Applications of artificial intelligence

Outline of artificial intelligence The following outline is provided as an overview of and topical guide to artificial intelligence: Artificial intelligence (AI) – branch of computer science that deals with intelligent behavior, learning, and adaptation in machines. Research in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Branches of artificial intelligence[edit] Some applications of artificial intelligence[edit] Philosophy of artificial intelligence[edit] Philosophy of artificial intelligence Artificial intelligence and the future[edit] Strong AI – hypothetical artificial intelligence that matches or exceeds human intelligence — the intelligence of a machine that could successfully perform any intellectual task that a human being can. History of artificial intelligence[edit] Main article: History of artificial intelligence Artificial intelligence in fiction[edit] Main article: Artificial intelligence in fiction Psychology and AI[edit] Concepts in artificial intelligence[edit] 1970s[edit]

Araucaria (software) The user interface is composed of a main window (diagramming), a schemes editor and the AraucariaDB online interface. While Araucaria helps identify the structure of an argument, it provides freedom of analysis resources. The scheme editor allows the user to create argumentation schemes, group them together and save them into a scheme set file. The AraucariaDB Online Repository can be browsed to retrieve specific arguments to fit a diagram. Because it is based on XML, a standard widely used by developers, AML content can be accessed through other software that support XML.

Our Fear of Artificial Intelligence Years ago I had coffee with a friend who ran a startup. He had just turned 40. His father was ill, his back was sore, and he found himself overwhelmed by life. “Don’t laugh at me,” he said, “but I was counting on the singularity.” My friend worked in technology; he’d seen the changes that faster microprocessors and networks had wrought. But what if it wasn’t so benevolent? No worries, you might say: you could just program it to make exactly a million paper clips and halt. Things Reviewed “Superintelligence: Paths, Dangers, Strategies” By Nick Bostrom Oxford University Press, 2014 Bostrom does not believe that the paper-clip maximizer will come to be, exactly; it’s a thought experiment, one designed to show how even careful system design can fail to restrain extreme machine intelligence. If this sounds absurd to you, you’re not alone. Yet a lot of smart, thoughtful people agree with Bostrom and are worried now. Volition The question “Can a machine think?” Insurance policy

Artificial intelligence AI research is highly technical and specialized, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence is still among the field's long-term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. The field was founded on the claim that a central property of humans, intelligence—the sapience of Homo sapiens—"can be so precisely described that a machine can be made to simulate it History[edit]

Argument map Visual representation of the structure of an argument Argument maps are commonly used in the context of teaching and applying critical thinking.[2] The purpose of mapping is to uncover the logical structure of arguments, identify unstated assumptions, evaluate the support an argument offers for a conclusion, and aid understanding of debates. Argument maps are often designed to support deliberation of issues, ideas and arguments in wicked problems.[3] A number of different kinds of argument maps have been proposed but the most common, which Chris Reed and Glenn Rowe called the standard diagram,[5] consists of a tree structure with each of the reasons leading to the conclusion. There is no consensus as to whether the conclusion should be at the top of the tree with the reasons leading up to it or whether it should be at the bottom with the reasons leading down to it.[5] Another variation diagrams an argument from left to right.[6] According to Douglas N. [edit] Diagramming written text

Artificial Intelligence Use one of the services below to sign in to PBS: You've just tried to add this video to your Watchlist so you can watch it later. But first, we need you to sign in to PBS using one of the services below. You’ll be able to manage videos in your Watchlist, keep track of your favorite shows, watch PBS in high definition, and much more! You've just tried to select this program as one of your favorites. To get you watching PBS in high definition we need you to sign in to PBS using one of the services below. You'll be able to manage videos in your Watchlist, keep track of your favorite shows, watch PBS in high definition, and much more! Don’t have a PBS Account? Creating an account is free and gets you: Access to High-Definition streamingA personal area on the site where you can access: Favorite ShowsWatchlistViewing HistoryEarly access to exciting new features

artifical intelligence diagram Artificial intelligence in video games AI used for video games, usually non-player characters In general, game AI does not, as might be thought and sometimes is depicted to be the case, mean a realization of an artificial person corresponding to an NPC in the manner of the Turing test or an artificial general intelligence. The term game AI is used to refer to a broad set of algorithms that also include techniques from control theory, robotics, computer graphics and computer science in general, and so video game AI may often not constitute "true AI" in that such techniques do not necessarily facilitate computer learning or other standard criteria, only constituting "automated computation" or a predetermined and limited set of responses to a predetermined and limited set of inputs.[4][5][6] Many industries and corporate voices[who?] argue that game AI has come a long way in the sense that it has revolutionized the way humans interact with all forms of technology, although many[who?] People[who?] [edit] In modern video games Lists

The Impact of Artificial Intelligence on R&D and Innovation For the past couple of centuries, general-purpose technologies have been the key drivers of productivity and economic growth. The steam engine, electricity and the internal combustion engine are prominent examples of GPTs in the 18th and 19th century. More recently, semiconductors, computers and the internet have led to the digital revolution of the past several decades. Beyond innovations in existing sectors, the rapidly improving price/performance of GPTs have led over time to the creation of whole new applications and industries. How about artificial intelligence? Last year I heard a simple, compelling explanation for AI as a GPT at a seminar by University of Toronto Professor Avi Goldfarb, who along with colleagues has been conducting research on the economics of machine intelligence. The computer revolution can be viewed as being all about the dramatic reductions in the cost of arithmetic calculations.

IMG 5463 As a service Service model[edit] See cloud computing service models for more information. Examples[edit] Examples include: References[edit] ^ Robin Hastings, Making the Most of the Cloud: How to Choose and Implement the Best Services (2013), p. 3.^ I. Association for the Advancement of Artificial Intelligence