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Research priorities for robust and beneficial artificial intelligence
Research priorities for robust and beneficial artificial intelligence

... designs. Research on richer kinds of agents—for example, agents with layered architectures, anytime components, overlapping deliberative and reactive elements, metalevel control, etc.—could contribute to the creation of verifiable agents, but we lack the formal “algebra” to properly define, explore, ...
my listing - UBC Computer Science
my listing - UBC Computer Science

... was implemented in the Theorist program. A common reasoning strategy was: when we make observations, we explain the observations then make predictions from these explanations. Different reasoning frameworks can be obtained by considering who chooses the assumptions: the agent, an adversary or nature ...
intelligent - Institute for the Study of Learning and Expertise
intelligent - Institute for the Study of Learning and Expertise

... AI and Cognitive Psychology Much early AI research was inspired by, and drew upon insights from, studies of human thinking.  Examining high-level cognition in humans suggests both challenge tasks and ideas for machine intelligence.  Moreover, AI systems can serve as computational models of human ...
Slide - ICT@UP
Slide - ICT@UP

Intelligence
Intelligence

... One of the most significant papers on machine intelligence, “Computing Machinery and Intelligence”, was written by the British mathematician Alan Turing over fifty years ago . However, it still stands up well under the test of time, and the Turing’s approach remains universal. He asked: Is there tho ...
Approaching AI for Games
Approaching AI for Games

... regarding the validity of the test posed by Marvin Minsky (Minsky, 1982) sum it all up. Would it even be possible for any machine to pass such a test? More importantly: Do passing the Turing Test constitute a sufficient condition for intelligence or not? What does this mean for our questions on whet ...
A Model of Concurrent COmputation in Distributed Systems
A Model of Concurrent COmputation in Distributed Systems

... directly observing inner representations in their physical form. The results might vindicate a naturalism about the mind and show that the representations posited by cognitive psychologists or the beliefs and desires alluded to in folk psychology will turn out to be real, physical entities in the wo ...
1. Introduction - 서울대 : Biointelligence lab
1. Introduction - 서울대 : Biointelligence lab

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INTRODUCTION TO ARTIFICIAL INTELLIGENCE
INTRODUCTION TO ARTIFICIAL INTELLIGENCE

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AI Ch.1 - 서울대 Biointelligence lab
AI Ch.1 - 서울대 Biointelligence lab

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Introduction - Texas Tech University
Introduction - Texas Tech University

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Homework-booklet-yea.. - Haslingden High School
Homework-booklet-yea.. - Haslingden High School

Music Composition using Artificial Intelligence
Music Composition using Artificial Intelligence

... and duration makes sure that the patterns do not interfere with each other. By representing pitch and duration of music composition as two different entities, the authors develop a new method for music composition. ...
Finished Paper - Villanova Computer Science
Finished Paper - Villanova Computer Science

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Intelligence Science for Creating a Brain

... years as a visiting scholar in prestigious institutions such as the Ohio State University, University of Maryland, Erasmus University Rotterdam, National University of Singapore and many others. Professor Shi’s research and teaching interests are in the areas of intelligence science, distributed i ...
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Making artificial intelligence an everyday reality

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What is an Expert System

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Computer Systems Theory of Computation Computer Architecture
Computer Systems Theory of Computation Computer Architecture

... research develops large classes of problems, while the applied research produces high quality solutions to particular problems, e.g., an expert system for a particular industrial application. Much of the AI research is coordinated by the Center for Automation and Intelligent Systems Research (CAISR) ...
VII Argentine Symposium on Artificial Intelligence - FCEIA
VII Argentine Symposium on Artificial Intelligence - FCEIA

... ASAI 2005 seeks original contributions in a wide spectrum of Artificial Intelligence, ranging from state-of-the-art academic research to industrial and business applications having a significant impact. The symposium will consist of Invited Talks and Regular Paper Sessions presenting both mature wor ...
Some Lessons from Successes and Failures of Electronic Trading
Some Lessons from Successes and Failures of Electronic Trading

... – Study of evolving structure / communities in very large linked networks – CiteSeer project (network of approx. 2 million papers; 5 million citations; 400,000 scientists) ...
ARTIFICIAL INTELLIGENCE EDUCATION: EMOTIONAL
ARTIFICIAL INTELLIGENCE EDUCATION: EMOTIONAL

... have recently begun embodiment as the simplest way to engage/connect with users. Whereas there are several example systems during this area starting from robotic seals to game primarily based avatars, I realize the foremost compelling example to be destiny an automaton created within the android art ...
Mind, computational theories of
Mind, computational theories of

... Deductive arguments were the inspiration, and remain the clearest success, for CTM. Similar hopes are entertained by many philosophers and cognitive scientists for a logic of induction, abduction, practical reason and decision making (see Inductive inference; Inference to the best explanation; Ratio ...
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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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