Scientists often try to understand the world by building simplified and idealised models of it. Adam Toon develops a new approach to scientific models by comparing them to the dolls and toy trucks of children's imaginative games, and offers a unified framework to solve difficult metaphysical problems and help to make sense of scientific practice.

Scientists often try to understand the world by building simplified and idealised models of it. Adam Toon develops a new approach to scientific models by comparing them to the dolls and toy trucks of children's imaginative games, and offers a unified framework to solve difficult metaphysical problems and help to make sense of scientific practice.

This is the first collection of essays focused on the many-faceted work of Kendall L. Walton. Walton has shaped debate about the arts for the last 50 years. He provides a comprehensive framework for understanding arts in terms of the human capacity of make-believe that shows how different arts – visual, photographic, musical, literary, or poetic – can be explained in terms of complex structures of pretense, perception, imagining, empathy, and emotion. His groundbreaking work has been taken beyond aesthetics to address foundational issues concerning linguistic and scientific representations – for example, about the nature of scientific modelling or to explain how much of what we say is quite different from the literal meanings of our words. Contributions from a diverse group of philosophers probe Walton’s detailed proposals and the themes for research they open. The essays provide an overview of important debates that have Walton’s work at their core. This book will be of interest to scholars and graduate students working on aesthetics across the humanities, as well as those interested in the topic of representation and its intersection with perception, language, science, and metaphysics.

Make-believe plays a far stronger role in both the design and use of interfaces, games and services than we have come to believe. This edited volume illustrates ways for grasping and utilising that connection to improve interaction, user experiences, and customer value. Useful for designers, undergraduates and researchers alike, this new research provide tools for understanding and applying make-believe in various contexts, ranging from digital tools to physical services. It takes the reader through a world of imagination and intuition applied into efficient practice, with topics including the connection of human-computer interaction (HCI) to make-believe and backstories, the presence of imagination in gamification, gameworlds, virtual worlds and service design, and the believability of make-believe based designs in various contexts. Furthermore, it discusses the challenges inherent in applying make-believe as a basis for interaction design, as well as the enactive mechanism behind it. Whether used as a university textbook or simply used for design inspiration, Digital Make-Believe provides new and efficient insight into approaching interaction in the way in which actual users of devices, software and services can innately utilise it.

This monograph offers a critical introduction to current theories of how scientific models represent their target systems. Representation is important because it allows scientists to study a model to discover features of reality. The authors provide a map of the conceptual landscape surrounding the issue of scientific representation, arguing that it consists of multiple intertwined problems. They provide an encyclopaedic overview of existing attempts to answer these questions, and they assess their strengths and weaknesses. The book also presents a comprehensive statement of their alternative proposal, the DEKI account of representation, which they have developed over the last few years. They show how the account works in the case of material as well as non-material models; how it accommodates the use of mathematics in scientific modelling; and how it sheds light on the relation between representation in science and art. The issue of representation has generated a sizeable literature, which has been growing fast in particular over the last decade. This makes it hard for novices to get a handle on the topic because so far there is no book-length introduction that would guide them through the discussion. Likewise, researchers may require a comprehensive review that they can refer to for critical evaluations. This book meets the needs of both groups.

I will tell you a story that will make you believe in God." No story can guarantee being able to do this. Yet novelists can tell stories that make us think about what we believe about God and why. Despite repeated predictions of the death of the novel, thousands of works of fiction are published and read in Britain each year. Although Western society is less religiously observant than it was, many 21st-century novelists persist in pursuing theological, religious and spiritual themes. Make-Believe seeks to explain why. With chapters offering analyses of novels from several genres - so-called literary fiction, historical fiction, science fiction, fantasy and dystopia - David Dickinson discusses a wide spectrum of novelists. Authors who are avowedly atheistic and authors who have a vested interest in perpetuating biblical stories are both featured. Well-known writers such as Rushdie, McEwan, McCarthy and Martell rub shoulders with some you may be meeting for the first time. Appealing to literature students and people who simply enjoy reading, whether Christian or not, this study of God in novels invites us to open our minds and allow aspects of our culture to shape our understanding of God and to change our ways of talking about the divine.

Models and theories are of central importance in science, and scientists spend substantial amounts of time building, testing, comparing and revising models and theories. It is therefore not surprising that the nature of scientific models and theories has been a widely debated topic within the philosophy of science for many years. The product of two decades of research, this book provides an accessible yet critical introduction to the debates about models and theories within analytical philosophy of science since the 1920s. Roman Frigg surveys and discusses key topics and questions, including: What are theories? What are models? And how do models and theories relate to each other? The linguistic view of theories (also known as the syntactic view of theories), covering different articulations of the view, its use of models, the theory-observation divide and the theory-ladenness of observation, and the meaning of theoretical terms. The model-theoretical view of theories (also known as the semantic view of theories), covering its analysis of the model-world relationship, the internal structure of a theory, and the ontology of models. Scientific representation, discussing analogy, idealisation and different accounts of representation. Modelling in scientific practice, examining how models relate to theories and what models are, classifying different kinds of models, and investigating how robustness analysis, perspectivism, and approaches committed to uncertainty-management deal with multi-model situations. Models and Theories is the first comprehensive book-length treatment of the topic, making it essential reading for advanced undergraduates, researchers, and professional philosophers working in philosophy of science and philosophy of technology. It will also be of interest to philosophically minded readers working in physics, computer sciences and STEM fields more broadly.