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Computing News – Spring 2016
Computing News – Spring 2016

... about the AlphaGo vs Lee Sedol go match - 12 March 2016: http://www.bbc.co.uk/programmes/b006qj9z & http://www.bbc.co.uk/programmes/b009m51q. He was also a guest of Radio 4’s Agree to Differ on 20 April: http://www.bbc.co.uk/programmes/b077gtvz. The Data Science Institute has launched a research col ...
New approaches for heuristic search: linkage with artificial
New approaches for heuristic search: linkage with artificial

... intrinsically in knowledge-base operations, especially for logical and analogical reasoning mechanisms. Thus, one bilateral linkage between operations research and artificial intelligence is their common interest in solving hard problems with heuristic search. That is the focus here. But longstandin ...
Logic Engineering in Medicine - Institute for Computing and
Logic Engineering in Medicine - Institute for Computing and

... techniques, and popularised by the Advanced Computation Laboratory at the Imperial Cancer Research Fund in London [Fox et al., 1990b]. The meaning of the term ‘logic engineering’ in this paper is taken to be wider; of interest here is the use of techniques from the fields of logic programming, mathe ...
the formal sciences discover the philosophers` stone
the formal sciences discover the philosophers` stone

... sciences, and there were social sciences. Then there were mathematics and logic, which might or might not be described as sciences, but seemed to be plainly distinguished from the other sciences by their use of proof instead of experiment, measurement and theorising. This neat picture has been distu ...
Business Process Innovation with Artificial Intelligence
Business Process Innovation with Artificial Intelligence

... AI investigates decision and utility theory [25, 30, 5, 44, 40] to represent and compute preferences of rational agents and determine the actions than an agent should perform when maximizing its utility function. Decision theory has its roots in economics and investigates situations where agents hav ...
Wearable Computing System with Input
Wearable Computing System with Input

Intelligent Agents - University of Washington
Intelligent Agents - University of Washington

... instructions" that "from the point of view of someone outside the room" your responses are "absolutely indistinguishable from those of Chinese speakers." Just by looking at your answers, nobody can tell you "don't speak a word of Chinese." Producing answers "by manipulating uninterpreted formal symb ...
Decision Support Systems
Decision Support Systems

... The Decision Support Systems are used because they have the following properties: • Speedy computation: enables many computations quickly at a low cost; the speed of executions increasing every day ; • Improved communication and collaboration: decisions are made by groups from different locations (t ...
11. Building Information Systems
11. Building Information Systems

... Managing Knowledge for the Digital Firm KNOWLEDGE MANAGEMENT IN THE ORGANIZATION ...
Increase profit, drive growth and improve
Increase profit, drive growth and improve

... focus on the hardest cases and reduces repetition and stress. We’ve seen this improve moderators’ job satisfaction, efficiency and consistency. Moderators are freed to engage in community management and active conversation instead of cleaning up the same mess over and over again. It’s your moderatio ...
The Journal of Technology Studies - Volume 41
The Journal of Technology Studies - Volume 41

Motivated Learning for Machine Intelligence_ Nov
Motivated Learning for Machine Intelligence_ Nov

... Steels suggested equipping an agent with self-motivation.  “Flow” experienced when people perform their expert activity well would motivate to accomplish even more complex tasks.  But what is the mechanism of “flow”? ...
CSE 571: Artificial Intelligence
CSE 571: Artificial Intelligence

... Audio of [Nov 23, 2009] ML estimation of parameters with complete data in bayes networks; understanding when and why parameter estimation decouples into separate problems. Incomplete data problem. The database example. The hidden variable problem--why would we focus on the hidden variable rather tha ...
Planning with Different Forms of Domain
Planning with Different Forms of Domain

... on propositional encodings still fare better. There are currently more implementations of propositional solvers than of logic programming answer set generators, and the best propositional solvers tend to be faster than the best answer set generators. The rest of this paper is organized as follows: w ...
Prediction of lower extremities` movement by angle–angle diagrams
Prediction of lower extremities` movement by angle–angle diagrams

... mainly due their prospective application in the myoelectrical prostheses’ control systems. In our study of gait, we apply new methods that are based on the analysis of gait angles by cyclograms (also called angle–angle diagrams or cyclokinograms) and artificial intelligence and allow us to predict t ...
Word - Egodeath.com
Word - Egodeath.com

... Mechanisms of Thought List of Illustrations Prologue: The When, the Where, and the Who of This Book A Short History of FARG and FARGonauts The Double-Strandedness of FARG’s Intellectual Goals This Book in a Nutshell Some Vital Acknowledgments Post Scriptum 1. To Seek Whence Cometh a Sequence Pattern ...
chapter 18a slides
chapter 18a slides

... Learning agent = performance element + learning element Learning method depends on type of performance element, available feedback, type of component to be improved, and its representation For supervised learning, the aim is to find a simple hypothesis that is approximately consistent with training ...
machine ethics and robot ethics
machine ethics and robot ethics

... The pathways for technological progress are uncertain as new discoveries and convergences between areas of research afford novel, and often unanticipated, opportunities. However, the determination of which technological possibilities are being realized or probable, and which are merely plausible or ...
Applications of Artificial Bee Colony Algorithms
Applications of Artificial Bee Colony Algorithms

... from different sources such as power line interference, movements of recording electrodes. The signal to noise ratio can be improved by designing the proper digital filters, can be applied to medical signals. An IIR filter for transcranial Doppler signal using ABC is proposed by Karaboga [8] to impr ...
chapter one
chapter one

... later become known as LMS, or Least Mean Squares. LMS, and its variations, has been used extensively in a variety of applications, especially in the last few years. This gradient search method provided a mathematical method for finding an answer that minimized the error. The learning process was not ...
Introduction to Planning
Introduction to Planning

... Evolutionary computation approach ...
1. Introduction
1. Introduction

... systems in the context of the travelling salesman, bus-scheduling and vehicle routing problems are investigated. Special attention is paid to the generative policies improving the performance of ant systems. The leader and elite strategies modeled upon the behaviour of real ants are examples of such ...
Expert Systems - University of Southern California
Expert Systems - University of Southern California

... As noted above, people appeared to use rules to reason to conclusions, and experts were seen as supplying rules that would be used to guide others through task solution. As a result, most of the so-called “expert systems” probably were “rule – based systems.” Researchers had seen that this type of r ...
High Performance Data mining by Genetic Neural Network
High Performance Data mining by Genetic Neural Network

... fact, the use of a validation set can detect any irregularities in the data and prevents the optimal weights for the network. Balance between genetic programming and neural networks, the network topology are an interesting topic. In advance of his generation program using appropriate structure for t ...
this publication in PDF format
this publication in PDF format

... mere eight years after the appearance of Turing’s article, when computers were still in their infancy and even high-level programming languages had only just been invented, Simon and Newell11, two of the founders of the field of artificial intelligence, wrote, ‘…there are now in the world machines t ...
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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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