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AI Resources Fact Sheet
AI Resources Fact Sheet

... introduction while Rob Callan’s covers things in more detail and would work well as a follow up for someone interested in finding out more. Obviously as general text books neither of them covers any topic in the sort of level of detail that a specialist text book would nor do they explore some of th ...
How the Body Shapes the Way We Think
How the Body Shapes the Way We Think

Introduction
Introduction

... Knowledge Representation – to store and manipulate information (logical and probabilistic representations) Automated reasoning / Inference – to use the stored information to answer questions and draw new conclusions Machine Learning – intelligence from data; to adapt to new circumstances and to dete ...
(pdf)
(pdf)

... Goal: Build a computational model of how to generate such action sequences for related tasks. ...
Knowledge Based Systems
Knowledge Based Systems

... sort a structured list using a quick sort, bubble sort or insertion sort algorithm ...
Choosing between different AI approaches
Choosing between different AI approaches

... naval service whose object is to obtain information (esp. by means of secret service officers or a system of spies)”. Both are interesting definitions of what is considered usually as intelligence. I prefer not to look at philosophical definitions because it would imply forgetting the aim of this pa ...
Papert (1988)
Papert (1988)

... processing side of AI has wandered off into building systems of Brobdingnagian proportions (Lenat et al., 1986). Whether or not such large-scale software-engineering projects are even doable (Brooks, 1975; Cherniak, 1988; Parnas, 1985), AI’s most ‘‘successful’’ programs, such as SHRDLU (Winograd, 19 ...
Superintelligence Does Not Imply Benevolence
Superintelligence Does Not Imply Benevolence

... If machines become more intelligent than humans, does it follow that their intelligence will lead them toward beneficial behavior toward humans even without specific efforts to design moral machines? Earth’s history suggests that increasing intelligence, knowledge, and rationality result in an increa ...
Turing`s Imitation Game: a discussion with the
Turing`s Imitation Game: a discussion with the

Lecture 1 Slides  - UBC Department of Computer Science
Lecture 1 Slides - UBC Department of Computer Science

... Artificial intelligence is the science of making machines do things that would require intelligence if done by men. Marvin Minsky (1968) ...
Organizational Foundations of Information Systems
Organizational Foundations of Information Systems

... • GIS databases consist of sets of information called layers. Each layer represents a particular type of geographic data such as roads, utilities, population, elevation, and so on. The GIS can combine these layers into one image. (continued) ...
CLASS1: Introduction - Xavier Institute of Management
CLASS1: Introduction - Xavier Institute of Management

... business and industrial applications in Eastern Europe. The Japanese have adopted PROLOG as the kernel language for their fifth generation AI effort (Moto-Oka, 1981). This is probably due to the ability of PROLOG to subsume the features of LISP more easily than the inverse of LISP subsuming the feat ...
Machine Learning and AI in Law Enforcement
Machine Learning and AI in Law Enforcement

... 1948 Norbert Wiener: Cybernetics - Control and Communication in the Animal and the Machine 1950 The Touring test 1951 Marvin Minsky’s analog neural networks (1st revolution) 1956 Dartmouth conference: Artificial intelligence with aim of human like intelligence 1956-1974 Many small scale “toy” projec ...
File - FCI-ZU
File - FCI-ZU

... • Yes. Expand the meaning of "grunt-work", and make a machine do it. • No. The devastating dehumanisation of automation. • No. Economic objections? • No. A National Aeronautics and Space Administration report supporting manned space exploration states, "Man is the lowest cost, 150-pound, non-linear, ...
Hybrid Intelligence and the Future of Work
Hybrid Intelligence and the Future of Work

... Microtasks Workshop, May 8, 2016, San Jose, USA. ...
AI
AI

... great deal of information about a restricted topic. One of the first NL programs to operate in such a domain was SHRDLU, developed by Terry Winograd, Stanford University. It answered questions about an imaginary world of blocks, pyramids, and an arm that moved them.27 A variety of systems have also ...
Document
Document

... systems that translate from one human language to another are in existence, but they are not nearly as good as human translators. There are also voice recognition systems that can convert spoken sounds into written words, but they do not understand what they are writing; they simply take dictation. ...
Music and AI Past and Present
Music and AI Past and Present

... algorithmic procedure, the composer is removed from large portions of the composition process. The composer only needs to invent certain kernels of the music, a single melody or section. Mozart also used automated composition techniques in his Musikalisches Wurfelspiel (Dice Music). This process ent ...
TURING TEST
TURING TEST

On Intelligence – Part 1
On Intelligence – Part 1

... functions. He read hundreds of papers. Numerous people from we have no productive theories about what intelligence is or many fields had written extensively about thinking and intel- how the brain works as a whole. The brain is not a computer, ligence. Each field had its own set of journals and eac ...
Document
Document

... Predicted that by the year 2000, a machine would have a 30% chance of fooling a lay person for 5 minutes Anticipated all major arguments against AI in the following 50 years Suggested major components of AI: knowledge, reasoning, language, understanding, learning. Problem: Turing test is not reprodu ...
presentation
presentation

... Predicted that by the year 2000, a machine would have a 30% chance of fooling a lay person for 5 minutes Anticipated all major arguments against AI in the following 50 years Suggested major components of AI: knowledge, reasoning, language, understanding, learning. Problem: Turing test is not reprodu ...
Computer Science as Empirical Inquiry: Symbols and Search
Computer Science as Empirical Inquiry: Symbols and Search

... physical symbol system exercises its intelligence in problem solving by search--that is, by generating and progressively modifying symbol structures until it produces a solution structure. 3. Foundational Assumptions The study of logic and computers has revealed to us that intelligence resides in ph ...
Artificial Intelligence - Tennessee Technological University
Artificial Intelligence - Tennessee Technological University

... computer-tutoring programs that incorporate the ACT-R theory in the teaching of algebra, geometry and integrated math. The tutors are based on cognitive models that take the form of computer simulations that are capable of solving the types of problems that students are asked to solve. The tutors in ...
Power Point Slides used in lecture
Power Point Slides used in lecture

... You were supposed to write a paper for today? At your tables spend five minutes talking about what you wrote. Identify some “common ground” in your responses. Identify an idea that someone else wrote about that you wished you had said. ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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