Provides analytical theories offered by innovative artificial intelligence computing methods in the archaeological domain.

Communicating archaeological heritage at the institutional level reflects on the current status of archeology, and a lack of communication between archaeologists and the general public only serves to widen the gap of understanding. As holders of this specific scientific expertise, effective openness and communication is essential to understanding how a durable future can be built through comprehension of the past and the importance of heritage sites and collections. Developing Effective Communication Skills in Archaeology is an essential research publication that examines archeology as a method for present researchers to interact and communicate with the past, and as a methods for identifying the overall trends in the needs of humanity as a whole. Presenting a vast range of topics such as digital transformation, artificial intelligence, and heritage awareness, this book is essential for archaeologists, journalists, heritage managers, sociologists, educators, anthropologists, museum curators, historians, communication specialists, industry professionals, researchers, academicians, and students.

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.

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.

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.

This book is the first research monograph that explores a new research field and practical applications produced by the combined use of two of the most advanced and powerful technologies available in today’s world – Artificial Intelligence (AI) and Augmented Reality (AR). It is written by a team of 50 researchers and practitioners from 16 countries, which has enabled a thorough coverage of emerging or previously unexplored subject areas. The authors consider practical, theoretical, and cultural aspects of “AI-powered AR” and “AR-enriched AI”, and their usage in a large variety of areas, such as education, medicine, healthcare, dentistry, pharmacy, active lifestyle, smart services, fashion, retail, recommender systems, and several others. Augmented Reality and Artificial Intelligence: The Fusion of Advanced Technologies is essential reading not only for researchers, practitioners and technology developers, but also for students (both graduates and undergraduates) and anyone who is interested in building a comprehensive understanding of the emerging fields of “intelligent augmented environments” and “artificial intelligence presented by augmented reality”.

Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also helping mathematicians, statisticians, and computer