Artificial intelligence (AI) is the intelligence of machines as well as branch of computer science which aims to develop it. Textbooks outline the field as “the study and design of intelligent agents,” where an intelligent agent is a system that detect its environment not to mention takes actions which improve its chances of good results. John McCarthy, who coined the term in 1956, defines it as “the science and engineering of making intelligent machines.”
Do you ever ask yourself how our modern day computers came into everyday living? If you do, then most likely, you’d like to read some awesome history, and consider all the philosophical debate on artificial intelligence, machine learning, as well as some of the future considered uses of this technology. If so, then I’d sure prefer to recommend an extremely interesting book to you. The one that was well ahead of its precious time, and one that these days would still cause you to think.
Yes, in case you are asking, this is a book that’s in my personal library. Which makes it a good book that I’d encourage you, if this topic interests you. The name of the book is;
“Soft Architecture Machine” by Nicholas Negroponte, MIT Press, MA, 1976, (140 pp), ISBM: 978-02621-4018-8
As a result, imagine a self creating artificially intelligent CAD CAM software program, that could design buildings, all by itself without a human operator, and also these could be buildings that would be more pleasing to humans, than perhaps the buildings that humans build them selves. Now consider artificial intelligence inside your home which regularly manipulates your home for your needs. Sort of like the Bill Gates high-tech home of the future on steroids.
AI research is extremely technical in addition to specialized, deeply divided into subfields that usually fail to communicate with each other. Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems, longstanding differences of opinion about how AI should be done and the application of widely differing tools. The central problems of AI include such traits as reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or “strong AI”) is still a long-term goal of (some) research.
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