You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Between 1905 and 1913, French physicist Jean Perrin's experiments on Brownian motion ostensibly put a definitive end to the long debate regarding the real existence of molecules, proving the atomic theory of matter. While Perrin's results had a significant impact at the time, later examination of his experiments questioned whether he really gained experimental access to the molecular realm. In this case study in the history and philosophy of science, George E. Smith and Raghav Seth here argue that despite doubts, Perrin's measurements were nevertheless exemplars of theory-mediated measurement-the practice of obtaining values for an inaccessible quantity by inferring them from an accessible proxy via theoretical relationships between them. They argue that it was actually Perrin more than any of his contemporaries who championed this approach during the years in question.
Tenaliram was the court jester of the renowned king of Vijayanagar State, Raja Krishnadevrai, and existed prior to Birbal, the renowned court jester of the Mughal Emperor, Akbar. Tenaliram’s period was during Babur’s reign. But many repartees of the two celebrated court jesters have become so popular all over India that at times it is difficult to ascribe them to Birbal or to Tenaliram. Born in the family of poor brahman Ramaiyyah, Tenali rose high in life sheerly on the strength of his intelligence and quick wit. Tenali’s real name was Ramling. He was born in the small town Gallipadu of Guntur district. His repartees are the gems of a quick witted man. He had a knack of proving his co...
In this book, Chris Haufe examines the idea of fruitfulness - the generative power that some ideas possess in abundance - in the context of science. He examines questions such as, what makes some ideas especially fruitful? How do practitioners in mathematics and the natural sciences reliably select particularly fruitful conveyances for their investigations? And how does each of these questions bear on the power of rational inquiry?
"What does it mean to be a realist about science if one takes seriously the view that scientific knowledge is always perspectival, namely historically and culturally situated? In this book, Michela Massimi articulates an original answer to this question. The book begins with an exploration of how scientific communities often resort to several models and a plurality of practices in some areas of inquiry, drawing on examples from nuclear physics, climate science, and developmental psychology. Taking this plurality in science as a starting point, Massimi explains the perspectival nature of scientific representation, the role of scientific models as inferential blueprints, and the variety of sci...
The past few decades have seen an explosion of research on causal reasoning in philosophy, computer science, and statistics, as well as descriptive research in psychology about how people reason about causes. Causation with a Human Face integrates these lines of research and argues for an understanding of how each can inform the other: normative ideas can suggest interesting experiments, while descriptive results can suggest important normative concepts. Woodward's overall framework builds on an interventionist treatment of causation, and discusses proposals about the role of invariant or stable relationships in successful causal reasoning and the notion of proportionality. He argues that these normative ideas are reflected in the causal judgments that people actually make as a descriptive matter.
Computing systems are ubiquitous in contemporary life. Even the brain is thought to be a computing system of sorts. But what does it mean to say that a given organ or system "computes"? What is it about laptops, smartphones, and nervous systems that they are deemed to compute - and why does itseldom occur to us to describe stomachs, hurricanes, rocks, or chairs that way? These questions are key to laying the conceptual foundations of computational sciences, including computer science and engineering, and the cognitive and neural sciences.Oron Shagrir here provides an extended argument for the semantic view of computation, which states that semantic properties are involved in the nature of co...
"This book develops a rigorous theory of indeterminism as a local and modal concept. Its crucial insight is that our world contains events or processes with alternative, really possible outcomes. The theory aims at clarifying what this assumption involves, and it does it in two ways. First, it provides a mathematically rigorous framework for local and modal indeterminism. Second, we support that theory by spelling out the philosophically relevant consequences of this formulation and by showing its fruitful applications in metaphysics. To this end, we offer a formal analysis of modal correlations and of causation, which is applicable in indeterministic and non-local contexts as well. We also ...
This book builds on the path-breaking work of George E. Smith and further explores the notions of evidence and confirmation in the exact sciences from two perspectives: conceptual and historical. Contributions in this volume investigate the philosophical presuppositions, explanatory scope, and historical precursors of evidence in mathematical physics and related disciplines. The papers are written by and of interest to philosophers and historians of science.
Many industries are affected by the growing advancements and stability of the internet of things (IoT) technologies and tools. These include the agricultural fields. With such advancements, decision-enabling agricultural field data gets gathered and transmitted meticulously through numerous IoT sensors and devices deployed in agricultural fields and their surroundings. Further study on these technologies is required to ensure they are utilized appropriately within the field. Applying Drone Technologies and Robotics for Agricultural Sustainability conveys the latest trends and transitions happening in the digital space in order to fulfill the varying needs and sentiments of the agriculture domain. Covering key topics such as deep learning, robots, sustainability, and smart farming, this premier reference source is ideal for industry professionals, farmers, computer scientists, policymakers, researchers, scholars, practitioners, instructors, and students.