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The Inevitability of Artificial Intelligence (AI)
The Inevitability of Artificial Intelligence (AI)

... that humans still maintain some measure of control over these godlike beings, while deriving utility and pleasure out of them. This is, essentially, the desire to own and use an incredibly powerful, super- intelligent PC. This is understandable in the context of today's consumer-centric world It is ...
finance with artificial intelligence
finance with artificial intelligence

Expert Systems
Expert Systems

... What is intelligence ? There is no unique definition of intelligence. Webster's dictionary defines intelligence as, " the ability to understand new or trying situations ". The more commonly accepted definition is " the ability to perceive, understand and learn about new situations ". The human brai ...
Graph Logic Model Framework for Predictive Linguistic Analysis
Graph Logic Model Framework for Predictive Linguistic Analysis

... During our previous research over migration of terms and areas in curriculum design [Bacon13] it was discovered that areas of research and knowledge in general are moving, changing, morphing and this “evolution” can be detected and even predicted. While practical use of this conception was already p ...
is is an exciting time to be an artificial intelligence... intensive, it ensures that IJCAI adheres to the highest standards...
is is an exciting time to be an artificial intelligence... intensive, it ensures that IJCAI adheres to the highest standards...

... ese are the Machine Learning Track, Knowledge Representation Track and Computational Sustainability Track. Track chairs were encouraged to be innovative in designing their programs. A newproblem paper type is introduced in the Machine Learning Track, for example, to allow researchers who report on ...
CptS 440 / 540 Artificial Intelligence
CptS 440 / 540 Artificial Intelligence

... One to show the adequacy of predicate logic One to show the inadequacy of predicate logic One to show that lightbulb logic is nonmonotonic One to show that it isn't nonmonotonic One to incorporate nonmonotonicity into predicate logic One to determine the bindings for the variables One to show the co ...
Page 113 - JUfiles
Page 113 - JUfiles

... o Information agents– are intelligent agents that search for information of some kind and bring you the information back. The best known information agents are buyer agents (also known as shopping agents), agents on a Website that help you, the customer, find products and services you need. o Monito ...
today`s newsletter
today`s newsletter

... decisions better than humans is the ultimate dream of artificial intelligence. In the near future, we envision that with advanced AI technologies each person and each enterprise will have multiple intelligent computer assistants to help accomplish various tasks with results that are as good or even ...
Machine Learning - University of Birmingham
Machine Learning - University of Birmingham

... – Any change in the knowledge of a system that allows it to perform better on subsequent tasks – Knowledge. Hmmm... How should knowledge be represented? We do not know how it is represented in our own brains! – Think for a moment about how knowledge might be represented in a computer. – If I told yo ...
Sex, Lies and Video Games: An Interactive Storytelling
Sex, Lies and Video Games: An Interactive Storytelling

... All actors compete for “resources” Resources: Time, physical objects Unavailability of a resource necessitates re-planning capabilities © American Association of Artificial Intelligence 2002 ...
IAI : Biological Intelligence and Neural Networks
IAI : Biological Intelligence and Neural Networks

... They are able to form appropriate mappings between input and output representations. One of the most important features of neural networks is their ability to learn and generalize from a set of training data. They adapt the strengths/weights of the connections between neurons so that each input prod ...
LOVING AIs - Institute of Noetic Sciences
LOVING AIs - Institute of Noetic Sciences

... We will use a double-blind crossover design to compare the experience of talking with the LOVING AI to the experience of talking with the same robot and OpenCog system but without the LOVING AI personality file (e.g., non-LOVING AI). The experience of the participants will be scored using three q ...
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Improvisation without Representation: Artificial Intelligence and Music
Improvisation without Representation: Artificial Intelligence and Music

... “the world is its own best model”. Brooks cites the theoretical work of Marvin Minsky as a source for his approach to designing intelligent robots. Both Minsky and Brooks describe decentralized, agent-based systems that could arguably be regarded as improvisational, in that they are designed to cope ...
THE PREDICATE
THE PREDICATE

... nets and genetic algorithms have been employed to solve this problem. The heuristic search, to be discussed shortly, has also been used for handling this problem. [6] Intelligent Control: In process control, the controller is designed from the known models of the process and the required control ob ...
pdf file
pdf file

... The area as sketched is essentially multidisciplinary. It combines aspects of Ambient Intelligence with knowledge from human-directed disciplines such as psychology, social science, neuroscience and biomedical sciences. Further development will depend on cooperation between researchers from these di ...
Management Information Systems
Management Information Systems

... • Artificial intelligence (AI): ability of computers to mimic or duplicate functions of the human brain • Artificial intelligence systems: people, procedures, hardware, software, data, and knowledge needed to develop computer systems and machines that demonstrate characteristics of intelligence ...
Turing`s Legacy
Turing`s Legacy

... transform input symbol strings into output symbol strings. • As long as the procedure is effective, humans can take the role of a computer by following that procedure. Indeed, some 60 years ago, a ‘computer’ was understood to be a human being! • By mechanizing this process, we obtain computers as we ...
An Initiative In Improving Knowledge Transfer In
An Initiative In Improving Knowledge Transfer In

... communication gives a spurt to requirements for faster transmitting of knowledge. It would be paradoxical to state that the above phenomena present problems in education. More appropriate, the mere growth of the knowledge stock, and the bare occurrence of multidisciplinary communication are necessar ...
PDF version of the program brochure
PDF version of the program brochure

... incorporating the potential, for better or worse, of such an event. Yet, we decided to move KI-2007 a few hundred footsteps away from it into the main campus of the University of Osnabrück, which is proud of hosting a KI conference for the first time. It is a relatively young university – in fact, g ...
Quantifying Uncertainty
Quantifying Uncertainty

... CSL452 - ARTIFICIAL INTELLIGENCE ...
System - Systers
System - Systers

... Concepts, Relations and If-Then Rules ...
an intelligent decision support using genetic fuzzy integration for
an intelligent decision support using genetic fuzzy integration for

... enable the construction and performance of selected cognitive decision-making functions form a key to the successful application of decision support systems [1]. In today’s technological era, intelligent decision support has become a need for system’s framework. The paper proposes a novel framework ...
AAAI Announces Newly Elected Fellows   
AAAI Announces Newly Elected Fellows   

... For significant contributions to natural language understanding and representation,  and development of the widely recognized methods for interlingual machine  ...
TATIANA A. GAVRILOVA
TATIANA A. GAVRILOVA

... Vestnik (Herald) of St. Petersburg University. Management Series, 2009 –. Information Theories and Applications, 2003 –. Information Technologies and Knowledge, 2007 –. Artificial Intelligence and Decision-Making, 1999 –. ...
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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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