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Philosophy through Computer Science

An Introduction

By: Daniel Lim

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Hardcover | 17 March 2023 | Edition Number 1

At a Glance

Hardcover
288 Pages

Dimensions(cm)
22.86 x 15.24 x 1.75

Hardcover

RRP $307.00

$265.75

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What do philosophy and computer science have in common? It turns out, quite a lot

In providing an introduction to computer science (using Python), Daniel Lim presents in this book key philosophical issues, ranging from external world skepticism to the existence of God to the problem of induction. These issues, and others, are introduced through the use of critical computational concepts, ranging from image manipulation to recursive programming to elementary machine learning techniques. In illuminating some of the overlapping conceptual spaces of computer science and philosophy, Lim teaches readers fundamental programming skills and allows them to develop the critical thinking skills essential for examining some of the enduring questions of philosophy.

Key Features

Teaches readers actual computer programming, not merely ideas about computers
Includes fun programming projects (like digital image manipulation and Game of Life simulation), allowing the reader to develop the ability to write larger computer programs that require decomposition, abstraction, and algorithmic thinking
Uses computational concepts to introduce, clarify, and develop a variety of philosophical issues
Covers various aspects of machine learning and relates them to philosophical issues involving science and induction as well as to ethical issues
Provides a framework to critically analyze arguments in classic and contemporary philosophical debates

Industry Reviews

"Philosophy and computer science have fascinating interconnections concerning knowledge, reality, and morality. With clarity and insight, Daniel Lim's book provides an excellent introduction to computing and philosophical investigation. He valuably shows how philosophical arguments and computer programs can combine to address deep questions about thinking and the world."
Paul Thagard, University of Waterloo, Canada

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