Artificial Intelligence – A Very Short Introduction – Margaret A.Boden

Biologists, too, have used AI—in the form of ‘artificial life’ (A-Life), which develops computer models of differing aspects of living organisms. This helps them to explain various types of animal behaviour, the development of bodily form, biological evolution, and the nature of life itself. Besides affecting the life sciences, AI has influenced philosophy. Many philosophers today base their accounts of mind on AI concepts. They use these to address, for instance, the notorious mind–body problem, the conundrum of free will, and the many puzzles regarding consciousness. However, these philosophical ideas are hugely controversial. And there are deep disagreements about whether any AI system could possess real intelligence, creativity, or life. Last, but not least, AI has challenged the ways in which we think about humanity—and its future. Indeed, some people worry about whether we actually have a future, because they foresee AI surpassing human intelligence across the board. Although a few thinkers welcome this prospect, most dread it: what place will remain, they ask, for human dignity and esponsibility?

Related posts:

Python Machine Learning - Sebastian Raschka
Learn Keras for Deep Neural Networks - Jojo Moolayil
Generative Deep Learning - Teaching Machines to Paint, Write, Compose and Play - David Foster
Deep Learning with Hadoop - Dipayan Dev
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Understanding Machine Learning from theory to algorithms - Shai Shalev-Shwartz & Shai Ben-David
Machine Learning - An Algorithmic Perspective second edition - Stephen Marsland
Introducing Data Science - Davy Cielen & Arno D.B.Meysman & Mohamed Ali
Artificial Intelligence by example - Denis Rothman
Natural Language Processing in action - Hobson Lane & Cole Howard & Hannes Max Hapke
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Deep Learning with Python - Francois Chollet
Python Deep Learning Cookbook - Indra den Bakker
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Python Machine Learning Eqution Reference - Sebastian Raschka
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Introduction to Scientific Programming with Python - Joakim Sundnes
Applied Text Analysis with Python - Benjamin Benfort & Rebecca Bibro & Tony Ojeda
Deep Learning - A Practitioner's Approach - Josh Patterson & Adam Gibson
Python Machine Learning Cookbook - Practical solutions from preprocessing to Deep Learning - Chris A...
Machine Learning Mastery with Python - Understand your data, create accurate models and work project...
Machine Learning with Python for everyone - Mark E.Fenner
Machine Learning Applications Using Python - Cases studies form Healthcare, Retail, and Finance - Pu...
Introduction to the Math of Neural Networks - Jeff Heaton
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning with Applications Using Python - Navin Kumar Manaswi
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
Machine Learning - The art and science of alhorithms that make sense of data - Peter Flach
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
Deep Learning for Natural Language Processing - Jason Brownlee
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf