Alan Thomas presents an original study of the status of value and its relation to the contexts in which evaluative claims are justified. He articulates and defends the view that human beings do possess moral and political knowledge, but that it is historically and culturally contextual knowledge in ways that, say, mathematical or chemical knowledge is not. His exposition of a 'cognitivist contextualism' in ethics and politics builds upon contemporary work in epistemology, moralphilosophy, and political theory to fashion an argument that is relevant to current debates about culture, modernity, and relativism.
This volume addresses context from three comprehensive perspectives: first, its importance, the issues surrounding context, and its value in the laboratory and the field; second, the theory guiding the AI used to model its context; and third, its applications in the field (e.g., decision-making). This breadth poses a challenge. The book analyzes how the environment (context) influences human perception, cognition and action. While current books approach context narrowly, the major contribution of this book is to provide an in-depth review over a broad range of topics for a computational context no matter its breadth. The volume outlines numerous strategies and techniques from world-class scientists who have adapted their research to solve different problems with AI, in difficult environments and complex domains to address the many computational challenges posed by context. Context can be clear, uncertain or an illusion. Clear contexts: A father praising his child; a trip to the post office to buy stamps; a policewoman asking for identification. Uncertain contexts: A sneak attack; a surprise witness in a courtroom; a shout of "Fire! Fire!" Contexts as illusion: Humans fall prey to illusions that machines do not (Adelson’s checkerboard illusion versus a photometer). Determining context is not easy when disagreement exists, interpretations vary, or uncertainty reigns. Physicists like Einstein (relativity), Bekenstein (holographs) and Rovelli (universe) have written that reality is not what we commonly believe. Even outside of awareness, individuals act differently whether alone or in teams. Can computational context with AI adapt to clear and uncertain contexts, to change over time, and to individuals, machines or robots as well as to teams? If a program automatically "knows" the context that improves performance or decisions, does it matter whether context is clear, uncertain or illusory? Written and edited by world class leaders from across the field of autonomous systems research, this volume carefully considers the computational systems being constructed to determine context for individual agents or teams, the challenges they face, and the advances they expect for the science of context.
The second volume of this successful handbook represents varied perspectives on the fast-expanding field of Service Science. The novel work collected in these chapters is drawn from both new researchers who have grown-up with Service Science, as well as established researchers who are adapting their frames for the modern service context. The first Handbook of Service Science marked the emergence of Service Science when disciplinary studies of business-to-customer service systems intertwined to meet the needs of a new era of business-to-business and global service ecosystems. Today, the evolving discipline of Service Science involves advanced technologies, such as smartphones, cloud, social platforms, big data analytics, and artificial intelligence. These technologies are reshaping the service landscape, transforming both business models and public policy, ranging from retail and hospitality to transportation and communications. By looking through the eyes of today’s new Service Scientists, it is anticipated that value and grand challenges will emerge from the integration of theories, methods, and techniques brought together in the first volume, but which are now rooted more deeply in service-dominant logic and systems thinking in this second volume. The handbook is divided into four parts: 1) Service Experience--On the Human-centered Nature of Service; 2) Service Systems–On the Nature of Service Interactions; 3) Service Ecosystems–On the Broad Context of Service; 4) Challenges–On Rethinking the Theory and Foundations of Service Science. The chapters add clarity on how to identify, enable, and measure service, thus allowing for new ideas and connections made to physics, design, computer science, and data science and analytics for advancing service innovation and the welfare of society. Handbook of Service Science, Volume II offers a thorough reference suitable for a wide-reaching audience including researchers, practitioners, managers, and students who aspire to learn about or to create a deeper scientific foundation for service design and engineering, service experience and marketing, and service management and innovation.
To make sense of the world, we’re always trying to place things in context, whether our environment is physical, cultural, or something else altogether. Now that we live among digital, always-networked products, apps, and places, context is more complicated than ever—starting with "where" and "who" we are. This practical, insightful book provides a powerful toolset to help information architects, UX professionals, and web and app designers understand and solve the many challenges of contextual ambiguity in the products and services they create. You’ll discover not only how to design for a given context, but also how design participates in making context. Learn how people perceive context when touching and navigating digital environments See how labels, relationships, and rules work as building blocks for context Find out how to make better sense of cross-channel, multi-device products or services Discover how language creates infrastructure in organizations, software, and the Internet of Things Learn models for figuring out the contextual angles of any user experience
This volume addresses foundational issues of context-dependence and indexicality, which are at the center of the current debate within the philosophy of language. Topics include the scope of context-dependency, the nature of content and the character of input data of cognitive processes relevant for the interpretation of utterances. There's also coverage of the role of beliefs and intentions as contextual factors, as well as the validity of arguments in context-sensitive languages. The contributions consider foundational issues regarding context-sensitivity from three different, yet related, perspectives on the phenomenon of context-dependence: representational, structural, and functional. The contributors not only address the representational, structural and/or functional problems separately but also study their mutual connections, thus furthering the debate and bringing competing approaches closer to unification and consensus. This text appeals to students and researchers within the field. This is a very useful collection of essays devoted to the roles of context in the study of language. Its essays provide a useful overview of the current debates on this topic, and they put forth novel contributions that will undoubtedly be of relevance for the development of all areas in philosophy and linguistics interested in the notion of context. Stefano Predelli Department of Philosophy, University of Nottingham, Nottingham, UK
Privacy is one of the most urgent issues associated with information technology and digital media. This book claims that what people really care about when they complain and protest that privacy has been violated is not the act of sharing information itself—most people understand that this is crucial to social life —but the inappropriate, improper sharing of information. Arguing that privacy concerns should not be limited solely to concern about control over personal information, Helen Nissenbaum counters that information ought to be distributed and protected according to norms governing distinct social contexts—whether it be workplace, health care, schools, or among family and friends. She warns that basic distinctions between public and private, informing many current privacy policies, in fact obscure more than they clarify. In truth, contemporary information systems should alarm us only when they function without regard for social norms and values, and thereby weaken the fabric of social life.
Thirteen seminal essays by Mark Richard develop a nuanced account of semantics and propositional attitudes. The collection addresses a range of topics in philosophical semantics and philosophy of mind, and is accompanied by a new Introduction which discusses attitudes realized by dispositions and other non-linguistic cognitive structures.
It's an obvious enough observation that the standards that govern whether ordinary speakers will say that someone knows something vary with context: What we are happy to call "knowledge" in some ("low-standards") contexts we'll deny is "knowledge" in other ("high-standards") contexts. But do these varying standards for when ordinary speakers will attribute knowledge, and for when they are in some important sense warranted in attributing knowledge, reflect varying standards for when it is or would be true for them to attribute knowledge? Or are the standards that govern whether such claims are true always the same? And what are the implications for epistemology if these truth-conditions for knowledge claims shift with context? Contextualism, the view that the epistemic standards a subject must meet in order for a claim attributing "knowledge" to her to be true do vary with context, has been hotly debated in epistemology and philosophy of language during the last few decades. In The Case for Contextualism Keith DeRose offers a sustained state-of-the-art exposition and defense of the contextualist position, presenting and advancing the most powerful arguments in favor of the view and against its "invariantist" rivals, and responding to the most pressing objections facing contextualism.
