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Author: Maria Elena Castiello Publisher: Springer Nature ISBN: 3030885674 Category : Technology & Engineering Languages : en Pages : 304
Book Description
This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.
Author: Shawn Graham Publisher: Berghahn Books ISBN: 1789207878 Category : Social Science Languages : en Pages : 209
Book Description
The use of computation in archaeology is a kind of magic, a way of heightening the archaeological imagination. Agent-based modelling allows archaeologists to test the ‘just-so’ stories they tell about the past. It requires a formalization of the story so that it can be represented as a simulation; researchers are then able to explore the unintended consequences or emergent outcomes of stories about the past. Agent-based models are one end of a spectrum that, at the opposite side, ends with video games. This volume explores this spectrum in the context of Roman archaeology, addressing the strengths, weaknesses, and opportunities of a formalized approach to computation and archaeogaming.
Author: Sebastian Rahtz Publisher: Routledge ISBN: 1134898347 Category : Social Science Languages : en Pages : 432
Book Description
Traditional methods of making archaeological data available are becoming increasingly inadequate. Thanks to improved techniques for examining data from multiple viewpoints, archaeologists are now in a position to record different kinds of data, and to explore that data more fully than ever before. The growing availablility of computer networks and other technologies means that communication should become increasingly available to international archaeologists. Will this result in the democratisation of archaeological knowledge on a global basis? Contributors from Western and Eastern Europe, the Far East, Africa and the Americas seek to answer this and other questions about the way in which modern technology is revolutionising archaeological knowledge.
Author: Imdat As Publisher: Routledge ISBN: 1000372375 Category : Architecture Languages : en Pages : 486
Book Description
Providing the most comprehensive source available, this book surveys the state of the art in artificial intelligence (AI) as it relates to architecture. This book is organized in four parts: theoretical foundations, tools and techniques, AI in research, and AI in architectural practice. It provides a framework for the issues surrounding AI and offers a variety of perspectives. It contains 24 consistently illustrated contributions examining seminal work on AI from around the world, including the United States, Europe, and Asia. It articulates current theoretical and practical methods, offers critical views on tools and techniques, and suggests future directions for meaningful uses of AI technology. Architects and educators who are concerned with the advent of AI and its ramifications for the design industry will find this book an essential reference.
Author: Papaodysseus, Constantin Publisher: IGI Global ISBN: 1609607872 Category : Computers Languages : en Pages : 330
Book Description
Computer science—especially pattern recognition, signal processing and mathematical algorithms—can offer important information about archaeological finds, information that is otherwise undetectable by the human senses and traditional archaeological approaches. Pattern Recognition and Signal Processing in Archaeometry: Mathematical and Computational Solutions for Archaeology offers state of the art research in computational pattern recognition and digital archaeometry. Computer science researchers in pattern recognition and machine intelligence will find innovative research methodologies combined to create novel and efficient computational systems, offering robust, exact, and reliable performance and results. Archaeologists, conservators, and historians will discover reliable automated methods for quickly reconstructing archaeological materials and benefit from the application of non-destructive, automated processing of archaeological finds.
Author: Jacob Gaboury Publisher: MIT Press ISBN: 0262045036 Category : Computers Languages : en Pages : 323
Book Description
How computer graphics transformed the computer from a calculating machine into an interactive medium, as seen through the histories of five technical objects. Most of us think of computer graphics as a relatively recent invention, enabling the spectacular visual effects and lifelike simulations we see in current films, television shows, and digital games. In fact, computer graphics have been around as long as the modern computer itself, and played a fundamental role in the development of our contemporary culture of computing. In Image Objects, Jacob Gaboury offers a prehistory of computer graphics through an examination of five technical objects--an algorithm, an interface, an object standard, a programming paradigm, and a hardware platform--arguing that computer graphics transformed the computer from a calculating machine into an interactive medium. Gaboury explores early efforts to produce an algorithmic solution for the calculation of object visibility; considers the history of the computer screen and the random-access memory that first made interactive images possible; examines the standardization of graphical objects through the Utah teapot, the most famous graphical model in the history of the field; reviews the graphical origins of the object-oriented programming paradigm; and, finally, considers the development of the graphics processing unit as the catalyst that enabled an explosion in graphical computing at the end of the twentieth century. The development of computer graphics, Gaboury argues, signals a change not only in the way we make images but also in the way we mediate our world through the computer--and how we have come to reimagine that world as computational.
Author: Adrian Mackenzie Publisher: MIT Press ISBN: 0262036827 Category : Social Science Languages : en Pages : 269
Book Description
If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought? Machine learning—programming computers to learn from data—has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners—either humans and machines or human-machine relations—situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms—writing code and writing about code—and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.
Author: James McGlade Publisher: Routledge ISBN: 1134525028 Category : Social Science Languages : en Pages : 558
Book Description
In a discipline which essentially studies how modern man came to be, it is remarkable that there are hardly any conceptual tools to describe change. This is due to the history of the western intellectual and scientific tradition, which for a long time favoured mechanics over dynamics, and the study of stability over that of change. Change was primarily deemed due to external events (in archaeology mainly climatic or 'environmental'). Revolutionary innovations in the natural and life sciences, often (erroneously) referred to as 'chaos theory', suggest that there are ways to overcome this problem. A wide range of processes can be described in terms of dynamic systems, and modern computing methods enable us to investigate many of their properties. This volume presents a cogent argument for the use of such approaches, and a discussion of a number of its aspects by a range of scientists from the humanities, social and natural sciences, and archaeology.
Author: Barcelo, Juan A.
Author: Barcelo, Juan A.
Author: Maria Elena Castiello
Author: Shawn Graham
Author: Jean Claude Gardin
Author: Sebastian Rahtz
Author: Imdat As
Author: Papaodysseus, Constantin
Author: Jacob Gaboury
Author: Adrian Mackenzie
Author: James McGlade