This edited volume of articles provides a state-of-the-art description of research in logic-based approaches to knowledge representation which combines approaches to reasoning with incomplete information that include partial, modal, and nonmonotonic logics. The collection contains two parts: foundations and case studies. The foundations section provides a general overview of partiality, multi-valued logics, use of modal logic to model partiality and resource-limited inference, and an integration of partial and modal logics. The case studies section provides specific studies of issues raised in the foundations section. Several of the case studies integrate modal and partial modal logics with nonmonotonic logics. Both theoretical and practical aspects of such integration are considered. Knowledge representation issues such as default reasoning, theories of action and change, reason maintenance, awareness, and automation of nonmonotonic reasoning are covered.

While uses and studies of XR technology within STEM-based education have been plentiful in recent years, there has been lesser or even, at times, a lack of coverage for this novel learning tool in the arts and humanities.Past and Future Presence aims to bridge some of that gap by presenting research-based theory and case studies of successful application and implementation of XR technology into postsecondary educational settings, ranging in topics from ancient to modern languages, classical and contemporary art, and reenvisioned historical scenes and events presented in ways never seen before. The studies also contemplate how this novel medium can enhance and supplement learning in classrooms and other formal or informal learning environments. The volume as a whole is intended to demonstrate to educators, scholars, and researchers in higher education the potential value of integrating XR technology into their classrooms and to provide a strong argument for college and university administrators to invest in training and development of new research and content for classrooms inside and outside of STEM. The authors of these chapters come from a diverse range of backgrounds at different stages of their careers, providing a broad crosssection of scholastic work within the humanities and arts. Each chapter offers a different angle or approach to incorporating XR technology into teaching or research within different subject areas. As the volume suggests, this technology also places additional emphasis on the humanity within the humanities, by focusing on increasing connection between users and different cultures, time periods, and perspectives.
 

A collection of essays considering developing models and new research possibilities in early modern digital studies.
 
Early modern digital studies is a thriving field that draws in strands from publishing, textual studies, digital humanities, and more. Yet it is also rapidly changing. This volume shows that early modern digital studies must be reconsidered from different perspectives as new projects and tools emerge, change, or disappear, and as we make advances into better understanding the past. The chapters in this volume explore how and what we publish (digitally and otherwise), how we value, evaluate, and sustain those publications and digital projects, and how these projects enable us to ask new research questions about early modern literature and culture. This collection does not seek to be a definitive or final state-of-the-field, but rather, a celebration of existing scholarship and an invitation to further scholarship about our ever-evolving practices.
 

Since the development of the semantic web, knowledge graphs (KGs) have been used by search engines, knowledge-engines and question-answering services as well as social networks. A knowledge graph, also known as a semantic network, represents and illustrates a network of real-world entities such as objects, events, situations, or concepts and the relationships between them. This information is usually stored in a graph database and visualized as a graph structure, prompting the term "knowledge graph". Knowledge graphs structure the information of entities, their properties and the relation between them.

Phantom Politics develops a new framework for understanding how humans, bots, and AI systems interact on social media platforms and structure political communication. Focusing primarily on X (formerly Twitter), it analyzes three cases: the 2017 Women’s March, the 2019 “Build the Wall” discourse, and U.S. federal election discourse in 2024, to demonstrate how X functions not only as a mirror of political trends but also as a driver of change in the digital public sphere. The book shows how political participation is shaped by both authentic political expression and bot-driven narratives. It introduces new concepts to explain how AI-generated political speech can appear human while remaining detached from a human speaker, raising urgent questions about agency, accountability, and political voice. At a time when AI technologies are becoming increasingly integrated into public life, the book examines how emerging forms of automation are reshaping democratic discourse, challenging traditional understandings of participation, and transforming the ways political ideas circulate, gain visibility, and influence public debate.

A compelling biography of Mark Weiser, a pioneering innovator whose legacy looms over the tech industry’s quest to connect everything—and who hoped for something better.

When developers and critics trace the roots of today’s Internet of Things—our smart gadgets and smart cities—they may single out the same creative source: Mark Weiser (1952–99), the first chief technology officer at Xerox PARC and the so-called “father of ubiquitous computing.” But Weiser, who died young at age 46 in 1999, would be heartbroken if he had lived to see the ways we use technology today. As John Tinnell shows in this thought-provoking narrative, Weiser was an outlier in Silicon Valley. A computer scientist whose first love was philosophy, he relished debates about the machine’s ultimate purpose. Good technology, Weiser argued, should not mine our experiences for saleable data or demand our attention; rather, it should quietly boost our intuition as we move through the world.
 
Informed by deep archival research and interviews with Weiser’s family and colleagues, The Philosopher of Palo Alto chronicles Weiser’s struggle to initiate a new era of computing. Working in the shadows of the dot-com boom, Weiser and his collaborators made Xerox PARC headquarters the site of a grand experiment. Throughout the building, they embedded software into all sorts of objects—coffeepots, pens, energy systems, ID badges—imbuing them with interactive features. Their push to integrate the digital and the physical soon caught on. Microsoft’s Bill Gates flagged Weiser’s Scientific American article “The Computer for the 21st Century” as a must-read. Yet, as more tech leaders warmed to his vision, Weiser grew alarmed about where they wished to take it. 
 
In this fascinating story of an innovator and a big idea, Tinnell crafts a poignant and critical history of today’s Internet of Things. At the heart of the narrative is Weiser’s desire for deeper connection, which animated his life and inspired his notion of what technology at its best could be.
 

In the context of information security, social engineering is the manipulation of people into performing actions or divulging information for the purpose of gathering, defrauding, or gaining unauthorized system access. While some of the most common forms of social engineering involve telephone or social networks where criminals pose as employees of targeted organizations, phishing accounts for 96% of all successful cyber-attacks. Governments and private organizations have responded through various means such as training employees, executing internal vulnerability assessments, and ad campaigns. Despite all these efforts, phishing continues to provide the primary cyber-attack vector for nefarious entities.

6G networks are expected to provide one-microsecond latency communication with a billion devices competing for resources 1000 times faster than current standards. Increases in network speed, heterogeneity, virtualization, better radio requirements and adaptive communications will place new demands on physical layer security. Moreover, IoT, blockchain, and artificial intelligence are enabling technologies that require rapid data rates, raising a significant burden on the network's physical layer, requiring that security must be attained at a fast pace, and that the network must be resilient to accommodate sudden changes to the configurations or the load.

Games are often a fun perk of a tech company job, and employees can “play to win” in the competition to succeed. But in studying “Behemoth” (a pseudonym for a top American tech company), Tongyu Wu discovered that gaming work culture was far more insidious.

Play to Submission shows how Behemoth’s games undermined and manipulated workers. They lost their work-life balance and the constant competition made labor organizing difficult. Nonetheless, many workers embraced management’s games as a chance to show off their “gamer” identities and create a workplace culture with privileged insiders and exiled outsiders, with female and migrant workers usually in the latter group. Moreover, Wu indicates this may be the future of work for high- and low-skilled and, creative workers in an environment where capitalists have heightened demands for technology and creativity.

Drawing from 13 months of ethnographic work, Wu presents a persistent reality in which the company reaps the reward of surplus productivity, leaving employees themselves in a highly competitive and sometimes precarious work position.

An authoritative look at how artificial intelligence both shapes and is shaped by the political and economic forces of the modern world.

As the effects of artificial intelligence are felt across economies and societies, many of its ramifications are still emerging. This volume brings together economists and political scientists to examine how AI intersects with regulation, military power, and political identity—offering analytical frameworks and identifying key open questions for future research.

The contributions address topics such as the allocation of property rights for AI inputs, trade-offs among alternative regulatory regimes, and the role of interest groups in shaping the technology’s trajectory. They explore how AI-related capabilities influence military effectiveness, resource allocation, and bargaining power among nations, and consider AI’s effects on political preferences, from the influence of AI-curated information on polarization to the implications of targeted political advertising and personalized education for national identity formation. The volume highlights key trade-offs that arise in AI’s political economy, and points toward empirical strategies and theoretical models that can advance understanding in this emerging field.

Drawing on diverse disciplinary perspectives, the collection provides a foundation for rigorous inquiry into how AI both shapes and is shaped by political and economic forces.

Portable Biosensors and Point-of-Care Systems describes the principles, design and applications of a new generation of analytical and diagnostic biomedical devices, characterized by their very small size, ease of use, multi-analytical capabilities and speed to provide handheld and mobile point-of-care (POC) diagnostics.

Large language models (LLMs) represent a profound breakthrough in artificial intelligence. More than just statistical tools, these vast neural networks undergo an intensive training process that unlocks unexpected, emergent abilities. Models like ChatGPT are now demonstrating a surprising grasp of reasoning, semantics, and real-world concepts, leading many researchers to ask: are we witnessing the first sparks of Artificial General Intelligence (AGI)?

Privacy by design is a proactive approach that promotes privacy and data protection compliance throughout project lifecycles when storing or accessing personal data. Privacy by design is essential for the Internet of Things (IoT) as privacy concerns and accountability are being raised in an increasingly connected world. What becomes of data generated, collected or processed by the IoT is clearly an important question for all involved in the development, manufacturing, applications and use of related technologies. But this IoT concept does not work well with the 'big data' trend of aggregating pools of data for new applications. Developers need to address privacy and security issues and legislative requirements at the design stage, and not as an afterthought.

A respected voice on technology shows how seemingly simple ads help dismantle democracy and public discourse.

Whether you’re intentionally shopping or casually browsing social media, something is following you: ads. Their creators seem to know your income bracket, politics, age, location, medical conditions, and tastes in clothing, food, and romantic partners. As advertising firms use predictive AI to discover your hot buttons and generative AI to push them, your online world becomes an increasingly bespoke—and isolated—place. The fervid competition around personalization in digital marketing has given rise to an ecosystem of advertisers, media outlets, tech companies, and retailers who monetize your data while threatening the health of our media, discourse, and sense of community. In this urgent book, award-winning author Joseph Turow shows how we got here, and how to change direction.

The Problem with Personalization shatters common beliefs about advertising history by showing that individualized ads are not new. Today’s AI-enabled advertisers draw on past aspirations and assumptions about personalization while weaponizing data in unprecedented ways that drive social fragmentation and the disappearance of shared social reality. Informed by interviews with marketing insiders and covering the latest technology advances, Turow accessibly explains how artificial intelligence sifts through our data to tag and target us wherever we go with personalized videos, pictorial billboards, audio messages, and more. A logical next step for advertiser support is tailored entertainment and news, a shift that further destroys the common ground necessary for a functioning democracy.

A must-read for all who care about the future of public discourse, The Problem with Personalization reveals how targeted advertising has altered how we’re seen and what we see in return.

A respected voice on technology shows how seemingly simple ads help dismantle democracy and public discourse.
 
Whether you’re intentionally shopping or casually browsing social media, something is following you: ads. Their creators seem to know your income bracket, your tastes in clothing, food, location, politics, age, medical conditions, and romantic partners. As predictive AI tells firms what your hot buttons are and generative AI produces messages tailored to those buttons, your online world becomes an increasingly comfortable—and isolated—place. The fervid competition around personalization in digital marketing, now ubiquitous, has given rise to an ecosystem of advertisers, media outlets, tech companies, and retailers who monetize your data, while threatening the health of our media, our discourse, and our sense of community. In this urgent book, award-winning author Joseph Turow shows how we got here, and how to change direction.
 
The Problem with Personalization shatters common beliefs about advertising history by showing that individualizing ads is not new. Today’s high-velocity AI versions draw on past aspirations and assumptions about personalization while weaponizing it in unprecedented ways that drive social fragmentation and the disappearance of shared social reality. Informed by interviews with marketing insiders and covering the latest technology advances, Turow accessibly explains how artificial intelligence sifts our data to tag and target us wherever we go with personalized videos, pictorial billboards, audio messages, and more. A logical next step for advertiser support is tailored entertainment and news, a shift that further destroys the common ground necessary for a functioning democracy.
 
A must-read for all who care about the future of public discourse, The Problem with Personalization reveals how targeted advertising has altered how we’re seen and what we see in return.

A deep dive into the political roots of advertising on the internet

The contemporary internet’s de facto business model is one of surveillance. Browser cookies follow us around the web, Amazon targets us with eerily prescient ads, Facebook and Google read our messages and analyze our patterns, and apps record our every move. In Profit over Privacy, Matthew Crain gives internet surveillance a much-needed origin story by chronicling the development of its most important historical catalyst: web advertising.

The first institutional and political history of internet advertising, Profit over Privacy uses the 1990s as its backdrop to show how the massive data-collection infrastructure that undergirds the internet today is the result of twenty-five years of technical and political economic engineering. Crain considers the social causes and consequences of the internet’s rapid embrace of consumer monitoring, detailing how advertisers and marketers adapted to the existential threat of the internet and marshaled venture capital to develop the now-ubiquitous business model called “surveillance advertising.” He draws on a range of primary resources from government, industry, and the press and highlights the political roots of internet advertising to underscore the necessity of political solutions to reign in unaccountable commercial surveillance.

The dominant business model on the internet, surveillance advertising is the result of political choices—not the inevitable march of technology. Unlike many other countries, the United States has no internet privacy law. A fascinating prehistory of internet advertising giants like Google and Facebook, Profit over Privacy argues that the internet did not have to turn out this way and that it can be remade into something better.

A consensus mechanism is the core component of a blockchain network, which ensures that every participant agrees on the state of the network in trustless environments. Until now, current blockchain networks have been using the proof-of-work (PoW) consensus mechanism, which has serious limitations such as huge energy consumption, low transaction processing capabilities, and centralization and scalability issues. To overcome these problems, a new consensus mechanism entitled proof-of-stake (PoS) has been developed. PoS has many advantages, including negligible energy consumption and very low consensus delay. Ethereum (the largest decentralized global software platform to create secured digital technology powered by blockchain technology and the blockchain of choice globally for all developers and enterprises) has just switched from PoW to PoS. As a result, this mechanism is expected to become a cutting-edge technology for future blockchain networks.

This short book presents the findings of a survey on the use of public libraries. The survey was conducted by the Social Science Research Council in 1947 under the auspices of the American Library Association, and conducted. Chapters cover materials housed in libraries, demographic findings on who uses libraries, and data on why patrons use libraries. The final chapter covers more speculative questions posed to the subjects of the study on new, extended services that libraries might offer in the future.