on the dynamic, fast, pre-reflective processes underlying interactions with music. The expressive moment is that point in time when we grasp a situation and respond quickly, even before we are aware of it. In this book, Marc Leman argues that expression drives this kind of interaction, and he proposes a general framework for understanding expressive interactions. He focuses on the dynamic, fast, and pre-reflective processes underlying our interactions with music--whether we are playing an instrument, dancing, listening, or using new interactive technologies. Music offers a well-established domain for studying these fast and interactive processes, and Leman argues that understanding the power of expressive interaction through music may help us understand cognitive processing in other domains, including language, human action coordination, human-animal interaction, and human-machine interaction. Leman regards expressive interactions with music as energizing and empowering. He argues that music is based on patterns that intervene with a reinforcing loop in the human brain, strengthening learning, motivation, and reward. He argues further that the reinforcing effect is influenced by the interaction flow, by fast processes that handle expressive qualities on the fly. Leman sets out the framework in which expressive interaction is situated, describing, among other things, a pragmatic model of communication in which the fundamental components are enactment and dynamics. He looks in more detail at the cognitive-motivational architecture, discussing sensorimotor and motivational schemes. Finally, he discusses applications for the concepts behind expressive motivation in such fields as sports, entertainment, rehabilitation, multimedia art, and music education.
Why the card catalog--a "paper machine" with rearrangeable elements--can be regarded as a precursor of the computer. Today on almost every desk in every office sits a computer. Eighty years ago, desktops were equipped with a nonelectronic data processing machine: a card file. In Paper Machines, Markus Krajewski traces the evolution of this proto-computer of rearrangeable parts (file cards) that became ubiquitous in offices between the world wars. The story begins with Konrad Gessner, a sixteenth-century Swiss polymath who described a new method of processing data: to cut up a sheet of handwritten notes into slips of paper, with one fact or topic per slip, and arrange as desired. In the late eighteenth century, the card catalog became the librarian's answer to the threat of information overload. Then, at the turn of the twentieth century, business adopted the technology of the card catalog as a bookkeeping tool. Krajewski explores this conceptual development and casts the card file as a "universal paper machine" that accomplishes the basic operations of Turing's universal discrete machine: storing, processing, and transferring data. In telling his story, Krajewski takes the reader on a number of illuminating detours, telling us, for example, that the card catalog and the numbered street address emerged at the same time in the same city (Vienna), and that Harvard University's home-grown cataloging system grew out of a librarian's laziness; and that Melvil Dewey (originator of the Dewey Decimal System) helped bring about the technology transfer of card files to business.
How we can invent—but not predict—the future of cities.We cannot predict future cities, but we can invent them. Cities are largely unpredictable because they are complex systems that are more like organisms than machines. Neither the laws of economics nor the laws of mechanics apply; cities are the product of countless individual and collective decisions that do not conform to any grand plan. They are the product of our inventions; they evolve. In Inventing Future Cities, Michael Batty explores what we need to understand about cities in order to invent their future.Batty outlines certain themes—principles—that apply to all cities. He investigates not the invention of artifacts but inventive processes. Today form is becoming ever more divorced from function; information networks now shape the traditional functions of cities as places of exchange and innovation. By the end of this century, most of the world's population will live in cities, large or small, sometimes contiguous, and always connected; in an urbanized world, it will be increasingly difficult to define a city by its physical boundaries.Batty discusses the coming great transition from a world with few cities to a world of all cities; argues that future cities will be defined as clusters in a hierarchy; describes the future “high-frequency,” real-time streaming city; considers urban sprawl and urban renewal; and maps the waves of technological change, which grow ever more intense and lead to continuous innovation—an unending process of creative destruction out of which future cities will emerge.
"This book provides a longue durâee story examining the dynamic history of predictive methods and values in sciences--and particularly in engineering and other applied sciences--which is crucial to understanding today's culture of prediction"--
A multidisciplinary examination of the phenomenon of collaboration to expand knowledge and inform future activities.Human existence depends critically on how well diverse social-cultural-political groups can collaborate. Yet the phenomenon of collaboration itself is ill-defined, badly understood, and there is no straightforward formula for its successful realization. In The Nature and Dynamics of Collaboration, edited by Paul F.M.J. Verschure et al., experts from wide-ranging disciplines examine how human collaboration arises, breaks down, and potentially recovers. They explore the different contexts, boundary conditions, and drivers of collaboration to expand understanding of the underlying dynamic, multiscale processes, in an effort to increase chances for ethical, sustainable, and productive collaboration in the future.This volume is accompanied by twenty-four podcasts, which provide insights from real-world examples.ContributorsAsaf Bachrach, Kevin Bauer, Jenna Bednar, Eric D. Beinhocker, Johan Bollen, Federica Carugati, Esther Chevrot-Bianco, Michael Chwe, A. C. C. Coolen, Tamas David-Barrett, Simon DeDeo, L. Zachary DuBois, Ismael T. Freire, Dorthe Døjbak Håkonsson, Rebecca D. Hardin, Sebastian Kahl, Heidi Keller, Mette Løvschal, Jônatas Manzolli, George E. Marcus, Marcia L. McLain, Stephanie Musgrave, Melody N.Ndzenyuiy, Chris J. C. Nierstrasz, Raul Pacheco-Vega, Scott E.Page, Ella Paldam, Bhavani R. Rao, Andreas Roepstorff, Karthik Sankaranarayanan, Dennis Snower, Sidney Strauss, Justin Sulik, Veena Suresh, Kristian Tylén, Robert Van der Laarse, Sander E.van der Leeuw, Paul F. M. J. Verschure, Alicia von Schenk, Ferdinand von Siemens
An international overview of how policy makers, curriculum developers, and school practitioners can integrate computational thinking into K–12 curricula.In today’s digital society, computational thinking (CT) is a critical component of all children’s education. In Computational Thinking Curricula in K–12, editors Harold Abelson and Siu-Cheung Kong present a range of professional perspectives on the most effective ways to integrate CT into school curricula. Their edited volume, which offers an overview of educational policy, curriculum development, school implementation, and classroom practice, will appeal especially to policy makers, curriculum developers, school practitioners, and educational researchers. The essays cover twelve countries and regions across three continents: Australia, China, Finland, Hong Kong, India, Israel, New Zealand, Singapore, South Korea, Spain, Taiwan, and the United Kingdom, with a particular emphasis on Asia.A companion to the editors’ earlier Computational Thinking Education in K–12, this book consists of two sections: 1) educational policy and curriculum development and 2) school implementation and classroom practice. The authors delve into issues of regional history; governmental planning; official initiatives; leadership commitment; curriculum design; pedagogical implementation; equity, diversity, and inclusion; assessment, including longitudinal assessment across age groups; formal and informal learning approaches to CT; and teacher development. Specific topics include core competencies and CT education, robotics education and CT, AI and CT, and game-based platforms for computational problem-solving. The varying ways that CT is being integrated into the early grades, in particular, presents an interesting case study in international comparative education.
"Hedgehogs, Killing, and Kindness explores the complex ways in which various human actors interact with hedgehogs and other species, and the multifaceted modes of care--sometimes violent, often ambiguous--in contemporary species conservation and wildlife rehabilitation"--
"An educational ethnography focusing on the uses of technology within a purposely inclusive elementary school that integrates students with and without disabilities in the same classroom setting"--
"A demonstration of the superiority of the "fast and frugal heuristics" model over statistical analysis for making business decisions"--
"A thought experiment by a prominent bioethicist on how unintended pregnancies can be drastically curtailed using currently available methods"--
"An argument for the importance of sadness in human life, drawing broadly on the cognitive sciences and stemming from the author's deep research into music"--
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