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Philosophy of Time (Routledge Contemporary Introductions to Philosophy)

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As a growing area of research, the philosophy of time is increasingly relevant to different areas of philosophy and even other disciplines. This book describes and evaluates the most important debates in philosophy of time, under several subject areas: metaphysics, epistemology, physics, philosophy of language, philosophy of mind, cognitive science, rationality, and art.

Questions this book investigates include the following. Can we know what time really is? Is time possible, especially given modern physics? Must there be time because we cannot think without it? What do we experience of time? How might philosophy of time be relevant to understanding the mind–body relationship or evidence in cognitive science? Can the philosophy of time help us understand biases toward the future and the fear of death? How is time relevant to art?and is art relevant to philosophical debates about time? Finally, what exactly could time travel be? And could time travel satisfy emotions such as nostalgia and regret?

Through asking such questions, and showing how they might be best answered, the book demonstrates the importance philosophy of time has in contemporary thought. Each of the book’s ten chapters begins with a helpful introduction and ends with study questions and an annotated list of further reading. This and a comprehensive bibliography at the end of the book prepare the reader to go further in their study of the philosophy of time.

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A Practical Guide to Azure DevOps: Learn by doing - Third Edition
A Practical Guide to Azure DevOps: Learn by doing - Third Edition

DevOps has become a major topic for developers, testers, project managers and many others involved in building software products. Microsoft has introduced Azure DevOps as their tool for implementing DevOps practices. 

This book is intended to provide the reader a step-by-step, easy to follow guide...

Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python
Design Patterns in Python: Common GOF (Gang of Four) Design Patterns implemented in Python

*** Book also provides you FREE Access to Online Instructional Videos. See video codes in the book ***

This book is about the 23 common GoF (Gang of Four) Design Patterns implemented and in Python.

A Design Pattern is a description or template that can be repeatedly applied to a commonly recurring...

Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation
Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation
This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the...

Software Engineering for Absolute Beginners: Your Guide to Creating Software Products
Software Engineering for Absolute Beginners: Your Guide to Creating Software Products

Start programming from scratch, no experience required. This beginners’ guide to software engineering starts with a discussion of the different editors used to create software and covers setting up a Docker environment. Next, you will learn about repositories and version control along with its uses. Now that you are ready to...

Tableau Prep: Up & Running: Self-Service Data Preparation for Better Analysis
Tableau Prep: Up & Running: Self-Service Data Preparation for Better Analysis

For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include methods for preparing, cleaning, automating,...

Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift
Deep Learning with Swift for TensorFlow: Differentiable Programming with Swift

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Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both...

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